Wireless sensor networks for intrusion detection: packet traffic modeling

Demirkol, Ilker; Alagöz, Fatíh; Delic, H.; Ersoy, Cem

doi:10.1109/lcomm.2006.1576557

Cited by 62 publications

(24 citation statements)

References 3 publications

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“…In [13] it is suggested that WSN applications can be categorized as event-driven or periodic data generation. For periodic data generation scenarios, constant bit rate (CBR) can be used to model the data traffic arrival process when the bit rate is constant [14].…”

Section: Packet Traffic Arrival Processmentioning

confidence: 99%

Packet Flow Rate to Protect Wireless Sensor Networks from Wormhole and Hello Flood Attacks

Soleman¹,

Payandeh²,

Mozayyani³

et al. 2013

IJCA

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The increased deployment of ubiquitous wireless sensor (WSN) networks has exponentially increased the complexity to detect wireless sensor network attacks and protect against them. Wormhole and hello flood attacks can destabilize or disable wireless sensor networks. In a typical wormhole attack, the attacker receives packets at one point in the network, forwards them through a wired or wireless link with less latency than the network links, and relays them to another point in the network. Hello flood attack is an important attack on the network layer, in which an adversary, which is not a legal node in the network, can flood hello request to any legitimate node using high transmission power and break the security of WSNs. This paper describes detection algorithms for wireless sensor networks, which detects wormholes and hello flood attacks based on the packet flow rate to base station node in the network. Simulation results show that the algorithms have low false toleration and false detection rates and small time to detect attacks. Keywords:Wireless sensor network, packet flow, cluster topology, wormhole attack, hello flood attack.

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Section: Packet Traffic Arrival Processmentioning

confidence: 99%

Packet Flow Rate to Protect Wireless Sensor Networks from Wormhole and Hello Flood Attacks

Soleman¹,

Payandeh²,

Mozayyani³

et al. 2013

IJCA

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“…In [30], I. Demirkol, et al devised a new packet traffic model for sensor networks whose task is intrusion detection. The model deal with the scene of single target detection and considered such system design parameters as the number of sensor nodes deployed, surveillance area, sensing range, target velocity and sampling interval.…”

Section: ) Special Applications In Wsnmentioning

confidence: 99%

Research of Traffic Modeling for Future Wireless Networks

Chen

Wang

et al. 2009

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing

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Traffic modeling contributes remarkably to network design and performance evaluation in wireless networks. Various traffic models have been proposed for wireless networks thus far.. In order to provide a better understanding in this area, the article presents a detailed investigation to current studies of traffic models in different wireless networks. And then the origins of model differences are analyzed. Finally, some open research issues are pointed out and possible improvement hints are proposed.

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“…Many of the traditional approaches to intrusion detection consist of a two-step approach: In the first step, a profile is created to characterize intruder behavior. In the second phase, while the network is operating, the observed behavior is compared with what has been catalogued and flagged if it matches catalogued abnormal behavior [2], [3], [4] or if it deviates from catalogued normal behavior [5], [6]. Overall, the literature in sensor network intrusion detection can be divided according to what they protect.…”

Section: B Related Workmentioning

confidence: 99%

“…The resources typically targeted and protected include: data packets that can be maliciously dropped or changed [4], communication paths that can be intercepted and broken [3], communication signals that can be interfered with [7], normal behavior that can be diverted by intrusion nodes [5], and data routing paths [8]. These approaches tend to be demanding in terms of storage and computation, the patterns that they catalog tend to be generic and not very effective in the very specialized, application specific context of sensor networks [2]. The issue of performance has been partially addressed by distributing the work among nodes and optimizing the code required to identify intruders [9], [10], [11], [12].…”

Section: B Related Workmentioning

confidence: 99%

Economic-based vs. nature-inspired intruder detection in sensor networks

Mili

Ghanekar

Alrajei

2008

2008 Third International Conference on Risks and Security of Internet and Systems

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Protecting computer networks from accidental and malicious harm is a critical issue. Researchers have sought a variety of solutions ranging from the purely statistical approach to approaches inspired from a variety of fields such as economics and biology. In this paper, we focus on the issue of intruder detection and propose two complementary approaches, one economicsbased, the other biology-inspired. We discuss the effectiveness of these two approaches put together as compared to each one alone based on Matlab simulations.

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Wireless sensor networks for intrusion detection: packet traffic modeling

Cited by 62 publications

References 3 publications

Packet Flow Rate to Protect Wireless Sensor Networks from Wormhole and Hello Flood Attacks

Packet Flow Rate to Protect Wireless Sensor Networks from Wormhole and Hello Flood Attacks

Research of Traffic Modeling for Future Wireless Networks

Economic-based vs. nature-inspired intruder detection in sensor networks

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