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Conference Paper
Jagdale, B.N., Bakal, J.W..  2014.  Synergetic cloaking technique in wireless network for location privacy. Industrial and Information Systems (ICIIS), 2014 9th International Conference on. :1-6.

Mobile users access location services from a location based server. While doing so, the user's privacy is at risk. The server has access to all details about the user. Example the recently visited places, the type of information he accesses. We have presented synergetic technique to safeguard location privacy of users accessing location-based services via mobile devices. Mobile devices have a capability to form ad-hoc networks to hide a user's identity and position. The user who requires the service is the query originator and who requests the service on behalf of query originator is the query sender. The query originator selects the query sender with equal probability which leads to anonymity in the network. The location revealed to the location service provider is a rectangle instead of exact co-ordinate. In this paper we have simulated the mobile network and shown the results for cloaking area sizes and performance against the variation in the density of users.

Li, Y., Liu, Y., Wang, Y., Guo, Z., Yin, H., Teng, H..  2020.  Synergetic Denial-of-Service Attacks and Defense in Underwater Named Data Networking. IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. :1569–1578.
Due to the harsh environment and energy limitation, maintaining efficient communication is crucial to the lifetime of Underwater Sensor Networks (UWSN). Named Data Networking (NDN), one of future network architectures, begins to be applied to UWSN. Although Underwater Named Data Networking (UNDN) performs well in data transmission, it still faces some security threats, such as the Denial-of-Service (DoS) attacks caused by Interest Flooding Attacks (IFAs). In this paper, we present a new type of DoS attacks, named as Synergetic Denial-of-Service (SDoS). Attackers synergize with each other, taking turns to reply to malicious interests as late as possible. SDoS attacks will damage the Pending Interest Table, Content Store, and Forwarding Information Base in routers with high concealment. Simulation results demonstrate that the SDoS attacks quadruple the increased network traffic compared with normal IFAs and the existing IFA detection algorithm in UNDN is completely invalid to SDoS attacks. In addition, we analyze the infection problem in UNDN and propose a defense method Trident based on carefully designed adaptive threshold, burst traffic detection, and attacker identification. Experiment results illustrate that Trident can effectively detect and resist both SDoS attacks and normal IFAs. Meanwhile, Trident can robustly undertake burst traffic and congestion.
Voronkov, Oleg Yu..  2019.  Synergetic Synthesis of the Hierarchical Control System of the “Flying Platform”. 2019 III International Conference on Control in Technical Systems (CTS). :23—26.
The work is devoted to the synthesis of an aircraft control system using a synergetic control theory. The paper contains a general description of the apparatus and its control system, a synthesis of control laws, and a computer simulation. The relevance of the work consists in the need to create a vertically take-off aircraft of the “flying platform” type in order to increase the efficiency of rescue operations in disaster zones where helicopters and other modern means can't cope with the task. The scientific novelty of the work consists in the application of synergetic approaches to the development of a hierarchical system for balancing the vehicle spatial position and to the coordinating energy-saving control of electric motors that receive energy from a turbine generator.
Laszka, Aron, Abbas, Waseem, Vorobeychik, Yevgeniy, Koutsoukos, Xenofon.  2017.  Synergic Security for Smart Water Networks: Redundancy, Diversity, and Hardening. Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks. :21–24.

Smart water networks can provide great benefits to our society in terms of efficiency and sustainability. However, smart capabilities and connectivity also expose these systems to a wide range of cyber attacks, which enable cyber-terrorists and hostile nation states to mount cyber-physical attacks. Cyber-physical attacks against critical infrastructure, such as water treatment and distribution systems, pose a serious threat to public safety and health. Consequently, it is imperative that we improve the resilience of smart water networks. We consider three approaches for improving resilience: redundancy, diversity, and hardening. Even though each one of these "canonical" approaches has been throughly studied in prior work, a unified theory on how to combine them in the most efficient way has not yet been established. In this paper, we address this problem by studying the synergy of these approaches in the context of protecting smart water networks from cyber-physical contamination attacks.

