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Non-zero-sum game-based trust model to enhance wireless sensor networks security for IoT applications

IET wireless sensor SYSTEMS 2019年第4期9卷 218-226页

作者： Abdalzaher, Mohamed S. Samy, Lotfy Muta, Osamu Natl Res Inst Astron & Geophys Seismol Dept Natl Seism Network Lab Elmarsad St Cairo 11421 Egypt Nahda Univ Elect & Commun Engn Dept Bani Suwayf Egypt Kyushu Univ Ctr Japan Egypt Cooperat Sci & Technol Nishi Ku 744 Motooka Fukuoka Fukuoka 8190395 Japan

Nowadays, trust models of wireless sensor networks (WSNs) security have flourished due to the day-to-day attack challenges, which are most popular for internet of things (IoT). This article proposes a trust model based on non-zero-sum game approach for clustered-WSNs (CWSNs) security to maximise the data trustworthiness transmission. The proposed model is developed for two different attack-defence scenarios. In the first scenario, the trust model is used to face a denial-of-service (DoS) attack in which the attacker is able to drop or partially drop the delivered acknowledgments (ACKs) from a cluster member (CM) to the cluster head (CH). In the second scenario, the model target is to protect CWSNs from ON-OFF attack where the attacker is capable to frequently infect the CMs. Simulation results show improved performance of protecting the CWSNs against DoS/ON-OFF attacks and maximising data trustworthiness represented by the CMs compliance of sending the ACKs to the CH. Consequently, this mechanism can attain the appropriate security and performance for WSN-based IoT systems.

关键词： security of data game theory telecommunication network reliability wireless sensor networks Internet of Things denial-of-service attack CWSNs DoS ON-OFF attacks nonzero-sum game-based trust model wireless sensor networks security IoT applications day-to-day attack challenges clustered-WSNs security data trustworthiness transmission attack-defence scenarios data trustworthiness

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Distributed Intrusion Detection System for wireless sensor networks 9

Distributed Intrusion Detection System for Wireless Sensor N...

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9th International Conference on Next Generation Mobile Applications, Services and Technologies

作者： Medhat, Karen Ramadan, Rabie A. Talkhan, Ihab Cairo Univ Fac Engn Dept Comp Engn Cairo Egypt

ISBN: (纸本)9781479986606

wireless sensor networks is extensively used in many of applications related to different fields. Some of those applications deal with confidential and critical data that must be protected from unauthorized access. Some other systems use WSNs that are deployed in very harsh environments with limited energy resources. Those systems cannot tolerate network failures that can be caused by network intruders. In this paper, an efficient intrusion detection model is introduced. The model uses intelligent techniques to detect intrusions. Two different architectures are introduced. The first architecture represents the level of sensor node, sink node, and base station. The second architecture represents the levels of sensor and sink nodes. This work proposes two intrusion detection algorithms, one uses a supervised learning mechanism to be used on the level of the sensor node and the other uses an unsupervised learning mechanism to be used on the levels of both the sink node and base station. The output of the algorithms is a set of detection rules which are structured in the form of binary tree. The introduced algorithms provided a high detection accuracy using less number of selected features, compared to previous work for intrusion detection, which decreases the complexity and the processing time. The proposed learning algorithms used only 10% of the data for training. An enhancement for J48 classification algorithm is also introduced which decreases the size of the algorithm's decision tree and makes it suitable to be used for intrusion detection in WSNs.

关键词： wireless sensor networks security Intrusion Detection Classification Clustering feature selection

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Analysis of ECC for Application Specific WSN security 6

Analysis of ECC for Application Specific WSN Security

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2015 IEEE International Conference on Computational Intelligence and Research (ICCIC)

作者： Nair, Biji Mala, C. Natl Inst Technol Dept Comp Sci & Engn Tiruchirappalli Tamil Nadu India

ISBN: (纸本)9781479978496

The range of applications based on wireless sensor Network (WSN) is wide and numerous. security solution implementation is a major issue as these networks are formed from resource constrained tiny sensor nodes which have meager computational power and network lifetime. Moreover, the applications require different levels of security. A standard security solution is not feasible in such networks. Elliptic Curve Cryptography (ECC) is emerging as a promising security solution for WSN. Certain applications that require basic security level need not be burdened by using standard security measures which may tax on their efficiency. The right choice of values of parameters of Elliptic Curves (EC) is of paramount importance while implementing ECC for resource constrained WSN. This paper identifies the relevant parameters of EC for ECC implementation in WSN and analyses the impact of their values on the level of security they offer.

