Visible to the public Biblio

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2020-06-01
Bhargavi, US., Gundibail, Shivaprasad, Manjunath, KN., Renuka, A..  2019.  Security of Medical Big Data Images using Decoy Technique. 2019 International Conference on Automation, Computational and Technology Management (ICACTM). :310–314.
Tele-radiology is a technology that helps in bringing the communication between the radiologist, patients and healthcare units situated at distant places. This involves exchange of medical centric data. The medical data may be stored as Electronic Health Records (EHR). These EHRs contain X-Rays, CT scans, MRI reports. Hundreds of scans across multiple radiology centers lead to medical big data (MBD). Healthcare Cloud can be used to handle MBD. Since lack of security to EHRs can cause havoc in medical IT, healthcare cloud must be secure. It should ensure secure sharing and storage of EHRs. This paper proposes the application of decoy technique to provide security to EHRs. The EHRs have the risk of internal attacks and external intrusion. This work addresses and handles internal attacks. It also involves study on honey-pots and intrusion detection techniques. Further it identifies the possibility of an intrusion and alerts the administrator. Also the details of intrusions are logged.
2020-03-09
Niu, Yukun, Tan, Xiaobin, Zhou, Zifei, Zheng, Jiangyu, Zhu, Jin.  2013.  Privacy Protection Scheme in Smart Grid Using Rechargeable Battery. Proceedings of the 32nd Chinese Control Conference. :8825–8830.

It can get the user's privacy and home energy use information by analyzing the user's electrical load information in smart grid, and this is an area of concern. A rechargeable battery may be used in the home network to protect user's privacy. In this paper, the battery can neither charge nor discharge, and the power of battery is adjustable, at the same time, we model the real user's electrical load information and the battery power information and the recorded electrical power of smart meters which are processed with discrete way. Then we put forward a heuristic algorithm which can make the rate of information leakage less than existing solutions. We use statistical methods to protect user's privacy, the theoretical analysis and the examples show that our solution makes the scene design more reasonable and is more effective than existing solutions to avoid the leakage of the privacy.

2020-02-17
Zhao, Guowei, Zhao, Rui, Wang, Qiang, Xue, Hui, Luo, Fang.  2019.  Virtual Network Mapping Algorithm for Self-Healing of Distribution Network. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1442–1445.
This paper focuses on how to provide virtual network (VN) with the survivability of node failure. In the SVNE that responds to node failures, the backup mechanism provided by the VN initial mapping method should be as flexible as possible, so that backup resources can be shared among the VNs, thereby providing survivability support for the most VNs with the least backup overhead, which can improve The utilization of backup resources can also improve the survivability of VN to deal with multi-node failures. For the remapping method of virtual networks, it needs to be higher because it involves both remapping of virtual nodes and remapping of related virtual links. The remapping efficiency, so as to restore the affected VN to a normal state as soon as possible, to avoid affecting the user's business experience. Considering that the SVNE method that actively responds to node failures always has a certain degree of backup resource-specific phenomenon, this section provides a SVNE method that passively responds to node failures. This paper mainly introduces the survivability virtual network initial mapping method based on physical node recoverability in this method.
Maykot, Arthur S., Aranha Neto, Edison A. C., Oliva, Neimar A..  2019.  Automation of Manual Switches in Distribution Networks Focused on Self-Healing: A Step toward Smart Grids. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). :1–4.
This work describes the self-healing systems and their benefits in the power distribution networks, with the objective of indicating which manual switch should become, as a matter of priority, automatic. The computational tool used is based on graph theory, genetic algorithms and multicriteria evaluation. There are benefits for consumers, that will benefit from a more reliable and stable system, and for the utility, that can reduce costs with team field and financial compensations payed to consumers in case of continuity indexes violation. Data from a real distribution network from the state of Sao Paulo will be used as a case study for the application of the methodology.
2020-02-10
Auer, Lukas, Skubich, Christian, Hiller, Matthias.  2019.  A Security Architecture for RISC-V based IoT Devices. 2019 Design, Automation Test in Europe Conference Exhibition (DATE). :1154–1159.