Laszka, A., Abbas, W., Vorobeychik, Y., Koutsoukos, X..  2018.  Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening. 2018 IEEE International Conference on Industrial Internet (ICII). :153–158.
As the Industrial Internet of Things (IIot) becomes more prevalent in critical application domains, ensuring security and resilience in the face of cyber-attacks is becoming an issue of paramount importance. Cyber-attacks against critical infrastructures, for example, against smart water-distribution and transportation systems, pose serious threats to public health and safety. Owing to the severity of these threats, a variety of security techniques are available. However, no single technique can address the whole spectrum of cyber-attacks that may be launched by a determined and resourceful attacker. In light of this, we consider a multi-pronged approach for designing secure and resilient IIoT systems, which integrates redundancy, diversity, and hardening techniques. We introduce a framework for quantifying cyber-security risks and optimizing IIoT design by determining security investments in redundancy, diversity, and hardening. To demonstrate the applicability of our framework, we present a case study in water-distribution systems. Our numerical evaluation shows that integrating redundancy, diversity, and hardening can lead to reduced security risk at the same cost.
Khan, Aasher, Rehman, Suriya, Khan, Muhammad U.S, Ali, Mazhar.  2019.  Synonym-based Attack to Confuse Machine Learning Classifiers Using Black-box Setting. 2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST). :1—7.
Twitter being the most popular content sharing platform is giving rise to automated accounts called “bots”. Majority of the users on Twitter are bots. Various machine learning (ML) algorithms are designed to detect bots avoiding the vulnerability constraints of ML-based models. This paper contributes to exploit vulnerabilities of machine learning (ML) algorithms through black-box attack. An adversarial text sequence misclassifies the results of deep learning (DL) classifiers for bot detection. Literature shows that ML models are vulnerable to attacks. The aim of this paper is to compromise the accuracy of ML-based bot detection algorithms by replacing original words in tweets with their synonyms. Our results show 7.2% decrease in the accuracy for bot tweets, therefore classifying bot tweets as legitimate tweets.
Tseng, S.-Y., Hsiao, C.-C., Wu, R.-B..  2020.  Synthesis and Realization of Chebyshev Filters Based on Constant Electromechanical Coupling Coefficient Acoustic Wave Resonators. 2020 IEEE/MTT-S International Microwave Symposium (IMS). :257–260.
This paper proposes a method to synthesis acoustic wave (AW) filters with Chebyshev response automatically. Meanwhile, each AW resonator used to design the filter can be easily fabricated on the same piezoelectric substrate. The method is based on an optimization algorithm with constraints for constant electromechanical coupling coefficient ( kt2) to minimize the defined cost function. Finally, the experimental result for a surface acoustic wave (SAW) filter of global positioning system (GPS) frequency band based on the 42° lithium tantalate (LiTaO3) substrate validates the simulation results. The designed filter shows insertion loss (IL) and return loss (RL) better than 2.5dB and 18dB respectively in the pass-band, and out-band reflection larger than 30dB.
Zamula, Alexander, Rassomakhin, Sergii, Krasnobayev, Victor, Morozov, Vladyslav.  2019.  Synthesis of Discrete Complex Nonlinear Signals with Necessary Properties of Correlation Functions. 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). :999–1002.
The main information and communication systems (ICS) effectiveness parameters are: reliability, resiliency, network bandwidth, service quality, profitability and cost, malware protection, information security, etc. Most modern ICS refers to multiuser systems, which implement the most promising method of distributing subscribers (users), namely, the code distribution, at which, subscribers are provided with appropriate forms of discrete sequences (signatures). Since in multiuser systems, channels code division is based on signal difference, then the ICS construction and systems performance indicators are determined by the chosen signals properties. Distributed spectrum technology is the promising direction of information security for telecommunication systems. Currently used data generation and processing methods, as well as the broadband signal classes used as a physical data carrier, are not enough for the necessary level of information security (information secrecy, imitation resistance) as well as noise immunity (impedance reception, structural secrecy) of the necessary (for some ICS applications). In this case, discrete sequences (DS) that are based on nonlinear construction rules and have improved correlation, ensemble and structural properties should be used as DS that extend the spectrum (manipulate carrier frequency). In particular, with the use of such signals as the physical carrier of information or synchronization signals, the time expenditures on the disclosure of the signal structure used are increasing and the setting of "optima", in terms of the counteracting station, obstacles becomes problematic. Complex signals obtained on such sequences basis have structural properties, similar to random (pseudorandom) sequences, as well as necessary correlation and ensemble properties. For designing signals for applications applied for measuring delay time, signal detecting, synchronizing stations and etc, side-lobe levels of autocorrelation function (ACF) minimization is essential. In this paper, the problem of optimizing the synthesis of nonlinear discrete sequences, which have improved ensemble, structural and autocorrelation properties, is formulated and solved. The use of nonlinear discrete signals, which are formed on the basis of such sequences, will provide necessary values for impedance protection, structural and information secrecy of ICS operation. Increased requirements for ICS information security, formation and performance data in terms of internal and external threats (influences), determine objectively existing technical and scientific controversy to be solved is goal of this work.The paper presents the results of solving the actual problem of performance indicators improvements for information and communication systems, in particular secrecy, information security and noise immunity with interfering influences, based on the nonlinear discrete cryptographic signals (CS) new classes synthesis with the necessary properties.
Bobda, C., Whitaker, T. J. L., Kamhoua, C., Kwiat, K., Njilla, L..  2017.  Synthesis of Hardware Sandboxes for Trojan Mitigation in Systems on Chip. 2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST). :172–172.

