Outwitting smart selfish nodes in wireless mesh networks

Chong, Zan-Kai; Tan, Su Wei; Goi, Bok‐Min; Ng, Bryan

doi:10.1002/dac.1388

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…It introduces a robust multi-agent and multi-layer game-based approach to identify both the selfish ( ) and malicious nodes ( ) and minimizes the possibilities of attacks in IoT communication layers. The security model is constructed based on the combined paradigm of reputation-based strategy [13] and game theory modeling [14]. The prime reason behind adopting these strategies is that various research approaches in the IoT security domain directed their research approach with these strategies.…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

et al. 2020

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The current era of smart computing and enabling technologies encompasses the Internet of Things (IoT) as a network of connected, intelligent objects where objects range from sensors to smartphones and wearables. Here, nodes or objects cooperate during communication scenarios to accomplish effective throughput performance. Despite the deployment of large-scale infrastructure-based communications with faster access technologies, IoT communication layers can still be affected with security vulnerabilities if nodes/objects do not cooperate and intend to take advantage of other nodes for fulfilling their malevolent interest. Therefore, it is essential to formulate an intrusion detection/prevention system that can effectively identify the malicious node and restrict it from further communication activities-thus, the throughput, and energy performance can be maximized to a significant extent. This study introduces a combined multi-agent and multilayered game formulation where it incorporates a trust model to assess each node/object, which is participating in IoT communications from a security perspective. The experimental test scenarios are numerically evaluated, where it is observed that the proposed approach attains significantly improves intrusion detection accuracy, delay, and throughput performance as compared to the existing baseline approaches.

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Section: Introductionmentioning

confidence: 99%

A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

et al. 2020

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“…We consider this an important step toward error detection systems with the possibility of variable trade‐off, so that trade‐off between error detection performance and energy cost can reflect current operational needs. With recent developments in the context of the ‘Internet of Things’ , increased dissemination of wireless sensor networks may be expected and error/behavior detection and fault tolerance are essential .…”

Section: Introductionmentioning

confidence: 99%

Evaluating trade‐offs in energy‐efficient error detection

Rokicki

Drozda

2015

Int J Communication

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SUMMARYDue to the fact that in well-engineered systems, normal behavior is the dominant case, it is necessary that normal behavior can be recognized in an energy-efficient way. When cascading classification is applied, the task of the first classifier is to impose energy efficiency, whereas the task of the other classifier (or classifiers) is to provide false positives control. Adaptivity to novel or re-occurring errors can be in this setup carried out by including a feedback loop enabling that the first classifier improves its capability to recognize normal behavior. However, in order to sustain adaptivity, it is necessary to provide the feedback loop with some minimum number of instances from both behavior classes. This results in a trade-off between energy efficiency and error detection performance. In order to obtain a trade-off that is suitable in a given situation, it is necessary that a methodology for comparing trade-offs across qualitatively different types of error detection approaches is available. Therefore, we propose and evaluate an approach for comparing trade-offs that is based on iso-performance lines. In addition, we also propose and evaluate several modifications to k-nearest neighbor and decision tree classifiers, so that different grades of trade-offs can be obtained.

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“…In a MANET, a number of mobile devices communicate with each other without any fixed infrastructure or central authority. A detection framework called separation of detection authority was proposed in [4] for detecting selfish nodes on MANETs. However, many applications need secured communication [1].…”

Section: Introductionmentioning

confidence: 99%

“…Authors in [3] proposed a two-layer INS concept to secure routing protocols. A detection framework called separation of detection authority was proposed in [4] for detecting selfish nodes on MANETs. Malicious attacks can be launched at any layer of the Open Systems Interconnection protocol models: physical layer like physical signal jamming, data link layer like affecting the medium access control operation, network layer by attacking the routing and data forwarding, or application layer for targeting one particular type of application.…”

Section: Introductionmentioning

confidence: 99%

Topological comparison‐based wormhole detection for MANET

Chan

Alam

2012

Int J Communication

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Wormhole attack is considered one of the most threatening security attacks for mobile ad hoc networks. In a wormhole attack, a tunnel is setup in advance between two colluders. The colluders record packets at one location and forward them through the tunnel to another location in the network. Depending on whether or not the colluders are participating in the network functions, the wormhole attack can be further divided into two categories: traditional wormhole attack and Byzantine wormhole attack. Existing researches focusing on detecting traditional wormhole attacks can be classified into three categories: one-hop delay-based approach, topological analysis-based or special hardware/middleware-based approaches. Unfortunately, they all have their own limitations. Most of the researches detecting Byzantine wormhole attack are not addressing the Byzantine wormhole attack directly. Instead, they focus on observing the consequence after a Byzantine wormhole attack, like packet dropping or modification. In this paper, we propose to detect both traditional and Byzantine wormhole attacks by detecting some topological anomalies introduced by wormhole tunnels. Simulation results show that our scheme can achieve both high wormhole attack detection rate and accuracy. Our scheme is also simple to implement.

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Outwitting smart selfish nodes in wireless mesh networks

Cited by 10 publications

References 8 publications

A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

A Novel Multi-Agent and Multilayered Game Formulation for Intrusion Detection in Internet of Things (IoT)

Evaluating trade‐offs in energy‐efficient error detection

Topological comparison‐based wormhole detection for MANET

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