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Wang, Pengfei, Wang, Fengyu, Lin, Fengbo, Cao, Zhenzhong.  2018.  Identifying Peer-to-Peer Botnets Through Periodicity Behavior Analysis. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). :283-288.

Peer-to-Peer botnets have become one of the significant threat against network security due to their distributed properties. The decentralized nature makes their detection challenging. It is important to take measures to detect bots as soon as possible to minimize their harm. In this paper, we propose PeerGrep, a novel system capable of identifying P2P bots. PeerGrep starts from identifying hosts that are likely engaged in P2P communications, and then distinguishes P2P bots from P2P hosts by analyzing their active ratio, packet size and the periodicity of connection to destination IP addresses. The evaluation shows that PeerGrep can identify all P2P bots with quite low FPR even if the malicious P2P application and benign P2P application coexist within the same host or there is only one bot in the monitored network.

Sathiyamurthi, P, Ramakrishnan, S, Shobika, S, Subashri, N, Prakavi, M.  2018.  Speech and Audio Cryptography System using Chaotic Mapping and Modified Euler's System. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). :606–611.
Security often requires that the data must be kept safe from unauthorized access. And the best line of speech communication is security. However, most computers are interconnected with each other openly, thereby exposing them and the communication channels that person uses. Speech cryptography secures information by protecting its confidentiality. It can also be used to protect information about the integrity and authenticity of data. Stronger cryptographic techniques are needed to ensure the integrity of data stored on a machine that may be infected or under attack. So far speech cryptography is used in many forms but using it with Audio file is another stronger technique. The process of cryptography happens with audio file for transferring more secure sensitive data. The audio file is encrypted and decrypted by using Lorenz 3D mapping and then 3D mapping function is converted into 2D mapping function by using euler's numerical resolution and strong algorithm provided by using henon mapping and then decrypted by using reverse of encryption. By implementing this, the resultant audio file will be in secured form.
Arpitha, R, Chaithra, B R, Padma, Usha.  2019.  Performance Analysis of Channel Coding Techniques for Cooperative Adhoc Network. 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). :752–756.
-In wireless networks, Cooperative communication can be used to increase the strength of the communication by means of spatial diversity. Basic idea that exists behind Cooperative communication is, if the transmission from source to destination is not successful, a helping node called relay can be used to send the same information to the destination through independent paths. In order to improve the performance of such communication, channel coding techniques can be used which reduces the Bit Error Rate. Previous works on cooperative communication only concentrated on improving channel capacity through cooperation. Hence this paper presents different Channel coding methods such as Turbo coding, Convolutional coding, and low-density parity-check coding over Rayleigh fading channels in the presence of Additive white Gaussian noise. Performance of these Channel coding techniques are measured in terms of noise power spectral density (NO ) vs. Bit error rate.
Mahale, Anusha, B.S., Kariyappa.  2019.  Architecture Analysis and Verification of I3C Protocol. 2019 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA). :930-935.

In VLSI industry the design cycle is categorized into Front End Design and Back End Design. Front End Design flow is from Specifications to functional verification of RTL design. Back End Design is from logic synthesis to fabrication of chip. Handheld devices like Mobile SOC's is an amalgamation of many components like GPU, camera, sensor, display etc. on one single chip. In order to integrate these components protocols are needed. One such protocol in the emerging trend is I3C protocol. I3C is abbreviated as Improved Inter Integrated Circuit developed by Mobile Industry Processor Interface (MIPI) alliance. Most probably used for the interconnection of sensors in Mobile SOC's. The main motivation of adapting the standard is for the increase speed and low pin count in most of the hardware chips. The bus protocol is backward compatible with I2C devices. The paper includes detailed study I3C bus protocol and developing verification environment for the protocol. The test bench environment is written and verified using system Verilog and UVM. The Universal Verification Methodology (UVM) is base class library built using System Verilog which provides the fundamental blocks needed to quickly develop reusable and well-constructed verification components and test environments. The Functional Coverage of around 93.55 % and Code Coverage of around 98.89 % is achieved by verification closure.

E.V., Jaideep Varier, V., Prabakar, Balamurugan, Karthigha.  2019.  Design of Generic Verification Procedure for IIC Protocol in UVM. 2019 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA). :1146-1150.

With the growth of technology, designs became more complex and may contain bugs. This makes verification an indispensable part in product development. UVM describe a standard method for verification of designs which is reusable and portable. This paper verifies IIC bus protocol using Universal Verification Methodology. IIC controller is designed in Verilog using Vivado. It have APB interface and its function and code coverage is carried out in Mentor graphic Questasim 10.4e. This work achieved 83.87% code coverage and 91.11% functional coverage.