In this work, we propose a design flow for automatic generation of hardware sandboxes purposed for IP security in trusted system-on-chips (SoCs). Our tool CAPSL, the Component Authentication Process for Sandboxed Layouts, is capable of detecting trojan activation and nullifying possible damage to a system at run-time, avoiding complex pre-fabrication and pre-deployment testing for trojans. Our approach captures the behavioral properties of non-trusted IPs, typically from a third-party or components off the shelf (COTS), with the formalism of interface automata and the Property Specification Language's sequential extended regular expressions (SERE). Using the concept of hardware sandboxing, we translate the property specifications to checker automata and partition an untrusted sector of the system, with included virtualized resources and controllers, to isolate sandbox-system interactions upon deviation from the behavioral checkers. Our design flow is verified with benchmarks from Trust-Hub.org, which show 100% trojan detection with reduced checker overhead compared to other run-time verification techniques.

Kučera, Martin, Tsankov, Petar, Gehr, Timon, Guarnieri, Marco, Vechev, Martin.  2017.  Synthesis of Probabilistic Privacy Enforcement. Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. :391–408.

Existing probabilistic privacy enforcement approaches permit the execution of a program that processes sensitive data only if the information it leaks is within the bounds specified by a given policy. Thus, to extract any information, users must manually design a program that satisfies the policy. In this work, we present a novel synthesis approach that automatically transforms a program into one that complies with a given policy. Our approach consists of two ingredients. First, we phrase the problem of determining the amount of leaked information as Bayesian inference, which enables us to leverage existing probabilistic programming engines. Second, we present two synthesis procedures that add uncertainty to the program's outputs as a way of reducing the amount of leaked information: an optimal one based on SMT solving and a greedy one with quadratic running time. We implemented and evaluated our approach on 10 representative programs from multiple application domains. We show that our system can successfully synthesize a permissive enforcement mechanism for all examples.

