An efficient intrusion detection framework in cluster‐based wireless sensor networks

Sedjelmaci, Hichem; Senouci, Sidi‐Mohammed; Feham, Mohammed

doi:10.1002/sec.687

Cited by 39 publications

(36 citation statements)

References 25 publications

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“…Intrusion detection is the most reliable approach to protect vehicular networks against threats as it has the ability to detect insider and external attacks with a high accuracy [2]. Some research has been done in the area of IDS / IPS for Mobile Ad-hoc Networks (MANETs) and VANETs in [1], [24]- [30].…”

Section: Related Workmentioning

confidence: 99%

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Zaidi

Milojevic

Rakocevic

et al. 2016

IEEE Trans. Veh. Technol.

154

114

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-In this work, an Intrusion Detection System (IDS) for vehicular ad hoc networks (VANETs) is proposed and evaluated. The IDS is evaluated by simulation in presence of rogue nodes that can launch different attacks. The proposed IDS is capable of detecting a false information attack using statistical techniques effectively and can also detect other types of attacks. First, the theory and implementation of the VANET model that is used to train the IDS is discussed. Then an extensive simulation and analysis of our model under different traffic conditions is conducted to identify the effects of these parameters in VANETs. In addition, the extensive data gathered in the simulations is presented using graphical and statistical techniques. Moreover, rogue nodes are introduced in the network and an algorithm is presented to detect these rogue nodes. Finally, we evaluate our system and observe that the proposed application layer IDS based on cooperative information exchange mechanism is better for dynamic and fast moving networks such as VANETs as compared to other techniques available. Permanent repository link

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Section: Related Workmentioning

confidence: 99%

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Zaidi

Milojevic

Rakocevic

et al. 2016

IEEE Trans. Veh. Technol.

154

114

View full text Add to dashboard Cite

show abstract

“…The IDS technique is very effective in protecting the network against malicious nodes [4]. However, the current IDS frameworks conceived for HetVNet and/or VANET [5][6]- [9][10][11] take a final decision (i.e.…”

Section: Related Workmentioning

confidence: 99%

“…and in the other hand form a specific network with particular characteristics (frequent fragmentation, dynamic topology, no centralized authority, etc.). Intrusion detection system (IDS) is a security mechanism that has the ability to detect a malicious behavior that targets the network and raises an alarm when the intruder is detected [4]. It acts as second wall of defense when cryptography is broken and already proved its effectiveness against both external and internal intruders.…”

Section: Introductionmentioning

confidence: 99%

Predict and prevent from misbehaving intruders in heterogeneous vehicular networks

Sedjelmaci

Senouci

Bouali

2017

Vehicular Communications

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International audienceThe great evolution of communication technologies and potential availability of network access mediums and service providers have led to the appearance of heterogeneous network concept. This paradigm refers to the seamless and ubiquitous interoperability between multi-coverage protocols with different access techniques. A heterogeneous vehicular network (HetVNet) is a heterogeneous network where a vehicle is a smart node equipped with various communication technologies such as Dedicated Short Range Communication (DSRC) and cellular network (3G/4G). The purpose of HetVNet is ensuring a wide area coverage to all vehicles in a large scale network, thus achieving the Always Best Connected (ABC) paradigm where the best continuous connectivity is offered to clients. In addition, HetVNet enables the acquisition and processing of a large amount of data from wide geographical areas via smart vehicles to offer various categories of services to drivers and passengers. There are many challenges in HetVNet and security is one of them since, on one hand, vehicles exchange vital data (about congestions, accidents, hazards, road-works, etc.) and on the other hand they form a specific network with particular characteristics (frequent fragmentation, dynamic topology, no centralized authority, etc.). Intrusion detection systems (IDS) act as a second wall of defense when cryptography is broken and already proved their effectiveness against both external and internal intruders. Therefore, in this research work we propose and implement an intrusion detection and prediction scheme able to detect and especially predict the future misbehavior of a malicious vehicle. The attack prediction technique proposed in this paper is based on a game theory to prevent the occurrence of malicious vehicles. Moreover, the proposed detection scheme detects the most dangerous attacks that target a HetVNet such as false alerts and Sybil attacks. This detection uses a rules-based technique to model a normal behavior of a vehicle. Simulations performed using NS-3 show that our scheme exhibits a high accuracy prediction, faster attack detection, and a low communication overhead compared to current detection frameworks

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“…There are different kinds of attacks on WSNs . For instance, attacks such as hello flood, black hole, and wormhole are detected using intrusion detection systems . However, in this work, we are interested in attacks that threaten the application level and occurred when data aggregation is involved .…”

Section: Introductionmentioning

confidence: 99%

Secure and efficient verification for data aggregation in wireless sensor networks

2017

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SummaryThe Internet of Things (IoT) concept is, and will be, one of the most interesting topics in the field of Information and Communications Technology. Covering a wide range of applications, wireless sensor networks (WSNs) can play an important role in IoT by seamless integration among thousands of sensors. The benefits of using WSN in IoT include the integrity, scalability, robustness, and easiness in deployment. In WSNs, data aggregation is a famous technique, which, on one hand, plays an essential role in energy preservation and, on the other hand, makes the network prone to different kinds of attacks. The detection of false data injection and impersonation attacks is one of the major concerns in WSNs. In order to verify the data, there is either the end-to-end approach or the hop-by-hop approach. In the former, the detection of these attacks can only be performed at sink node, i.e., after reception of aggregate, a detection that is inefficient and leads to a significant loss of legitimate data.In this paper, we propose a scheme that provides the end-to-end privacy and allows early detection of the attack through a hop-by-hop verification, thus reducing the need to rely entirely on sink node for verification. Based on an enhanced version of TinyECC, the solution is implemented on MicaZ and TelosB motes. Through simulation and experimental results, we show the applicability of the scheme for WSNs.

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An efficient intrusion detection framework in cluster‐based wireless sensor networks

Cited by 39 publications

References 25 publications

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

Predict and prevent from misbehaving intruders in heterogeneous vehicular networks

Secure and efficient verification for data aggregation in wireless sensor networks

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