Vegda, Hiral, Modi, Nimesh.  2018.  Secure and Efficient Approach to Prevent Ad Hoc Network Attacks Using Intrusion Detection System. 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). :129-133.

In Ad hoc networks the main purpose is communication without infrastructure and there are many implementations already done on that. There is little effort done for security to prevent threats in ad hoc networks (like MANETs). It is already proven that; there is no any centralized mechanism for defence against threats, such as a firewall, an intrusion detection system, or a proxy in ad hoc networks. Ad hoc networks are very convenient due to its features like self-maintenance, self-organizing and providing wireless communication. In Ad hoc networks there is no fixed infrastructure in which every node works like simply a router which stores and forwards packet to final destination. Due to these dynamic topology features, Ad hoc networks are anywhere, anytime. Therefore, it is necessary to make a secure mechanism for the ad hoc components so that with flexibility they have that security also. This paper shows the secure and flexible implementation about to protect any ad hoc networks. This proposed system design is perfect solution to provide security with flexibility by providing a hybrid system which combines ECC and MAES to detect and prevent Ad hoc network attacks using Intrusion detection system. The complete proposed system designed on NS 2.35 software using Ubuntu (Linux) OS.

Huang, Jingwei.  2018.  From Big Data to Knowledge: Issues of Provenance, Trust, and Scientific Computing Integrity. 2018 IEEE International Conference on Big Data (Big Data). :2197–2205.
This paper addresses the nature of data and knowledge, the relation between them, the variety of views as a characteristic of Big Data regarding that data may come from many different sources/views from different viewpoints, and the associated essential issues of data provenance, knowledge provenance, scientific computing integrity, and trust in the data science process. Towards the direction of data-intensive science and engineering, it is of paramount importance to ensure Scientific Computing Integrity (SCI). A failure of SCI may be caused by malicious attacks, natural environmental changes, faults of scientists, operations mistakes, faults of supporting systems, faults of processes, and errors in the data or theories on which a research relies. The complexity of scientific workflows and large provenance graphs as well as various causes for SCI failures make ensuring SCI extremely difficult. Provenance and trust play critical role in evaluating SCI. This paper reports our progress in building a model for provenance-based trust reasoning about SCI.
Toradmalle, D., Singh, R., Shastri, H., Naik, N., Panchidi, V..  2018.  Prominence Of ECDSA Over RSA Digital Signature Algorithm. 2018 2nd International Conference on 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). :253–257.

Digital signatures are replacing paper-based work to make life easier for customers and employees in various industries. We rigorously use RSA and Elliptic Curve Cryptography (ECC) for public key cryptographic algorithms. Nowadays ECDSA (Elliptical Curve Digital Signature Algorithm) gaining more popularity than the RSA algorithm because of the better performance of ECDSA over RSA. The main advantage of ECC over RSA is ECC provides the same level of security with less key size and overhead than RSA. This paper focuses on a brief review of the performance of ECDSA and RSA in various aspects like time, security and power. This review tells us about why ECC has become the latest trend in the present cryptographic scenario.

Qi, L. T., Huang, H. P., Wang, P., Wang, R. C..  2018.  Abnormal Item Detection Based on Time Window Merging for Recommender Systems. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). :252–259.

CFRS (Collaborative Filtering Recommendation System) is one of the most widely used individualized recommendation systems. However, CFRS is susceptible to shilling attacks based on profile injection. The current research on shilling attack mainly focuses on the recognition of false user profiles, but these methods depend on the specific attack models and the computational cost is huge. From the view of item, some abnormal item detection methods are proposed which are independent of attack models and overcome the defects of user profiles model, but its detection rate, false alarm rate and time overhead need to be further improved. In order to solve these problems, it proposes an abnormal item detection method based on time window merging. This method first uses the small window to partition rating time series, and determine whether the window is suspicious in terms of the number of abnormal ratings within it. Then, the suspicious small windows are merged to form suspicious intervals. We use the rating distribution characteristics RAR (Ratio of Abnormal Rating), ATIAR (Average Time Interval of Abnormal Rating), DAR(Deviation of Abnormal Rating) and DTIAR (Deviation of Time Interval of Abnormal Rating) in the suspicious intervals to determine whether the item is subject to attacks. Experiment results on the MovieLens 100K data set show that the method has a high detection rate and a low false alarm rate.