Lin, Liyong, Thuijsman, Sander, Zhu, Yuting, Ware, Simon, Su, Rong, Reniers, Michel.  2019.  Synthesis of Supremal Successful Normal Actuator Attackers on Normal Supervisors. 2019 American Control Conference (ACC). :5614–5619.
In this paper, we propose and develop an actuator attack model for discrete-event systems. We assume the actuator attacker partially observes the execution of the closed-loop system and eavesdrops the control commands issued by the supervisor. The attacker can modify each control command on a specified subset of attackable events. The goal of the actuator attacker is to remain covert until it can establish a successful attack and lead the attacked closed-loop system into generating certain damaging strings. We then present a characterization for the existence of a successful attacker and prove the existence of the supremal successful attacker, when both the supervisor and the attacker are normal. Finally, we present an algorithm to synthesize the supremal successful normal attackers.
Sarochar, J., Acharya, I., Riggs, H., Sundararajan, A., Wei, L., Olowu, T., Sarwat, A. I..  2019.  Synthesizing Energy Consumption Data Using a Mixture Density Network Integrated with Long Short Term Memory. 2019 IEEE Green Technologies Conference(GreenTech). :1—4.
Smart cities comprise multiple critical infrastructures, two of which are the power grid and communication networks, backed by centralized data analytics and storage. To effectively model the interdependencies between these infrastructures and enable a greater understanding of how communities respond to and impact them, large amounts of varied, real-world data on residential and commercial consumer energy consumption, load patterns, and associated human behavioral impacts are required. The dissemination of such data to the research communities is, however, largely restricted because of security and privacy concerns. This paper creates an opportunity for the development and dissemination of synthetic energy consumption data which is inherently anonymous but holds similarities to the properties of real data. This paper explores a framework using mixture density network (MDN) model integrated with a multi-layered Long Short-Term Memory (LSTM) network which shows promise in this area of research. The model is trained using an initial sample recorded from residential smart meters in the state of Florida, and is used to generate fully synthetic energy consumption data. The synthesized data will be made publicly available for interested users.
Sunny, S., Pavithran, V., Achuthan, K..  2014.  Synthesizing perception based on analysis of cyber attack environments. Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on. :2027-2030.

Analysing cyber attack environments yield tremendous insight into adversory behavior, their strategy and capabilities. Designing cyber intensive games that promote offensive and defensive activities to capture or protect assets assist in the understanding of cyber situational awareness. There exists tangible metrics to characterizing games such as CTFs to resolve the intensity and aggression of a cyber attack. This paper synthesizes the characteristics of InCTF (India CTF) and provides an understanding of the types of vulnerabilities that have the potential to cause significant damage by trained hackers. The two metrics i.e. toxicity and effectiveness and its relation to the final performance of each team is detailed in this context.
 

Lu, W., Shu, S., Shi, H., Li, R., Dong, W..  2020.  Synthesizing Secure Reactive Controller for Unmanned Aerial System. 2019 6th International Conference on Dependable Systems and Their Applications (DSA). :419—424.

Complex CPS such as UAS got rapid development these years, but also became vulnerable to GPS spoofing, packets injection, buffer-overflow and other malicious attacks. Ensuring the behaviors of UAS always keeping secure no matter how the environment changes, would be a prospective direction for UAS security. This paper aims at presenting a reactive synthesis-based approach to implement the automatic generation of secure UAS controller. First, we study the operating mechanism of UAS and construct a high-Ievel model consisting of actuator and monitor. Besides, we analyze the security threats of UAS from the perspective of hardware, software and data transmission, and then extract the corresponding specifications of security properties with LTL formulas. Based on the UAS model and security specifications, the controller can be constructed by GR(1) synthesis algorithm, which is a two-player game process between UAV and Environment. Finally, we expand the function of LTLMoP platform to construct the automatons for controller in multi-robots system, which provides secure behavior strategies under several typical UAS attack scenarios.

[Anonymous].  2019.  Synthesizing Stealthy Reprogramming Attacks on Cardiac Devices. IEEE/ACM International Conference on Cyber-Physical Systems (ICCPS 2019).