New IoT applications are demanding for more and more performance in embedded devices while their deployment and operation poses strict power constraints. We present the security concept for a customizable Internet of Things (IoT) platform based on the RISC-V ISA and developed by several Fraunhofer Institutes. It integrates a range of peripherals with a scalable computing subsystem as a three dimensional System-in-Package (3D-SiP). The security features aim for a medium security level and target the requirements of the IoT market. Our security architecture extends given implementations to enable secure deployment, operation, and update. Core security features are secure boot, an authenticated watchdog timer, and key management. The Universal Sensor Platform (USeP) SoC is developed for GLOBALFOUNDRIES' 22FDX technology and aims to provide a platform for Small and Medium-sized Enterprises (SMEs) that typically do not have access to advanced microelectronics and integration know-how, and are therefore limited to Commercial Off-The-Shelf (COTS) products.

Gao, Jian, Bai, Huifeng, Wang, Dongshan, Wang, Licheng, Huo, Chao, Hou, Yingying.  2019.  Rapid Security Situation Prediction of Smart Grid Based on Markov Chain. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :2386–2389.

Based on Markov chain analysis method, the situation prediction of smart grid security and stability can be judged in this paper. First component state transition probability matrix and component state prediction were defined. A fast derivation method of Markov state transition probability matrix using in system state prediction was proposed. The Matlab program using this method was compiled to analyze and obtain the future state probability distribution of grid system. As a comparison the system state distribution was simulated based on sequential Monte Carlo method, which was in good agreement with the state transition matrix, and the validity of the method was verified. Furthermore, the situation prediction of the six-node example was analyzed, which provided an effective prediction and analysis tool for the security situation.

2020-01-21
Li, Shu, Tian, Jianwei, Zhu, Hongyu, Tian, Zheng, Qiao, Hong, Li, Xi, Liu, Jie.  2019.  Research in Fast Modular Exponentiation Algorithm Based on FPGA. 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). :79–82.
Modular exponentiation of large number is widely applied in public-key cryptosystem, also the bottleneck in the computation of public-key algorithm. Modular multiplication is the key calculation in modular exponentiation. An improved Montgomery algorithm is utilized to achieve modular multiplication and converted into systolic array to increase the running frequency. A high efficiency fast modular exponentiation structure is developed to bring the best out of the modular multiplication module and enhance the ability of defending timing attacks and power attacks. For 1024-bit key operands, the design can be run at 170MHz and finish a modular exponentiation in 4,402,374 clock cycles.
2020-01-20
Warabino, Takayuki, Suzuki, Yusuke, Miyazawa, Masanori.  2019.  ROS-based Robot Development Toward Fully Automated Network Management. 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). :1–4.

While the introduction of the softwarelization technologies such as SDN and NFV transfers main focus of network management from hardware to software, the network operators still have to care for a lot of network and computing equipment located in the network center. Toward fully automated network management, we believe that robotic approach will be significant, meaning that robot will care for the physical equipment on behalf of human. This paper explains our experience and insight gained throughout development of a network management robot. We utilize ROS(Robot Operating System) which is a powerful platform for robot development and secures the ease of development and expandability. Our roadmap of the network management robot is also shown as well as three use cases such as environmental monitoring, operator assistance and autonomous maintenance of the equipment. Finally, the paper briefly explains experimental results conducted in a commercial network center.

2019-05-20
Chu, G., Lisitsa, A..  2018.  Penetration Testing for Internet of Things and Its Automation. 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). :1479–1484.

The Internet of Things (IoT) is an emerging technology, an extension of the traditional Internet which make everything is connected each other based on Radio Frequency Identification (RFID), Sensor, GPS or Machine to Machine technologies, etc. The security issues surrounding IoT have been of detrimental impact to its development and has consequently attracted research interest. However, there are very few approaches which assess the security of IoT from the perspective of an attacker. Penetration testing is widely used to evaluate traditional internet or systems security to date and it normally spends numerous cost and time. In this paper, we analyze the security problems of IoT and propose a penetration testing approach and its automation based on belief-desire-intention (BDI) model to evaluate the security of the IoT.

