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Multi-sink En-Route Filtering Mechanism for Wireless Sensor Networks 1

5th International Symposium on security in Computing and Communications, SSCC 2017

作者： Kumar, Alok Pais, Alwyn Roshan Information Security Research Lab Department of Computer Science and Engineering National Institute of Technology Karnataka SurathkalKarnataka India

ISBN: (数字)9789811068980

ISBN: (纸本)9789811068973

Wireless Sensor Networks (WSNs) are deployed in unattended environments and thus are prone to security compromises. Providing security and tamper resistant hardware to each node is also unrealistic. The compromised nodes can populate network with forged false reports which can cause false alarms and wrong decision making in networks. En-Route filtering is a popular method for filtering false reports in WSNs. Many such filtering techniques have been proposed for filtering false reports based on single sink. In this paper we propose a multi-sink en-route filtering mechanism, which reduces the overall energy consumption of the network. This is achieved by dividing the network into smaller networks and assigning a separate sink to each smaller network. This helps in reducing the hop count of genuine reports, saving lot of energy consumption. The proposed technique also decreases the key-exchange overhead maintaining the same filtering efficiency. The proposed technique also reduces the effect of selective forwarding attack in the network. The simulated results also support our claims and we are able to save up to 40% of energy consumption. © 2017, Springer Nature Singapore Pte Ltd.

关键词： Energy utilization

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Fast Verification of Digital Signatures in IoT 1

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5th International Symposium on security in Computing and Communications, SSCC 2017

作者： Kittur, Apurva S. Jain, Ashu Pais, Alwyn Roshan Information Security and Research Lab Department of Computer Science and Engineering National Institute of Technology Karnataka SurathkalKarnataka India

ISBN: (数字)9789811068980

ISBN: (纸本)9789811068973

Internet of Things (IoT) is the recent advancement in Wireless technology where multiple embedded devices are connected through internet for exchange of information. Since the information exchanged is private and at times confidential, state of the art focusses at providing proper security to the system. To avoid illegal users from getting access to information system, authentication through Digital Signatures becomes integral part of IoT. Verifying individual signatures is a time consuming process, hence it is not advisable in IoT systems. Using Batch verification of Digital signatures, reduction in verification time is achievable. Hence in this paper, we have studied different RSA based batch verification techniques and their analysis is provided. Batch verification of digital signatures in IoT devices is a promising area for further research. © 2017, Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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CommanderSong: A systematic approach for practical adversarial voice recognition

arXiv

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arXiv 2018年

作者： Yuan, Xuejing Chen, Yuxuan Zhao, Yue Long, Yunhui Liu, Xiaokang Chen, Kai Zhang, Shengzhi Huang, Heqing Wang, XiaoFeng Gunter, Carl A. SKLOIS Institute of Information Engineering Chinese Academy of Sciences China School of Cyber Security University of Chinese Academy of Sciences China Department of Computer Science Florida Institute of Technology United States Department of Computer Science University of Illinois at Urbana-Champaign United States Department of Computer Science Metropolitan College Boston University United States School of Informatics and Computing Indiana University Bloomington United States

The popularity of automatic speech recognition (ASR) systems, like Google Assistant, Cortana, brings in security concerns, as demonstrated by recent attacks. The impacts of such threats, however, are less clear, since they are either less stealthy (producing noise-like voice commands) or requiring the physical presence of an attack device (using ultrasound speakers or transducers). In this paper, we demonstrate that not only are more practical and surreptitious attacks feasible but they can even be automatically constructed. Specifically, we find that the voice commands can be stealthily embedded into songs, which, when played, can effectively control the target system through ASR without being noticed. For this purpose, we developed novel techniques that address a key technical challenge: integrating the commands into a song in a way that can be effectively recognized by ASR through the air, in the presence of background noise, while not being detected by a human listener. Our research shows that this can be done automatically against real world ASR applications1. We also demonstrate that such CommanderSongs can be spread through Internet (e.g., YouTube) and radio, potentially affecting millions of ASR users. Finally we present mitigation techniques that defend existing ASR systems against such threat. Copyright © 2018, The Authors. All rights reserved.