An Implantable Cardioverter Defibrillator (ICD) is a medical device used for the detection of potentially fatal cardiac arrhythmias and their treatment through the delivery of electrical shocks intended to restore normal heart rhythm. An ICDreprogrammingattackseeks to alter the device’s parameters to induce unnecessary therapy or prevent required therapy. In this paper, we present a formal approach for the synthesis of ICD reprogramming attacks that are both effective, i.e., lead to fundamental changes in the required therapy, and stealthy, i.e., are hard to detect. We focus on the discrimination algorithm underlying Boston Scientific devices (one of the principal ICD manufacturers) and formulate the synthesis problem as one of multi-objective optimization. Our solution technique is based on an Optimization Modulo Theories encoding of the problem and allows us to derive device parameters that are optimal with respect to the effectiveness-stealthiness tradeoff. Our method can be tailored to the patient’s current condition, and readily generalizes to new rhythms. To the best of our knowledge, our work is the first to derive systematic ICD reprogramming attacks designed to maximize therapy disruption while minimizing detection.

Cho, G., Huh, J. H., Cho, J., Oh, S., Song, Y., Kim, H..  2017.  SysPal: System-Guided Pattern Locks for Android. 2017 IEEE Symposium on Security and Privacy (SP). :338–356.

To improve the security of user-chosen Android screen lock patterns, we propose a novel system-guided pattern lock scheme called "SysPal" that mandates the use of a small number of randomly selected points while selecting a pattern. Users are given the freedom to use those mandated points at any position. We conducted a large-scale online study with 1,717 participants to evaluate the security and usability of three SysPal policies, varying the number of mandatory points that must be used (upon selecting a pattern) from one to three. Our results suggest that the two SysPal policies that mandate the use of one and two points can help users select significantly more secure patterns compared to the current Android policy: 22.58% and 23.19% fewer patterns were cracked. Those two SysPal policies, however, did not show any statistically significant inferiority in pattern recall success rate (the percentage of participants who correctly recalled their pattern after 24 hours). In our lab study, we asked participants to install our screen unlock application on their own Android device, and observed their real-life phone unlock behaviors for a day. Again, our lab study did not show any statistically significant difference in memorability for those two SysPal policies compared to the current Android policy.

Viglianisi, Gabriele, Carminati, Michele, Polino, Mario, Continella, Andrea, Zanero, Stefano.  2018.  SysTaint: Assisting Reversing of Malicious Network Communications. Proceedings of the 8th Software Security, Protection, and Reverse Engineering Workshop. :4:1–4:12.

The ever-increasing number of malware samples demands for automated tools that aid the analysts in the reverse engineering of complex malicious binaries. Frequently, malware communicates over an encrypted channel with external network resources under the control of malicious actors, such as Command and Control servers that control the botnet of infected machines. Hence, a key aspect in malware analysis is uncovering and understanding the semantics of network communications. In this paper we present SysTaint, a semi-automated tool that runs malware samples in a controlled environment and analyzes their execution to support the analyst in identifying the functions involved in the communication and the exchanged data. Our evaluation on four banking Trojan samples from different families shows that SysTaint is able to handle and inspect encrypted network communications, obtaining useful information on the data being sent and received, on how each sample processes this data, and on the inner portions of code that deal with the data processing.

Pasyeka, Mykola, Sheketa, Vasyl, Pasieka, Nadiia, Chupakhina, Svitlana, Dronyuk, Ivanna.  2019.  System Analysis of Caching Requests on Network Computing Nodes. 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT). :216–222.

A systematic study of technologies and concepts used for the design and construction of distributed fail-safe web systems has been conducted. The general principles of the design of distributed web-systems and information technologies that are used in the design of web-systems are considered. As a result of scientific research, it became clear that data backup is a determining attribute of most web systems serving. Thus, the main role in building modern web systems is to scaling them. Scaling in distributed systems is used when performing a particular operation requires a large amount of computing resources. There are two scaling options, namely vertical and horizontal. Vertical scaling is to increase the performance of existing components in order to increase overall productivity. However, for the construction of distributed systems, use horizontal scaling. Horizontal scaling is that the system is split into small components and placed on various physical computers. This approach allows the addition of new nodes to increase the productivity of the web system as a whole.

Sagisi, J., Tront, J., Marchany, R..  2017.  System architectural design of a hardware engine for moving target IPv6 defense over IEEE 802.3 Ethernet. MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM). :551–556.