关键词： Elliptic Curve Cryptography wireless sensor networks security Public Key Cryptography

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On Node Replication Attack in wireless sensor networks

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MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY 2015年第4期34卷 413-424页

作者： Qabulio, Mumtaz Malkani, Yasir Arfat Keerio, Ayaz Ahmed Univ Sindh Inst Math & Comp Sci Jamshoro Pakistan

WSNs (wireless sensor networks) comprise a large number of small, inexpensive, low power and memory constrained sensing devices (called sensor nodes) that are densely deployed to measure a given physical phenomenon. Since WSNs are commonly deployed in a hostile and unattended environment, it is easy for an adversary to physically capture one or more legitimate sensor nodes, re-program and redeploy them in the network. As a result, the adversary becomes able to deploy several identical copies of physically captured nodes in the network in order to perform illegitimate activities. This type of attack is referred to as Node Replication Attack or Clone Node Attack. By launching node replication attack, an adversary can easily get control on the network which consequently is the biggest threat to confidentiality, integrity and availability of data and services. Thus, detection and prevention of node replication attack in WSNs has become an active area of research and to date more than two dozen schemes have been proposed, which address this issue. In this paper, we present a comprehensive review, classification and comparative analysis of twenty five of these schemes which help to detect and/or prevent node replication attack in WSNs.

关键词： wireless sensor networks security Node Replication Clone Node Attack

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Distributed Intrusion Detection System for wireless sensor networks

Distributed Intrusion Detection System for Wireless Sensor N...

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International Conference on Next Generation Mobile Applications, Services and Technologies

作者： Karen Medhat Rabie A. Ramadan Ihab Talkhan Computer Engineering Department Faculty of Engineering Cairo University Egypt

ISBN: (纸本)9781479986613

关键词： wireless sensor networks security Intrusion Detection Classification Clustering feature selection

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Weighted k Nearest Neighbour-based Cooperation Intrusion Detection System for wireless sensor networks

Weighted k Nearest Neighbour-based Cooperation Intrusion Det...

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International Conference on Information Technology and Management Innovation (ICITMI2012)

作者： Pan, Julong Hu, Linglong Li, Wenjin Cui, Hui Li, Ziyin China Jiliang Univ Coll Informat Engn Hangzhou 310018 Peoples R China China Jiliang Univ Coll Opt Engn Hangzhou 310018 Peoples R China

ISBN: (纸本)9783037855744

To identify the malicious nodes timely in wireless sensor networks(WSNs), a cooperation intrusion detection scheme based on weighted k Nearest Neighbour(kNN) is proposed. Given a few types of sensor nodes, the test model extracts the properties of sensor nodes related with the known types of malicious nodes, and establishes sample spaces of all sensor nodes which participate in network activities. According to the known node's attributes sampled, the unknown type sensor nodes are classified based on weighted INN. Considering of energy consumption, an intrusion detection system selection algorithm is joined in the sink node. Simulation results show that the scheme has a lower false detection rate and a higher detection rate at the same time, and it can preserve energy of detection nodes compared with an existing intrusion detection scheme.

关键词： wireless sensor networks security intrusion detection k Nearest Neighbour

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Adaptive Active Defense Mechanism in wireless sensor networks

Adaptive Active Defense Mechanism in Wireless Sensor Network...

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2nd International Symposium on Instrumentation and Measurement, sensor Network and Automation (IMSNA)

作者： Hu, Yu Li, Rong Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China PLA Unit 61135 Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781479927166

security in wireless sensor networks (WSNs) is very important. Traditional security schemes abandon compromised nodes and add a lot of redundancies to make the network resilient. These methods are not applicable to resource-limited WSNs. This paper proposes an adaptive and active defense mechanism with low power consumption. In our scheme, some nodes are configured as monitoring nodes to identify attacks;after determining the attacker, the defense system is activated and actively rescue compromised nodes. Our scheme consumes battery wisely since only a small set of nodes are selected as monitoring nodes and defense nodes are adaptively chosen to counter the attack. We also enhance the adaptive active defense mechanism by adding the functionality which allows administrators to add or change rules of defense.

