IDMTM: A Novel Intrusion Detection Mechanism Based on Trust Model for Ad Hoc Networks

Wang, Furong; Huang, Chen; Zhao, Jing; Rong, Chunming

doi:10.1109/aina.2008.124

Cited by 28 publications

(11 citation statements)

References 5 publications

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“…There are several additional issues that should be further studied in the future researches. Some of the most challenging proposed topics of these issues are as follows: security analyses of TMS‐HCW, finding its security vulnerabilities and improving them; discussing the methods for selfishness detection; improving the TMS‐HCW by adding an intrusion detection system (IDS) on the trustworthy nodes in the sensitive points of the hierarchical clustered WSN like CHs for analyzing the security status of the cluster's members; improving the TMS‐HCW by adding the capabilities of IDS in it; that is, combining the capabilities of TMSs and IDSs together, like IDMTM and TEREC , of course specifically for WSNs; discussing the effect of the clusters' size and the trust updating interval on the TMS‐HCW's performance and the hierarchical clustered WSN's lifetime; and investigating the feasibility of applying TMS‐HCW to the hierarchical routing protocols in clustered WSNs. …”

Section: Discussionmentioning

confidence: 99%

TMS‐HCW: a trust management system in hierarchical clustered wireless sensor networks

Jadidoleslamy

2015

Security Comm Networks

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Hierarchical clustered wireless sensor networks (WSNs) usually consist of many tiny sensor nodes, cluster heads, and the Sink. Problems like insecure operational environments, nodes' misbehavior, and improper selection of peer nodes lead to significantly degrade the overall performance of WSNs and their vulnerability to many attacks. In another direction, WSNs often have vital and crisis duties, and most of the traditional security mechanisms are unsuitable for them. So, security is a vital and complex requirement for WSNs to improve their performance. One significant security solution is trust management system (TMS). TMS enhances the security by verifying the untrustworthy nodes; it also improves the cooperation among nodes and increases the network performance. But, TMS is a highly challenging issue in WSNs because of high overhead and computational complexity, limited resources, nodes' high density, dynamic topology, and nodes' mobility. As a result, this paper proposes a highly scalable TMS for hierarchical clustered WSNs, called TMS‐HCW. In TMS‐HCW, each cluster head calculates the trustworthiness of its cluster's members, verifies the untrustworthy members, and removes them from the WSN's processes. TMS‐HCW is different from other existing TMSs in terms of trustworthiness calculation criteria, trustworthiness calculation procedure, and trustworthiness forecasting capability. TMS‐HCW combines the past misbehavior with the current status in a comprehensive way to obtain the robust trust values; it also uses the statistical quantitative methods with high accuracy in the trustworthiness forecasting process. The performance of TMS‐HCW is compared with the performance of Group‐based trust management scheme for clustered wireless sensor networks (GTMS) and PowerTrust TMSs; simulation results and theoretical statistical analyses indicate that TMS‐HCW is improved in terms of energy consumption, accuracy, traffic overhead, and scalability and fault tolerance. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

TMS‐HCW: a trust management system in hierarchical clustered wireless sensor networks

Jadidoleslamy

2015

Security Comm Networks

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“…In the literature, few contributions combine trust and intrusion detection together. Wang et al [5] proposed an intrusion detection mechanism based on trust (IDMTM). This work considered both evidence chain (main malicious behavior forms) and trust fluctuation.…”

Section: A Intrusion Detection Trust Management and Game Theorymentioning

confidence: 99%

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Bradai

Afifi

2013

2013 International Conference on Social Computing

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Host-Based Intrusion Detection Systems (HIDS) have been widely used to detect malicious behaviors of nodes in heterogenous networks. Collaborative intrusion detection can be more secure with a framework using reputation aggregation as an incentive. The problem of incentives and efficiency are well known problems that can be addressed in such collaborative environment. In this paper, we propose to use game theory to improve detection and optimize intrusion detection systems used in collaboration. The main contribution of this paper is that the reputation of HIDS is evaluated before modeling the game between the HIDS and attackers. Our proposal has three phases: the first phase builds reputation evaluation between HIDS and estimates the reputation for each one. In the second phase, a proposed algorithm elects a leader using reputation value to make decisions. In the last phase, using game theory the leader decides to activate or not the HIDS for optimization reasons.

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“…Therefore, novel address this kind of problems. security is to provide security intrusion detection [8,9], 1], access control [12], and nodes for effective routing [13, ATED WORK ective risk management which nder uncertainty and usefulness wn entity [16]. This section ed approaches used for gathering e trust.…”

Section: Trust Management In Manetsmentioning

confidence: 99%

Addressing packet forwarding misbehaviour using trust-based approach in Ad-hoc networks: A survey

Gandhi¹,

Jhaveri²

2015

2015 International Conference on Signal Processing and Communication Engineering Systems

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Mobile ad hoc networks (MANETs) are spontaneously deployed over a geographically limited area without wellestablished infrastructure. In a distributed Mobile Ad Hoc Network (MANET), collaboration and cooperation is critical concern to managing trust. The networks work well only if the mobile nodes are trusty and behave cooperatively. Due to the openness in network topology and absence of a centralized administration in management, MANETs are very vulnerable to various attacks from malicious nodes. In order to reduce the hazards from such nodes and enhance the security of network, trust-based model is used to evaluate the trustworthiness of nodes. Trust-based approach provides a flexible and feasible approach to choose the shortest route that meets the security requirement of data packets transmission. This paper focuses on trust management with their properties and provides a survey of various trust-based approaches and it proposes some novel conceptions on trust management in MANETs.

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IDMTM: A Novel Intrusion Detection Mechanism Based on Trust Model for Ad Hoc Networks

Cited by 28 publications

References 5 publications

TMS‐HCW: a trust management system in hierarchical clustered wireless sensor networks

TMS‐HCW: a trust management system in hierarchical clustered wireless sensor networks

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Addressing packet forwarding misbehaviour using trust-based approach in Ad-hoc networks: A survey

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