The Department of Homeland Security Cyber Security Division (CSD) chose Moving Target Defense as one of the fourteen primary Technical Topic Areas pertinent to securing federal networks and the larger Internet. Moving Target Defense over IPv6 (MT6D) employs an obscuration technique offering keyed access to hosts at a network level without altering existing network infrastructure. This is accomplished through cryptographic dynamic addressing, whereby a new network address is bound to an interface every few seconds in a coordinated manner. The goal of this research is to produce a Register Transfer Level (RTL) network security processor implementation to enable the production of an Application Specific Integrated Circuit (ASIC) variant of MT6D processor for wide deployment. RTL development is challenging in that it must provide system level functions that are normally provided by the Operating System's kernel and supported libraries. This paper presents the architectural design of a hardware engine for MT6D (HE-MT6D) and is complete in simulation. Unique contributions are an inline stream-based network packet processor with a Complex Instruction Set Computer (CISC) architecture, Network Time Protocol listener, and theoretical increased performance over previous software implementations.

Khazankin, G. R., Komarov, S., Kovalev, D., Barsegyan, A., Likhachev, A..  2017.  System architecture for deep packet inspection in high-speed networks. 2017 Siberian Symposium on Data Science and Engineering (SSDSE). :27–32.

To solve the problems associated with large data volume real-time processing, heterogeneous systems using various computing devices are increasingly used. The characteristic of solving this class of problems is related to the fact that there are two directions for improving methods of real-time data analysis: the first is the development of algorithms and approaches to analysis, and the second is the development of hardware and software. This article reviews the main approaches to the architecture of a hardware-software solution for traffic capture and deep packet inspection (DPI) in data transmission networks with a bandwidth of 80 Gbit/s and higher. At the moment there are software and hardware tools that allow designing the architecture of capture system and deep packet inspection: 1) Using only the central processing unit (CPU); 2) Using only the graphics processing unit (GPU); 3) Using the central processing unit and graphics processing unit simultaneously (CPU + GPU). In this paper, we consider these key approaches. Also attention is paid to both hardware and software requirements for the architecture of solutions. Pain points and remedies are described.

Sadique, Farhan, Bakhshaliyev, Khalid, Springer, Jeff, Sengupta, Shamik.  2019.  A System Architecture of Cybersecurity Information Exchange with Privacy (CYBEX-P). 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). :0493—0498.
Rapid evolution of cyber threats and recent trends in the increasing number of cyber-attacks call for adopting robust and agile cybersecurity techniques. Cybersecurity information sharing is expected to play an effective role in detecting and defending against new attacks. However, reservations and or-ganizational policies centering the privacy of shared data have become major setbacks in large-scale collaboration in cyber defense. The situation is worsened by the fact that the benefits of cyber-information exchange are not realized unless many actors participate. In this paper, we argue that privacy preservation of shared threat data will motivate entities to share threat data. Accordingly, we propose a framework called CYBersecurity information EXchange with Privacy (CYBEX-P) to achieve this. CYBEX-P is a structured information sharing platform with integrating privacy-preserving mechanisms. We propose a complete system architecture for CYBEX-P that guarantees maximum security and privacy of data. CYBEX-P outlines the details of a cybersecurity information sharing platform. The adoption of blind processing, privacy preservation, and trusted computing paradigms make CYBEX-P a versatile and secure information exchange platform.
Xiong, Xinli, Zhao, Guangsheng, Wang, Xian.  2018.  A System Attack Surface Based MTD Effectiveness and Cost Quantification Framework. Proceedings of the 2Nd International Conference on Cryptography, Security and Privacy. :175-179.