2019-04-01
Wang, M., Yang, Y., Zhu, M., Liu, J..  2018.  CAPTCHA Identification Based on Convolution Neural Network. 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC). :364–368.
The CAPTCHA is an effective method commonly used in live interactive proofs on the Internet. The widely used CAPTCHAs are text-based schemes. In this paper, we document how we have broken such text-based scheme used by a website CAPTCHA. We use the sliding window to segment 1001 pieces of CAPTCHA to get 5900 images with single-character useful information, a total of 25 categories. In order to make the convolution neural network learn more image features, we augmented the data set to get 129924 pictures. The data set is trained and tested in AlexNet and GoogLeNet to get the accuracy of 87.45% and 98.92%, respectively. The experiment shows that the optimized network parameters can make the accuracy rate up to 92.7% in AlexNet and 98.96% in GoogLeNet.
2019-03-11
Xie, X. L., Xue, W. X..  2018.  An Empirical Study of Web Software Trustworthiness Measurement. 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC). :1474–1481.

The aim of this paper is to present a fresh methodology of improved evidence synthesis for assessing software trustworthiness, which can unwind collisions stemming from proofs and these proofs' own uncertainties. To achieve this end, the paper, on the ground of ISO/IEC 9126 and web software attributes, models the indicator framework by factor analysis. Then, the paper conducts an calculation of the weight for each indicator via the technique of structural entropy and makes a fuzzy judgment matrix concerning specialists' comments. This study performs a computation of scoring and grade regarding software trustworthiness by using of the criterion concerning confidence degree discernment and comes up with countermeasures to promote trustworthiness. Relying on online accounting software, this study makes an empirical analysis to further confirm validity and robustness. This paper concludes with pointing out limitations.

2019-01-21
Kittmann, T., Lambrecht, J., Horn, C..  2018.  A privacy-aware distributed software architecture for automation services in compliance with GDPR. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). 1:1067–1070.

The recently applied General Data Protection Regulation (GDPR) aims to protect all EU citizens from privacy and data breaches in an increasingly data-driven world. Consequently, this deeply affects the factory domain and its human-centric automation paradigm. Especially collaboration of human and machines as well as individual support are enabled and enhanced by processing audio and video data, e.g. by using algorithms which re-identify humans or analyse human behaviour. We introduce most significant impacts of the recent legal regulation change towards the automations domain at a glance. Furthermore, we introduce a representative scenario from production, deduce its legal affections from GDPR resulting in a privacy-aware software architecture. This architecture covers modern virtualization techniques along with authorization and end-to-end encryption to ensure a secure communication between distributes services and databases for distinct purposes.

2018-12-03
Shearon, C. E..  2018.  IPC-1782 standard for traceability of critical items based on risk. 2018 Pan Pacific Microelectronics Symposium (Pan Pacific). :1–3.

Traceability has grown from being a specialized need for certain safety critical segments of the industry, to now being a recognized value-add tool for the industry as a whole that can be utilized for manual to automated processes End to End throughout the supply chain. The perception of traceability data collection persists as being a burden that provides value only when the most rare and disastrous of events take place. Disparate standards have evolved in the industry, mainly dictated by large OEM companies in the market create confusion, as a multitude of requirements and definitions proliferate. The intent of the IPC-1782 project is to bring the whole principle of traceability up to date and enable business to move faster, increase revenue, increase productivity, and decrease costs as a result of increased trust. Traceability, as defined in this standard will represent the most effective quality tool available, becoming an intrinsic part of best practice operations, with the encouragement of automated data collection from existing manufacturing systems which works well with Industry 4.0, integrating quality, reliability, product safety, predictive (routine, preventative, and corrective) maintenance, throughput, manufacturing, engineering and supply-chain data, reducing cost of ownership as well as ensuring timeliness and accuracy all the way from a finished product back through to the initial materials and granular attributes about the processes along the way. The goal of this standard is to create a single expandable and extendable data structure that can be adopted for all levels of traceability and enable easily exchanged information, as appropriate, across many industries. The scope includes support for the most demanding instances for detail and integrity such as those required by critical safety systems, all the way through to situations where only basic traceability, such as for simple consumer products, are required. A key driver for the adoption of the standard is the ability to find a relevant and achievable level of traceability that exactly meets the requirement following risk assessment of the business. The wealth of data accessible from traceability for analysis (e.g.; Big Data, etc.) can easily and quickly yield information that can raise expectations of very significant quality and performance improvements, as well as providing the necessary protection against the costs of issues in the market and providing very timely information to regulatory bodies along with consumers/customers as appropriate. This information can also be used to quickly raise yields, drive product innovation that resonates with consumers, and help drive development tests & design requirements that are meaningful to the Marketplace. Leveraging IPC 1782 to create the best value of Component Traceability for your business.