Guo, Y., Chen, L., Shi, G..  2018.  Function-Oriented Programming: A New Class of Code Reuse Attack in C Applications. 2018 IEEE Conference on Communications and Network Security (CNS). :1–9.
Control-hijacking attacks include code injection attacks and code reuse attacks. In recent years, with the emergence of the defense mechanism data-execution prevention(DEP), code reuse attacks have become mainstream, such as return-oriented programming(ROP), Jump-Oriented Programming(JOP), and Counterfeit Object-oriented Programming(COOP). And a series of defensive measures have been proposed, such as DEP, address space layout randomization (ASLR), coarse-grained Control-Flow Integrity(CFI) and fine-grained CFI. In this paper, we propose a new attack called function-oriented programming(FOP) to construct malicious program behavior. FOP takes advantage of the existing function of the C program to induce attack. We propose concrete algorithms for FOP gadgets and build a tool to identify FOP gadgets. FOP can successfully bypass coarse-grained CFI, and FOP also can bypass some existing fine-grained CFI technologies, such as shadow stack technology. We show a real-world attack for proftpd1.3.0 server in the Linux x64 environment. We believe that the FOP attack will encourage people to come up with more effective defense measures.
Pant, S., Kumar, V..  2018.  BitTrusty: A BitCoin Incentivized Peer-to-Peer File Sharing System. 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS). :148-155.
Among the various challenges faced by the P2P file sharing systems like BitTorrent, the most common attack on the basic foundation of such systems is: Free-riding. Generally, free-riders are the users in the file sharing network who avoid contributing any resources but tend to consume the resources unethically from the P2P network whereas white-washers are more specific category of free-riders that voluntarily leave the system in a frequent fashion and appearing again and again with different identities to escape from the penal actions imposed by the network. BitTorrent being a collaborative distributed platform requires techniques for discouraging and punishing such user behavior. In this paper, we propose that ``Instead of punishing, we may focus more on rewarding the honest peers''. This approach could be presented as an alternative to other mechanisms of rewarding the peers like tit-for-tat [10], reciprocity based etc., built for the BitTorrent platform. The prime objective of BitTrusty is: providing incentives to the cooperative peers by rewarding in terms of cryptocoins based on blockchain. We have anticipated three ways of achieving the above defined objective. We are further investigating on how to integrate these two technologies of distributed systems viz. P2P file sharing systems and blockchain, and with this new paradigm, interesting research areas can be further developed, both in the field of P2P cryptocurrency networks and also when these networks are combined with other distributed scenarios.
Pfeffer, T., Herber, P., Druschke, L., Glesner, S..  2018.  Efficient and Safe Control Flow Recovery Using a Restricted Intermediate Language. 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). :235-240.

Approaches for the automatic analysis of security policies on source code level cannot trivially be applied to binaries. This is due to the lacking high-level semantics of low-level object code, and the fundamental problem that control-flow recovery from binaries is difficult. We present a novel approach to recover the control-flow of binaries that is both safe and efficient. The key idea of our approach is to use the information contained in security mechanisms to approximate the targets of computed branches. To achieve this, we first define a restricted control transition intermediate language (RCTIL), which restricts the number of possible targets for each branch to a finite number of given targets. Based on this intermediate language, we demonstrate how a safe model of the control flow can be recovered without data-flow analyses. Our evaluation shows that that makes our solution more efficient than existing solutions.

Tonane, P., Deshpande, S..  2018.  Trust Based Certificate Revocation and Attacks in MANETs. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). :1089-1093.

Due to the changing nature of Mobile Ad-Hoc Network (MANET) security is an important concern and hence in this paper, we carryout vector-based trust mechanism, which is established on the behavior of nodes in forwarding and dropping the data packets determines the trust on each node and we are using the Enhanced Certificate Revocation scheme (ECR), which avoid the attacker by blacklisting the blackhole attacker. To enhance more security for node and network, we assign a unique key for every individual node which can avoid most of the attacks in MANET

Dholey, M. K., Saha, M. K..  2018.  A Security Mechanism in DSR Routing for MANET. 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). :921-925.

Mobile Ad-hoc Network (MANET) is an autonomous collection of mobile nodes and communicate among them in their radio range. It is an infrastructure less, bandwidth constraint multi-hop wireless network. A various routing protocol is being evolved for MANET routing and also provide security mechanism to avoid security threads. Dynamic Source Routing (DSR), one of the popular reactive routing protocols for MANET, establishes path between source to destination before data communication take place using route request (RREQ) and route reply (RREP) control messages. Although in [1] authors propose to prevent route diversion due to a malicious node in the network using group Diffie-Hellman (GDH) key management applied over source address, but if any intermediate trusted node start to misbehave then there is no prevention mechanism. Here in this paper, we applied Hash function scheme over destination address to identify the misbehaving intermediate node that can provide wrong destination address. The path information towards the destination sent by the intermediate node through RREP is exactly for the intended required destination or not, here we can identified according to our proposed algorithm and pretend for further data transmission. Our proposed algorithm proves the authenticity of the destination and also prevent from misbehaving intermediate nodes.

