Intelligent Intrusion Detection System in Wireless Sensor Network

Sardar, Abdur Rahaman; Sahoo, Rashmita; Singh, Moutushi; Sarkar, Souvik; Singh, Jamuna Kanta; Majumder, Koushik

doi:10.1007/978-3-319-12012-6_78

Cited by 6 publications

(6 citation statements)

References 4 publications

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“…The mobility of sensors brings many advantages to various applications, especially, real time applications such as traffic monitoring, healthcare monitoring, and social interaction . Furthermore, mobile sensors can be used to trace moving phenomenon like packages, vehicles, and chemical clouds . The mobility in MWSNs has 4 possible categories, which are mobile sensor nodes, mobile relay nodes, mobile base stations, and mobile cluster heads .…”

Section: Introductionmentioning

confidence: 99%

“…2 Furthermore, mobile sensors can be used to trace moving phenomenon like packages, vehicles, and chemical clouds. 3 The mobility in MWSNs has 4 possible categories, which are mobile sensor nodes, mobile relay nodes, mobile base stations, and mobile cluster heads. 2,4 In addition, the mobility has 3 paradigms, which are controllable movement, predictable movement, and unpredictable movement.…”

Section: Introductionmentioning

confidence: 99%

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Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Yaseen

Albalas

Jararwah

et al. 2017

Trans Emerging Tel Tech

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Selective forwarding is a major problem in wireless sensor networks (WSNs). The nature of sensor environments and the sensitivity of collected measurements in some fields such as war fields increase the need to prevent, detect, or mitigate the problem. One of the most used countermeasures for such problem is the use of voting system based on watchdogs' votes. However, this approach is not applicable in the case of mobile sensors. Mobile WSNs (MWSNs) is growing immensely due to the exposure of applications of mobile computing, vehicular networks, and Internet of things. This exposure has shed light on the security of using mobile sensors and raises the need to set appropriate methods for securing MWSNs against many attacks such as selective forwarding attacks. This paper introduces the problem of selective forwarding in MWSNs and discusses how the voting system used for mitigation; this problem in WSNs is not applicable in handling the problem in MWSNs due to sensors mobility. Therefore, the paper proposes a model that provides a global monitoring capability for tracing moving sensors and detecting malicious ones. The model leverages the infrastructure of fog computing to achieve this purpose. In addition, the paper suggests using software defined systems to be used along with the proposed model, which generalize the model to be used to secure MWSNs against other types of attacks easily and flexibly. The paper provides a complete algorithm, a comprehensive discussion and experiments that show the correctness and importance of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Yaseen

Albalas

Jararwah

et al. 2017

Trans Emerging Tel Tech

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“…The Authors [21] have proposed an intelligent intrusion detection system in WSNs. In their work, the network is totality closer-based and there is no retransmission mechanism.…”

Section: Related Workmentioning

confidence: 99%

Centralized IDS Based on Misuse Detection for Cluster-Based Wireless Sensors Networks

Hidoussi

Toral-Cruz

Boubiche

et al. 2015

Wireless Pers Commun

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Despite of their energy efficiency, most of WSN's cluster-based routing protocols are vulnerable to security threats. Selective forwarding and black hole attacks are ranked among the most devastating attacks which they target this class of routing protocols. In this paper, a new centralized intrusion detection system is proposed to detect selective forwarding and black hole attacks in cluster-based wireless sensors networks. The main idea is the use of a centralized detection approach, where the base station decides on potential intrusions based on control packets sent from the cluster heads. The proposed intrusion detection technique is simple and energy efficient, it is thus suitable for sensor & Faouzi Hidoussi nodes with resource constrained. The simulation results confirm the expected performance of the proposed IDS in terms of security and energy efficiency.

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“…To detect intrusion, IDS dynamically monitor the system and the user actions in the system. detect an attack by using deviation from a normal profile [5,14].…”

Section: A Idsmentioning

confidence: 99%

An Efficient Approach for Eliminating the Sybil, Sinkhole and Wormhole Attack in WSN

Parihar¹

2017

ijarcs

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A WSN having the extensive collection of sensor nodes which are able to sensing, processing and communicating they helps the base station to send and received information according to the situation in a meticulous environment. WSNs are susceptible in security area, there may be so many malicious activities are possible in the network. When some security attack occurs into the network, an IDS is used to distinguish the malicious nodes into the network as early as possible and generate some alert to take further action against malicious nodes. WSN is the extensive area of network, where lots of work done regarding security. Although, security is not fully preserve in WSN so in existing technique there are plenty of issues. By using Mac-duration they only recognize wormhole attack not all mention attack. This work done only when three way hand shaking happen but due to mobility network scenario change. There is no technique to prevent attacks. To resolve these difficulties, we performed some scenario to intercept the network from the wormhole, Sybil and sinkhole attack. In our proposed work, we take the threshold as an average value and compare it with mobility of nodes and drop count value simultaneously.

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Intelligent Intrusion Detection System in Wireless Sensor Network

Cited by 6 publications

References 4 publications

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Leveraging fog computing and software defined systems for selective forwarding attacks detection in mobile wireless sensor networks

Centralized IDS Based on Misuse Detection for Cluster-Based Wireless Sensors Networks

An Efficient Approach for Eliminating the Sybil, Sinkhole and Wormhole Attack in WSN

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