2018-09-12
Damodaran, Suresh K., Mittal, Saurabh.  2017.  Controlled Environments for Cyber Risk Assessment of Cyber-physical Systems. Proceedings of the Summer Simulation Multi-Conference. :3:1–3:12.

Cyber risk assessment of a Cyber-Physical System (CPS) without damaging it and without contaminating it with malware is an important and hard problem. Previous work developed a solution to this problem using a control component for simulating cyber effects in a CPS model to mimic a cyber attack. This paper extends the previous work by presenting an algorithm for semi-automated insertion of control components into a CPS model based on Discrete Event Systems (DEVS) formalism. We also describe how to use this algorithm to insert a control component into Live, Virtual, Constructive (LVC) environments that may have non-DEVS models, thereby extending our solution to other systems in general.

2018-03-26
Srinivasa Rao, Routhu, Pais, Alwyn R..  2017.  Detecting Phishing Websites Using Automation of Human Behavior. Proceedings of the 3rd ACM Workshop on Cyber-Physical System Security. :33–42.

In this paper, we propose a technique to detect phishing attacks based on behavior of human when exposed to fake website. Some online users submit fake credentials to the login page before submitting their actual credentials. He/She observes the login status of the resulting page to check whether the website is fake or legitimate. We automate the same behavior with our application (FeedPhish) which feeds fake values into login page. If the web page logs in successfully, it is classified as phishing otherwise it undergoes further heuristic filtering. If the suspicious site passes through all heuristic filters then the website is classified as a legitimate site. As per the experimentation results, our application has achieved a true positive rate of 97.61%, true negative rate of 94.37% and overall accuracy of 96.38%. Our application neither demands third party services nor prior knowledge like web history, whitelist or blacklist of URLS. It is able to detect not only zero-day phishing attacks but also detects phishing sites which are hosted on compromised domains.

2018-03-05
Ehrlich, M., Wisniewski, L., Trsek, H., Mahrenholz, D., Jasperneite, J..  2017.  Automatic Mapping of Cyber Security Requirements to Support Network Slicing in Software-Defined Networks. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). :1–4.
The process of digitalisation has an advanced impact on social lives, state affairs, and the industrial automation domain. Ubiquitous networks and the increased requirements in terms of Quality of Service (QoS) create the demand for future-proof network management. Therefore, new technological approaches, such as Software-Defined Networks (SDN) or the 5G Network Slicing concept, are considered. However, the important topic of cyber security has mainly been ignored in the past. Recently, this topic has gained a lot of attention due to frequently reported security related incidents, such as industrial espionage, or production system manipulations. Hence, this work proposes a concept for adding cyber security requirements to future network management paradigms. For this purpose, various security related standards and guidelines are available. However, these approaches are mainly static, require a high amount of manual efforts by experts, and need to be performed in a steady manner. Therefore, the proposed solution contains a dynamic, machine-readable, automatic, continuous, and future-proof approach to model and describe cyber security QoS requirements for the next generation network management.
Ehrlich, M., Wisniewski, L., Trsek, H., Mahrenholz, D., Jasperneite, J..  2017.  Automatic Mapping of Cyber Security Requirements to Support Network Slicing in Software-Defined Networks. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). :1–4.
The process of digitalisation has an advanced impact on social lives, state affairs, and the industrial automation domain. Ubiquitous networks and the increased requirements in terms of Quality of Service (QoS) create the demand for future-proof network management. Therefore, new technological approaches, such as Software-Defined Networks (SDN) or the 5G Network Slicing concept, are considered. However, the important topic of cyber security has mainly been ignored in the past. Recently, this topic has gained a lot of attention due to frequently reported security related incidents, such as industrial espionage, or production system manipulations. Hence, this work proposes a concept for adding cyber security requirements to future network management paradigms. For this purpose, various security related standards and guidelines are available. However, these approaches are mainly static, require a high amount of manual efforts by experts, and need to be performed in a steady manner. Therefore, the proposed solution contains a dynamic, machine-readable, automatic, continuous, and future-proof approach to model and describe cyber security QoS requirements for the next generation network management.
2018-02-27
Potluri, S., Henry, N. F., Diedrich, C..  2017.  Evaluation of Hybrid Deep Learning Techniques for Ensuring Security in Networked Control Systems. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). :1–8.