Liu, T., Wen, Y..  2018.  Studied on Application of Double Encryption Algorithm in Covert Channel Transmission. 2018 International Conference on Intelligent Transportation, Big Data Smart City (ICITBS). :210-213.
In the process of mobile intelligent terminal for file transfer, ensure the safety of data transmission is significant. It is necessary to prevent the file from being eavesdropped and tampered during transmission. The method of using double encryption on covert channel is proposed in this paper based on the analysis of encryption algorithms and covert channel, which uses asymmetric encryption algorithm to encrypt the key of symmetric encryption, to form hidden information, and to carry out covert transmission through covert channels to enhance the security of mobile terminal data transmission. By simulating the above scenarios in intelligent mobile terminal, the confidentiality and concealment of important information are realized in the transmission process.
Gries, S., Hesenius, M., Gruhn, V..  2018.  Embedding Non-Compliant Nodes into the Information Flow Monitor by Dependency Modeling. 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). :1541-1542.

Observing semantic dependencies in large and heterogeneous networks is a critical task, since it is quite difficult to find the actual source of a malfunction in the case of an error. Dependencies might exist between many network nodes and among multiple hops in paths. If those dependency structures are unknown, debugging errors gets quite difficult. Since CPS and other large networks change at runtime and consists of custom software and hardware, as well as components off-the-shelf, it is necessary to be able to not only include own components in approaches to detect dependencies between nodes. In this paper we present an extension to the Information Flow Monitor approach. Our goal is that this approach should be able to handle unalterable blackbox nodes. This is quite challenging, since the IFM originally requires each network node to be compliant with the IFM protocol.

Vaidya, S. P..  2018.  Multipurpose Color Image Watermarking in Wavelet Domain Using Multiple Decomposition Techniques. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). :251-255.

A multipurpose color image watermarking method is presented to provide \textcopyright protection and ownership verification of the multimedia information. For robust color image watermarking, color watermark is utilized to bring universality and immense applicability to the proposed scheme. The cover information is first converted to Red, Green and Blue components image. Each component is transformed in wavelet domain using DWT (Discrete Wavelet Transform) and then decomposition techniques like Singular Value Decomposition (SVD), QR and Schur decomposition are applied. Multiple watermark embedding provides the watermarking scheme free from error (false positive). The watermark is modified by scrambling it using Arnold transform. In the proposed watermarking scheme, robustness and quality is tested with metrics like Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC). Further, the proposed scheme is compared with related watermarking schemes.

Tao, Y., Lei, Z., Ruxiang, P..  2018.  Fine-Grained Big Data Security Method Based on Zero Trust Model. 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). :1040-1045.

With the rapid development of big data technology, the requirement of data processing capacity and efficiency result in failure of a number of legacy security technologies, especially in the data security domain. Data security risks became extremely important for big data usage. We introduced a novel method to preform big data security control, which comprises three steps, namely, user context recognition based on zero trust, fine-grained data access authentication control, and data access audit based on full network traffic to recognize and intercept risky data access in big data environment. Experiments conducted on the fine-grained big data security method based on the zero trust model of drug-related information analysis system demonstrated that this method can identify the majority of data security risks.

Ghugar, U., Pradhan, J..  2018.  NL-IDS: Trust Based Intrusion Detection System for Network Layer in Wireless Sensor Networks. 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC). :512-516.

From the last few years, security in wireless sensor network (WSN) is essential because WSN application uses important information sharing between the nodes. There are large number of issues raised related to security due to open deployment of network. The attackers disturb the security system by attacking the different protocol layers in WSN. The standard AODV routing protocol faces security issues when the route discovery process takes place. The data should be transmitted in a secure path to the destination. Therefore, to support the process we have proposed a trust based intrusion detection system (NL-IDS) for network layer in WSN to detect the Black hole attackers in the network. The sensor node trust is calculated as per the deviation of key factor at the network layer based on the Black hole attack. We use the watchdog technique where a sensor node continuously monitors the neighbor node by calculating a periodic trust value. Finally, the overall trust value of the sensor node is evaluated by the gathered values of trust metrics of the network layer (past and previous trust values). This NL-IDS scheme is efficient to identify the malicious node with respect to Black hole attack at the network layer. To analyze the performance of NL-IDS, we have simulated the model in MATLAB R2015a, and the result shows that NL-IDS is better than Wang et al. [11] as compare of detection accuracy and false alarm rate.