Moving Target Defense (MTD) is a game-changing method to thwart adversaries and reverses the imbalance situation in network countermeasures. Introducing Attack Surface (AS) into MTD security assessment brings productive concepts to qualitative and quantitative analysis. The quantification of MTD effectiveness and cost (E&C) has been under researched, using simulation models and emulation testbeds, to give accurate and reliable results for MTD technologies. However, the lack of system-view evaluation impedes MTD to move toward large-scale applications. In this paper, a System Attack Surface Based Quantification Framework (SASQF) is proposed to establish a system-view based framework for further research in Attack Surface and MTD E&C quantification. And a simulated model based on SASQF is developed to provide illustrations and software simulation methods. A typical C/S scenario and Cyber Kill Chain (CKC) attacks are presented in case study and several simulated results are given. From the simulated results, IP mutation frequency is the key to increase consumptions of adversaries, while the IP mutation pool is not the principal factor to thwart adversaries in reconnaissance and delivery of CKC steps. For system user operational cost, IP mutation frequency influence legitimate connections in relative values under ideal link state without delay, packet lose and jitter. The simulated model based on SASQF also provides a basic method to find the optimal IP mutation frequency through simulations.

Pawar, Shwetambari, Jain, Nilakshi, Deshpande, Swati.  2016.  System Attribute Measures of Network Security Analyzer. Proceedings of the ACM Symposium on Women in Research 2016. :51–54.

In this paper, we have mentioned a method to find the performance of projectwhich detects various web - attacks. The project is capable to identifying and preventing attacks like SQL Injection, Cross – Site Scripting, URL rewriting, Web server 400 error code etc. The performance of system is detected using the system attributes that are mentioned in this paper. This is also used to determine efficiency of the system.

Qiu, Tongsheng, Wang, Xianyi, Tian, Yusen, Du, Qifei, Sun, Yueqiang.  2019.  A System Design of Real-Time Narrowband Rfi Detection And Mitigation for Gnss-R Receiver. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. :5167–5170.

With the rapid development of radio detection and wireless communication, narrowband radio-frequency interference (NB-RFI) is a serious threat for GNSS-R (global navigation satellite systems - reflectometry) receivers. However, interferometric GNSS-R (iGNSS-R) is more prone to the NB-RFIs than conventional GNSS-R (cGNSS-R), due to wider bandwidth and unclean replica. Therefore, there is strong demand of detecting and mitigating NB-RFIs for GNSS-R receivers, especially iGNSS-R receivers. Hence, focusing on working with high sampling rate and simplifying the fixed-point implementation on FPGA, this paper proposes a system design exploiting cascading IIR band-stop filters (BSFs) to suppress NB-RFIs. Furthermore, IIR BSF compared with IIR notch filter (NF) and IIR band-pass filter (BPF) is the merely choice that is able to mitigate both white narrowband interference (WNBI) and continuous wave interference (CWI) well. Finally, validation and evaluation are conducted, and then it is indicated that the system design can detect NB-RFIs and suppress WNBI and CWI effectively, which improves the signal-to-noise ratio (SNR) of the Delay-Doppler map (DDM).

Nguyen-Van, Thanh, Le, Tien-Dat, Nguyen-Anh, Tuan, Nguyen-Ho, Minh-Phuoc, Nguyen-Van, Tuong, Le-Tran, Minh-Quoc, Le, Quang Nhat, Pham, Harry, Nguyen-An, Khuong.  2019.  A System for Scalable Decentralized Random Number Generation. 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). :100–103.

Generating public randomness has been significantly demanding and also challenging, especially after the introduction of the Blockchain Technology. Lotteries, smart contracts, and random audits are examples where the reliability of the randomness source is a vital factor. We demonstrate a system of random number generation service for generating fair, tamper-resistant, and verifiable random numbers. Our protocol together with this system is an R&D project aiming at providing a decentralized solution to random number generation by leveraging the blockchain technology along with long-lasting cryptographic primitives including homomorphic encryption, verifiable random functions. The system decentralizes the process of generating random numbers by combining each party's favored value to obtain the final random numbers. Our novel idea is to force each party to encrypt his contribution before making it public. With the help of homomorphic encryption, all encrypted contribution can be combined without performing any decryption. The solution has achieved the properties of unpredictability, tamper-resistance, and public-verifiability. In addition, it only offers a linear overall complexity with respect to the number of parties on the network, which permits great scalability.