关键词： Speech recognition

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Innovative Task Scheduling Algorithm in Cloud Computing

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IOP Conference Series: Materials Science and engineering 2020年第2期981卷

作者： S. Magesh Kumar V. Auxilia Osvin Nancy A Balasundaram Seena Naik korra D Kothandaraman E Sudarshan Associate Professor Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Assistant professor Department of IT S. A. Engineering College Chennai Tamil Nadu India Assistant Professor Center for Cyber Physical Systems (CPS) School of Computer Science and Engineering Vellore Institute of Technology (VIT) Chennai Tamil Nadu India Associate Professor School of Computer Science and Artificial Intelligence S R University Warangal India Associate Professor Sumathi Reddy Institute of Technology for Women Warangal India

This work concentrates around the task scheduling depends on QoS and imperative of desire. Under nature of vibrant cloud computing, effectiveness improving of scheduling of task and load balancing are interminable issues. For clients, be that as it may, it's progressively imperative to meet their necessities of QoS. This paper identifies with an improvement decency intention depends on new Berger's model under the earth of vibrant cloud computing. As indicated by the distinctive kind of task scheduling, we portray the need of decency, proficiency and the Balance among advantage and reasonableness separately. We recompile the CloudSim and recreate the three undertaking task scheduling above based on expanded CloudSim individually. The exploratory outcomes show that this calculation portion not just meet the guideline of offering need to profit with because of thought to decency, yet additionally address clients' issues of orchestrated QoS.

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Impact assessment of hypothesized cyberattacks on interconnected bulk power systems

arXiv

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arXiv 2018年

作者： Ten, Chee-Wooi Yamashita, Koji Yang, Zhiyuan Vasilakos, Athanasios V. Ginter, Andrew Electrical and Computer Engineering Department Michigan Technological University HoughtonMI49931 United States Luleå University of Technology Sweden Waterfall Security Solutions Isreal Israel

The first-ever Ukraine cyberattack on power grid has proven its devastation by hacking into their critical cyber assets. With administrative privileges accessing substation networks/local control centers, one intelligent way of coordinated cyberattacks is to execute a series of disruptive switching executions on multiple substations using compromised supervisory control and data acquisition \(SCADA\) systems. These actions can cause significant impacts to an interconnected power grid. Unlike the previous power blackouts, such high-impact initiating events can aggravate operating conditions, initiating instability that may lead to system-wide cascading failure. A systemic evaluation of "nightmare" scenarios is highly desirable for asset owners to manage and prioritize the maintenance and investment in protecting their cyberinfrastructure. This survey paper is a conceptual expansion of real-time monitoring, anomaly detection, impact analyses, and mitigation \(RAIM\) framework that emphasizes on the resulting impacts, both on steady-state and dynamic aspects of power system stability. Hypothetically, we associate the combinatorial analyses of steady state on substations/components outages and dynamics of the sequential switching orders as part of the permutation. The expanded framework includes \(1\) critical/noncritical combination verification, \(2\) cascade confirmation, and \(3\) combination re-evaluation. This paper ends with a discussion of the open issues for metrics and future design pertaining the impact quantification of cyber-related contingencies. Copyright © 2018, The Authors. All rights reserved.

关键词： Outages

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Adding Continuous Proactive Forensics to Android 5th

Adding Continuous Proactive Forensics to Android

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5th International Symposium on security in Computing and Communications, SSCC 2017

作者： Rao, Karthik M. Aiyyappan, P.S. Mateti, Prabhaker TIFAC-CORE in Cyber Security Amrita Vishwa Vidyapeetham EttimadaiTN641105 India Department of Computer Science and Engineering Wright State University DaytonOH45435 United States

ISBN: (纸本)9789811068973

Criminals and terrorists have become good at using the smartphones. The traditional reactive forensics responds only after an incident. Smartphone OS should include proactive forensics support (pfs), that deals with pre-incident preparation. We designed pfs for a custom Android ROM. All configured user activities are monitored stealthily, and opportunistically transferred to the cloud for further investigation. This includes SMS, call log, browser history, etc. We also add a keylogger and call tapping facility. We built two Android apps + a PC client that authenticates a forensics investigator and permits to browse, record, save the activities of the criminal user. © 2017, Springer Nature Singapore Pte Ltd.

关键词： Smartphones

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Blockchain-based Mutual Authentication security Protocol for Distributed RFID Systems

Blockchain-based Mutual Authentication Security Protocol for...

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IEEE Symposium on computers and Communications (ISCC)

作者： Siye Wang Shaoyi Zhu Yanfang Zhang Chinese Academy of Sciences School of Computer and Information Technology Institute of Information Engineering Beijing Jiaotong University Beijing China Chinese Academy of Sciences School of Cyber Security Institute of Information Engineering University of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Institute of Information Engineering Beijing China

Since radio frequency identification (RFID) technology has been used in various scenarios such as supply chain, access control system and credit card, tremendous efforts have been made to improve the authentication between tags and readers to prevent potential attacks. Though effective in certain circumstances, these existing methods usually require a server to maintain a database of identity related information for every tag, which makes the system vulnerable to the SQL injection attack and not suitable for distributed environment. To address these problems, we now propose a novel blockchain-based mutual authentication security protocol. In this new scheme, there is no need for the trusted third parties to provide security and privacy for the system. Authentication is executed as an unmodifiable transaction based on blockchain rather than database, which applies to distributed RFID systems with high security demand and relatively low real-time requirement. Analysis shows that our protocol is logically correct and can prevent multiple attacks.