He, X., Zhang, Q., Han, Z..  2018.  The Hamiltonian of Data Center Network BCCC. 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). :147–150.

With the development of cloud computing the topology properties of data center network are important to the computing resources. Recently a data center network structure - BCCC is proposed, which is recursively built structure with many good properties. and expandability. The Hamiltonian and expandability in data center network structure plays an extremely important role in network communication. This paper described the Hamiltonian and expandability of the expandable data center network for BCCC structure, the important role of Hamiltonian and expandability in network traffic.

Carrasco, A., Ropero, J., Clavijo, P. Ruiz de, Benjumea, J., Luque, A..  2018.  A Proposal for a New Way of Classifying Network Security Metrics: Study of the Information Collected through a Honeypot. 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). :633–634.

Nowadays, honeypots are a key tool to attract attackers and study their activity. They help us in the tasks of evaluating attacker's behaviour, discovering new types of attacks, and collecting information and statistics associated with them. However, the gathered data cannot be directly interpreted, but must be analyzed to obtain useful information. In this paper, we present a SSH honeypot-based system designed to simulate a vulnerable server. Thus, we propose an approach for the classification of metrics from the data collected by the honeypot along 19 months.

Kumar, S., Gaur, N., Kumar, A..  2018.  Developing a Secure Cyber Ecosystem for SCADA Architecture. 2018 Second International Conference on Computing Methodologies and Communication (ICCMC). :559–562.

Advent of Cyber has converted the entire World into a Global village. But, due to vurneabilites in SCADA architecture [1] national assests are more prone to cyber attacks.. Cyber invasions have a catastrophic effect in the minds of the civilian population, in terms of states security system. A robust cyber security is need of the hour to protect the critical information infastructrue & critical infrastructure of a country. Here, in this paper we scrutinize cyber terrorism, vurneabilites in SCADA network systems [1], [2] and concept of cyber resilience to combat cyber attacks.

You, Y., Li, Z., Oechtering, T. J..  2018.  Optimal Privacy-Enhancing And Cost-Efficient Energy Management Strategies For Smart Grid Consumers. 2018 IEEE Statistical Signal Processing Workshop (SSP). :826–830.

The design of optimal energy management strategies that trade-off consumers' privacy and expected energy cost by using an energy storage is studied. The Kullback-Leibler divergence rate is used to assess the privacy risk of the unauthorized testing on consumers' behavior. We further show how this design problem can be formulated as a belief state Markov decision process problem so that standard tools of the Markov decision process framework can be utilized, and the optimal solution can be obtained by using Bellman dynamic programming. Finally, we illustrate the privacy-enhancement and cost-saving by numerical examples.

Udayakumar, N., Saglani, V. J., Cupta, A. V., Subbulakshmi, T..  2018.  Malware Classification Using Machine Learning Algorithms. 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). :1-9.

Lately, we are facing the Malware crisis due to various types of malware or malicious programs or scripts available in the huge virtual world - the Internet. But, what is malware? Malware can be a malicious software or a program or a script which can be harmful to the user's computer. These malicious programs can perform a variety of functions, including stealing, encrypting or deleting sensitive data, altering or hijacking core computing functions and monitoring users' computer activity without their permission. There are various entry points for these programs and scripts in the user environment, but only one way to remove them is to find them and kick them out of the system which isn't an easy job as these small piece of script or code can be anywhere in the user system. This paper involves the understanding of different types of malware and how we will use Machine Learning to detect these malwares.

Ghonge, M. M., Jawandhiya, P. M., Thakare, V. M..  2018.  Reputation and trust based selfish node detection system in MANETs. 2018 2nd International Conference on Inventive Systems and Control (ICISC). :661–667.

With the progress over technology, it is becoming viable to set up mobile ad hoc networks for non-military services as like well. Examples consist of networks of cars, law about communication facilities into faraway areas, and exploiting the solidity between urban areas about present nodes such as cellular telephones according to offload or otherwise keep away from using base stations. In such networks, there is no strong motive according to assume as the nodes cooperate. Some nodes may also be disruptive and partial may additionally attempt according to save sources (e.g. battery power, memory, CPU cycles) through “selfish” behavior. The proposed method focuses on the robustness of packet forwarding: keeping the usual packet throughput over a mobile ad hoc network in the rear regarding nodes that misbehave at the routing layer. Proposed system listen at the routing layer or function no longer try after address attacks at lower layers (eg. jamming the network channel) and passive attacks kind of eavesdropping. Moreover such functionate now not bear together with issues kind of node authentication, securing routes, or message encryption. Proposed solution addresses an orthogonal problem the encouragement concerning proper routing participation.