Detecting and Mitigating Smart Insider Jamming Attacks in MANETs Using Reputation-Based Coalition Game

Sharah, Ashraf Al; Oyedare, Taiwo; Shetty, Sachin

doi:10.1155/2016/4289176

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Al Sharah 35 proposed a novel reputation‐based coalition game in MANETs to detect and mitigate insider jamming attacks. Since there is no centralized controller in MANETs, the nodes rely heavily on availability of transmission rates and a reputation for each individual node in the coalition to detect the presence of internal jamming node.…”

Section: Related Workmentioning

confidence: 99%

Layering of edge node for jamming attack detection and elimination in wireless sensor network

Murugaveni

Priyalakshmi

2023

Concurrency and Computation

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SummaryWireless sensor network (WSN) is an environmental monitoring system exposing sensor nodes to various attacks. Jamming is an attack that disrupts the entire sensor network and affects the network's life span. The jammer broadcasts the signal at a frequency similar to the broadcast signal to jam the corresponding sensor node. There are many jamming detection schemes that only detect the jamming node, but they do not focus on eliminating the node that is not jamming. In this article, a novel strategy is used along with optimization to eliminate the disturbance in the sensor network and save the power consumed by nodes. The system uses the edge node, the sub‐edge node, and the cluster head for detection of jamming attack. Hyperbolic optimization is implemented in the cluster to eliminate data transmission failures. The proposed model considers the node's round trip time to detect jamming attacks. The optimization method considers the cluster head as the cluster member based on the probability of jamming in the network. The design is implemented and analyzed in MATLAB platform. As a result, the proposed method has improved the detection accuracy to 11.1% compared with extant techniques.

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Section: Related Workmentioning

confidence: 99%

Layering of edge node for jamming attack detection and elimination in wireless sensor network

Murugaveni

Priyalakshmi

2023

Concurrency and Computation

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“…A reputation-based coalition game-theoretic approach is proposed in [83] to detect and exclude insider jamming attacks on MANETs. In this approach, the nodes rely heavily on the availability of transmission rates and a reputation for each individual node in the coalition to detect the presence of an internal jamming node.…”

Section: E Attacks Detectionmentioning

confidence: 99%

“…Perfect bayesian equilibrium. [78] Non-cooperative Not specified Bayesian game Not specified [74] Non-cooperative Not specified Bayesian game Not specified [9] Non-cooperative Matrix Reactive and proactive game Nash equilibrium [79] Not specified Extensive Dynamic mean field game Not specified [80] Not specified Not specified Not specified Not specified [81] Non-cooperative Not specified Evolutionary game ESS Attacks Detection [82] Non-cooperative Extensive Subgame theory Subgame perfect equilibrium [84] Non-cooperative Matrix Nonzero sum game Nash equilibrium [85] Non-cooperative Matrix Zero-sum stochastic games Nash equilibrium [86] Non-cooperative Matrix Zero-sum Nash equilibrium [88] Non-cooperative Matrix Selfish games Nash's balance [87] Non-cooperative Not specified Bayesian signalling game Perfect nash equilibrium [83] Cooperative Not specified Coalition game Not specified [90] Cooperative Not specified Coalition game Not specified [89] Non-cooperative Matrix Static game Nash equilibrium [91] Non-cooperative Not specified Markov game Not specified…”

Section: Game Model Form Modeling Game Type Concept Solutionmentioning

confidence: 99%

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

Messabih,

Kerrache,

Cheriguene

et al. 2023

IEEE Access

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The issue of cybersecurity has gained significant prominence in the context of safeguarding the privacy and integrity of information, especially with the increasing prevalence of interconnected devices such as Mobile Ad-hoc networks (MANETs). Due to their nature, particularly in light of the unavoidable security flaws that arise from the complexity of current and future systems and services, it is crucial to explore how to prevent cyberattacks efficiently. On the other hand, game theory is one of the most significant methods used in this field. Yet, survey articles that consider game theory for security in MANETs are less common. Therefore, in this paper, we survey the articles related to game theory for security in MANETs, presenting an overview of the basic MANETs concepts and their main vulnerabilities. Also, we will propose a taxonomy for recent works, highlighting the limits of the existing works, and outlining some potential future directions for cybersecurity in Ad-hoc networks.INDEX TERMS Cybersecurity, game theory, intrusion, malicious, Mobile Ad-hoc networks (MANETs).• The first type is an honest node which is interested in establishing communication with other nodes with the

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“…We focus on localizing the jammers after some jammed regions have been detected. So, we do not consider the process of detecting jamming attack (a lot of researches are focused on this technique [4][5][6][7][8][9][10] ).…”

Section: Network Modelmentioning

confidence: 99%

“…The methods to detect the jamming problems have been widely researched by scholars and professions. [4][5][6][7][8][9][10] In addition to these solutions toward the jamming problems, different strategies and techniques which counter the attacks from adversaries, including frequency-hopping spread spectrum (FHSS) and directsequence spread spectrum (DSSS), ultra-wide band (UWB) technology, antenna polarization, and directional transmission methods, have been developed through time. 11 But, these solutions overwhelmingly rely on cryptography, which means the mechanism of key establishment must be decided by consensus in advance.…”

Section: Introductionmentioning

confidence: 99%

Localization of multiple jamming attackers in vehicular ad hoc network

Pang

Chen

Shi

et al. 2017

International Journal of Distributed Sensor Networks

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In vehicular ad hoc network, wireless jamming attacks are easy to be launched in the control channel and can cause serious influence on the network performance which may cause further safety accidents. In order to address the issue of wireless jamming attacks, a new technique which localizes the jamming attackers and prevents vehicles from jamming through human intervention is proposed. In this article, we propose a range-free approach to localize the source of the attacker and determine the number of jamming attackers. The data set is the locating information and the jamming detection information associated with each vehicle. Then, we formulate the problem of determining the number of attackers as a multiclass detection problem. We define the incorrectly classified area and use it to measure the distance between samples and centroids in fuzzy c-means algorithm. We further determine the number of jamming attackers through the coverage rate of beaconing circles and utilize weight-based fuzzy c-means to classify the data set. When the data set is classified as acceptable, we further explore the means of using particle swarm optimization algorithm to calculate the positional coordinates of each attacker. We simulate our techniques in MATLAB, and both urban traffic area and open area are considered in our simulation. The experimental results suggest that the proposed algorithm can achieve high precision when determining the number of attackers while the result of the classified performance is always satisfying. Our localization results lead to higher accuracy than other existing solutions. Also, when the data set is limited, the chances of taking accurate localization are higher than other measures.

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Detecting and Mitigating Smart Insider Jamming Attacks in MANETs Using Reputation-Based Coalition Game

Cited by 6 publications

References 25 publications

Layering of edge node for jamming attack detection and elimination in wireless sensor network

Layering of edge node for jamming attack detection and elimination in wireless sensor network

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

Localization of multiple jamming attackers in vehicular ad hoc network

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