With the rapid application of the network based communication in industries, the security related problems appear to be inevitable for automation networks. The integration of internet into the automation plant benefited companies and engineers a lot and on the other side paved ways to number of threats. An attack on such control critical infrastructure may endangers people's health and safety, damage industrial facilities and produce financial loss. One of the approach to secure the network in automation is the development of an efficient Network based Intrusion Detection System (NIDS). Despite several techniques available for intrusion detection, they still lag in identifying the possible attacks or novel attacks on network efficiently. In this paper, we evaluate the performance of detection mechanism by combining the deep learning techniques with the machine learning techniques for the development of Intrusion Detection System (IDS). The performance metrics such as precession, recall and F-Measure were measured.

2018-02-21
Haq, E. U., Xu, H., Pan, L., Khattak, M. I..  2017.  Smart Grid Security: Threats and Solutions. 2017 13th International Conference on Semantics, Knowledge and Grids (SKG). :188–193.

the terms Smart grid, IntelliGrid, and secure astute grid are being used today to describe technologies that automatically and expeditiously (separate far from others) faults, renovate potency, monitor demand, and maintain and recuperate (firm and steady nature/lasting nature/vigor) for more reliable generation, transmission, and distribution of electric potency. In general, the terms describe the utilization of microprocessor-predicated astute electronic contrivances (IEDs) communicating with one another to consummate tasks afore now done by humans or left undone. These IEDs watch/ notice/ celebrate/ comply with the state of the puissance system, make edified decisions, and then take action to preserve the (firm and steady nature/lasting nature/vigor) and performance of the grid. Technology use/military accommodation in the home will sanction end users to manage their consumption predicated on their own predilections. In order to manage their consumption or the injuctive authorization placed on the grid, people (who utilize a product or accommodation) need information and an (able to transmute and get better) power distribution system. The astute grid is an accumulation of information sources and the automatic control system that manages the distribution of puissance, understands the transmutations in demand, and reacts to it by managing demand replication. Different billing (prosperity plans/ways of reaching goals) for mutable time and type of avail, as well as conservation and use or sale of distributed utilizable things/valuable supplies, will become part of perspicacious solutions. The traditional electrical power grid is currently evolving into the perspicacious grid. Perspicacious grid integrates the traditional electrical power grid with information and communication technologies (ICT). Such integration empowers the electrical utilities providers and consumers, amends the efficiency and the availability of the puissance system while perpetually monitoring, - ontrolling and managing the authoritative ordinances of customers. A keenly intellective grid is an astronomically immense intricate network composed of millions of contrivances and entities connected with each other. Such a massive network comes with many security concerns and susceptibilities. In this paper, we survey the latest on keenly intellective grid security. We highlight the involution of the keenly intellective grid network and discuss the susceptibilities concrete to this sizably voluminous heterogeneous network. We discuss then the challenges that subsist in securing the keenly intellective grid network and how the current security solutions applied for IT networks are not adequate to secure astute grid networks. We conclude by over viewing the current and needed security solutions for the keenly intellective gird.

Zhang, H., Lin, Y., Xiao, J..  2017.  An innovative analying method for the scale of distribution system security region. 2017 IEEE Power Energy Society General Meeting. :1–5.

Distribution system security region (DSSR) has been widely used to analyze the distribution system operation security. This paper innovatively defines the scale of DSSR, namely the number of boundary constraints and variables of all operational constraints, analyzes and puts forward the corresponding evaluation method. Firstly, the influence of the number of security boundary constraints and variables on the scale of DSSR is analyzed. The factors that mainly influence the scale are found, such as the number of transformers, feeders, as well as sectionalizing switches, and feeder contacts modes between transformers. Secondly, a matrix representing the relations among transformers in distribution system is defined to reflect the characteristics of network's structure, while an algorithm of the scale of DSSR based on transformers connection relationship matrix is proposed, which avoids the trouble of listing security region constraints. Finally, the proposed method is applied in a test system to confirm the effectiveness of the concepts and methods. It provides the necessary foundation for DSSR theory as well as safety analysis.

Kumar, S., Johari, R., Singh, L., Gupta, K..  2017.  SCLCT: Secured cross language cipher technique. 2017 International Conference on Computing, Communication and Automation (ICCCA). :545–550.