关键词： Protocols Authentication Radiofrequency identification Servers computers

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Image feature extraction with homomorphic encryption on integer vector 17

Image feature extraction with homomorphic encryption on inte...

引用

2017 International Conference on Machine Learning and Soft Computing, ICMLSC 2017

作者： Huang, Yunfan Yang, Haomiao Nie, Mengxi Wu, Honggang School of Computer Science and Engineering University of Electronic Science and Technology of China Science and Technology on Communication Security Laboratory Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Center for Cyber Security UESTC Chengdu China School of Engineering and Applied Science George Washington University Chengdu United States Second Research Institute Civil Aviation Administration of China Chengdu China

ISBN: (纸本)9781450348287

With the amount of user-contributed image data increasing, it is a potential threat for users that everyone may have the access to gain privacy information. To reduce the possibility of the loss of real information, this paper combines homomorphic encryption scheme and image feature extraction to provide a guarantee for users' privacy. In this paper, the whole system model mainly consists of three parts, including social network service providers (SP), the Interested party (IP) and the applications. Except for the image preprocessing phase, the main operations of feature extraction are conducted in ciphertext domain, which means only SP has the access to the privacy of the users. The extraction algorithm is used to obtain a multi-dimensional histogram descriptor as image feature for each image. As a result, the histogram descriptor can be extracted correctly in encrypted domain in an acceptable time. Besides, the extracted feature can represent the image effectively because of relatively high accuracy. Additionally, many different applications can be conducted by using the encrypted features because of the support of our encryption scheme. © 2017 ACM.

关键词： Feature extraction

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Privacy as a currency: Un-regulated? 14

Privacy as a currency: Un-regulated?

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14th International Joint Conference on e-Business and Telecommunications, ICETE 2017

作者： Patil, Vishwas T. Shyamasundar, R.K. Department of Computer Science and Engineering Information Security R and D Center Indian Institute of Technology Bombay Mumbai400076 India

ISBN: (纸本)9789897582592

We are living in a time where many of the decisions that affect us are made by mathematical models. These models rely on data. Precision and relevance of the decisions made by these models is dependent on quality of the data being fed to them. Therefore, there is a rush to collect personal data. Majority of the organizations that provide online services are at the forefront of collecting user data. Users, either voluntarily or by coercion, divulge information about themselves in return of personalized service, for example. These organizations' revenue model is based on advertisement where advertisers are paired with user profiles that are built on top of collected data. This data is being used for a variety of purposes apart from delivering targeted advertisements. Mathematical decision models are impartial to the data on which they operate. An error, omission or misrepresentation in data has an irrevocable consequence on our lives, at times, without corrective remedies. This paper touches upon various facets of information gathering;information bias, economics of privacy, information asymmetry-and their implications to our ecosystem if left unaddressed. Copyright © 2017 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Access control

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An Extended Exploration to the Epidemic Containment Game

An Extended Exploration to the Epidemic Containment Game

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International Conference on computer Communications and Networks (ICCCN)

作者： Jia-Hao Xu Zhen Wang Guang-Hai Cui Yi-Zhi Ren Hong Ding Kim-Kwang Raymond Choo School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Cyberspace Hangzhou Dianzi University Hangzhou China School of Information and Electrical Engineering Ludong University Yantai China Department of Information Systems and Cyber Security The University of Texas at San Antonio San Antonio TX USA

The epidemic containment game is a formulation to describe voluntary vaccination behaviors before epidemic spreading. This game relies on the characterization of the susceptible-infected- susceptible (SIS) model in terms of the spectral radius of the network. Existing researches showed that finding the worst Nash Equilibrium (NE) is NP-hard and used a heuristic algorithm called Low Degree (LDG) to estimate the maximum social cost under the worst NE (Max NE cost). By comparing the results of the LDG algorithm and exhaustive search, we found the LDG algorithm cannot estimate Max NE cost well, thus, we proposed a new neighbor information based algorithm to estimate Max NE cost in this paper. Moreover, we discussed Stackelberg strategies in which some nodes are secured first by a leader, then other agents choose their strategies voluntarily. We found the target (TAR) strategy is effective to reduce Max NE cost in a scale- free network when T is large and useless when T is low (T is the ratio of the recovery rate to the transmission rate in the SIS model). Moreover, we found that a lot of nodes with small degrees are secured voluntarily under the TAR strategy when T is low, which leads to high Max NE cost. At last, we proposed a new greedy algorithm to select nodes secured first, which can reduce Max NE cost when T is low.

关键词： Nash equilibrium Games Diseases Approximation algorithms Vaccines Eigenvalues and eigenfunctions Erbium

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