关键词： active defense energy efficiency wireless sensor networks security

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Distributed Detection of Clone Attacks in wireless sensor networks

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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 2011年第5期8卷 685-698页

作者： Conti, Mauro Di Pietro, Roberto Mancini, Luigi Vincenzo Mei, Alessandro Univ Roma La Sapienza Dipartimento Informat I-00198 Rome Italy Univ Rome Tre Dipartimento Matemat I-00146 Rome Italy

wireless sensor networks (WSNs) are often deployed in hostile environments where an adversary can physically capture some of the nodes, first can reprogram, and then, can replicate them in a large number of clones, easily taking control over the network. A few distributed solutions to address this fundamental problem have been recently proposed. However, these solutions are not satisfactory. First, they are energy and memory demanding: A serious drawback for any protocol to be used in the WSN-resource-constrained environment. Further, they are vulnerable to the specific adversary models introduced in this paper. The contributions of this work are threefold. First, we analyze the desirable properties of a distributed mechanism for the detection of node replication attacks. Second, we show that the known solutions for this problem do not completely meet our requirements. Third, we propose a new self-healing, Randomized, Efficient, and Distributed (RED) protocol for the detection of node replication attacks, and we show that it satisfies the introduced requirements. Finally, extensive simulations show that our protocol is highly efficient in communication, memory, and computation;is much more effective than competing solutions in the literature;and is resistant to the new kind of attacks introduced in this paper, while other solutions are not.

关键词： wireless sensor networks security node replication attack detection distributed protocol resilience efficiency

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Towards a Bio-inspired security Framework for Mission-Critical wireless sensor networks

Towards a Bio-inspired Security Framework for Mission-Critic...

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4th International Symposium on Intelligence Computation and Applications

作者： Ren, Wei Song, Jun Ma, Zhao Huang, Shiyong China Univ Geosci Sch Comp Sci Dept Informat Secur Wuhan 430074 Peoples R China

ISBN: (纸本)9783642049613

Mission-critical wireless sensor networks (WSNs) have been fount, in numerous promising applications in civil and military fields. However, the functionality of WSNs extensively relies on its security capability for detecting and defending sophisticated adversaries, such as Sybil, worm hole and mobile adversaries. In this paper, we propose a bio-inspired security framework to pro vide intelligence-enabled security mechanisms. This scheme is composed of a middleware, multiple agents and mobile agents. The agents monitor the net work packets, host activities, make decisions and launch corresponding responses. Middleware performs an infrastructure for the communication be tween various agents and corresponding mobility. Certain cognitive models and intelligent algorithms such as Layered Reference Model of Brain and Self Organizing Neural Network with Competitive Learning are explored in the context of sensor networks that have resource constraints. The security framework and implementation are also described in details.

关键词： Multiple Mobile Agent System wireless sensor networks security Intelligent Computation Application

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Localized Multicast: Efficient and Distributed Replica Detection in Large-Scale sensor networks

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2010年第7期9卷 913-926页

作者： Zhu, Bo Setia, Sanjeev Jajodia, Sushil Roy, Sankardas Wang, Lingyu Concordia Univ Concordia Inst Informat Syst Engn Montreal PQ H3G 2W1 Canada George Mason Univ Dept Comp Sci Fairfax VA 22030 USA

Due to the poor physical protection of sensor nodes, it is generally assumed that an adversary can capture and compromise a small number of sensors in the network. In a node replication attack, an adversary can take advantage of the credentials of a compromised node to surreptitiously introduce replicas of that node into the network. Without an effective and efficient detection mechanism, these replicas can be used to launch a variety of attacks that undermine many sensor applications and protocols. In this paper, we present a novel distributed approach called Localized Multicast for detecting node replication attacks. The efficiency and security of our approach are evaluated both theoretically and via simulation. Our results show that, compared to previous distributed approaches proposed by Parno et al., Localized Multicast is more efficient in terms of communication and memory costs in large-scale sensor networks, and at the same time achieves a higher probability of detecting node replicas.

关键词： wireless sensor networks security node replication attack detection distributed protocol efficiency

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