Cryptography is the fascinating science that deals with constructing and destructing the secret codes. The evolving digitization in this modern era possesses cryptography as one of its backbones to perform the transactions with confidentiality and security wherever the authentication is required. With the modern technology that has evolved, the use of codes has exploded, enriching cryptology and empowering citizens. One of the most important things that encryption provides anyone using any kind of computing device is `privacy'. There is no way to have true privacy with strong security, the method with which we are dealing with is to make the cipher text more robust to be by-passed. In current work, the well known and renowned Caesar cipher and Rail fence cipher techniques are combined with a cross language cipher technique and the detailed comparative analysis amongst them is carried out. The simulations have been carried out on Eclipse Juno version IDE for executions and Java, an open source language has been used to implement these said techniques.

2018-02-14
Gutzwiller, R. S., Reeder, J..  2017.  Human interactive machine learning for trust in teams of autonomous robots. 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA). :1–3.

Unmanned systems are increasing in number, while their manning requirements remain the same. To decrease manpower demands, machine learning techniques and autonomy are gaining traction and visibility. One barrier is human perception and understanding of autonomy. Machine learning techniques can result in “black box” algorithms that may yield high fitness, but poor comprehension by operators. However, Interactive Machine Learning (IML), a method to incorporate human input over the course of algorithm development by using neuro-evolutionary machine-learning techniques, may offer a solution. IML is evaluated here for its impact on developing autonomous team behaviors in an area search task. Initial findings show that IML-generated search plans were chosen over plans generated using a non-interactive ML technique, even though the participants trusted them slightly less. Further, participants discriminated each of the two types of plans from each other with a high degree of accuracy, suggesting the IML approach imparts behavioral characteristics into algorithms, making them more recognizable. Together the results lay the foundation for exploring how to team humans successfully with ML behavior.

2018-02-06
Brunner, M., Sillaber, C., Breu, R..  2017.  Towards Automation in Information Security Management Systems. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS). :160–167.

Establishing and operating an Information Security Management System (ISMS) to protect information values and information systems is in itself a challenge for larger enterprises and small and medium sized businesses alike. A high level of automation is required to reduce operational efforts to an acceptable level when implementing an ISMS. In this paper we present the ADAMANT framework to increase automation in information security management as a whole by establishing a continuous risk-driven and context-aware ISMS that not only automates security controls but considers all highly interconnected information security management tasks. We further illustrate how ADAMANT is suited to establish an ISO 27001 compliant ISMS for small and medium-sized enterprises and how not only the monitoring of security controls but a majority of ISMS related activities can be supported through automated process execution and workflow enactment.

2018-02-02
Amir, K. C., Goulart, A., Kantola, R..  2016.  Keyword-driven security test automation of Customer Edge Switching (CES) architecture. 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM). :216–223.

Customer Edge Switching (CES) is an experimental Internet architecture that provides reliable and resilient multi-domain communications. It provides resilience against security threats because domains negotiate inbound and outbound policies before admitting new traffic. As CES and its signalling protocols are being prototyped, there is a need for independent testing of the CES architecture. Hence, our research goal is to develop an automated test framework that CES protocol designers and early adopters can use to improve the architecture. The test framework includes security, functional, and performance tests. Using the Robot Framework and STRIDE analysis, in this paper we present this automated security test framework. By evaluating sample test scenarios, we show that the Robot Framework and our CES test suite have provided productive discussions about this new architecture, in addition to serving as clear, easy-to-read documentation. Our research also confirms that test automation can be useful to improve new protocol architectures and validate their implementation.

2018-01-16
Kansal, V., Dave, M..  2017.  DDoS attack isolation using moving target defense. 2017 International Conference on Computing, Communication and Automation (ICCCA). :511–514.

Among the several threats to cyber services Distributed denial-of-service (DDoS) attack is most prevailing nowadays. DDoS involves making an online service unavailable by flooding the bandwidth or resources of a targeted system. It is easier for an insider having legitimate access to the system to circumvent any security controls thus resulting in insider attack. To mitigate insider assisted DDoS attacks, this paper proposes a moving target defense mechanism that involves isolation of insiders from innocent clients by using attack proxies. Further using the concept of load balancing an effective algorithm to detect and handle insider attack is developed with the aim of maximizing attack isolation while minimizing the total number of proxies used.