A Comprehensive Survey on Anomaly-Based Intrusion Detection in MANET

Kheyri, Davood; Karami, Mojtaba

doi:10.5539/cis.v5n4p132

Cited by 7 publications

(8 citation statements)

References 29 publications

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“…The work in [15] comprehensively surveys the anomaly based intrusion detection techniques with advantages, and disadvantages. Further, it evaluates the performance of anomaly-based IDSs.…”

Section: Anomaly Based Ids Techniquesmentioning

confidence: 99%

An Anomaly-Based Intrusion Detection System with Multi-Dimensional Trust Parameters for Mobile Ad Hoc Network

Yeruru¹,

Rangaswamy²

2017

IJIES

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Abstract:The distinctive aspect of Mobile Ad Hoc Networks (MANETs), including dynamic network topology, susceptible wireless medium, limited battery power, network overhead are highly vulnerable and remains as major issues in designing Intrusion Detection Systems (IDS). This paper proposes a framework of Anomaly IDS with Subjective logic based Trust (AID-ST) system to discern and eradicate the intruders from the network. AID-ST system incorporates multi-dimensional trust parameters and subjective logic theory to effectively detect and confirm the attack behavior. The system measures indirect trust of a node using subjective logic theory, and IDS estimates trustworthiness of a suspected node by collecting and combining the evidence from various observers. The simulation results depict that the AID-ST attains high performance in terms of detection accuracy, overhead, and energy consumption when compared to existing AIPD AODV.

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“…The work in [15] comprehensively surveys the anomaly based intrusion detection techniques with advantages, and disadvantages. Further, it evaluates the performance of anomaly-based IDSs.…”

Section: Anomaly Based Ids Techniquesmentioning

confidence: 99%

An Anomaly-Based Intrusion Detection System with Multi-Dimensional Trust Parameters for Mobile Ad Hoc Network

Yeruru¹,

Rangaswamy²

2017

IJIES

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“…The comparison can determine whether there is a partition between normal and unusual behaviors, and the unusual behavior is considered as an active or potential attack, which depends on the level of differences. Three common techniques supporting comparisons include statistical‐based , knowledge‐based, and machine learning‐based techniques .…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

“…Statistical‐based technique tracks all networking traffics and generates a profile examining whether there are any improper traffic by a statistical analysis . The statistics are formulated by evaluating the correlations among the defined parameters, such as ports and devices, traffic rates, packets connecting to each protocol, and Internet Protocol addresses.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

Intrusion detection techniques for mobile cloud computing in heterogeneous 5G

Gai

Qiu

Tao

et al. 2015

Security Comm. Networks

148

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Mobile cloud computing is applied in multiple industries to obtain cloud‐based services by leveraging mobile technologies. With the development of the wireless networks, defending threats from wireless communications have been playing a remarkable role in the Web security domain. Intrusion detection system (IDS) is an efficient approach for protecting wireless communications in the Fifth Generation (5G) context. In this paper, we identify and summarize the main techniques being implemented in IDSs and mobile cloud computing with an analysis of the challenges for each technique. Addressing the security issue, we propose a higher level framework of implementing secure mobile cloud computing by adopting IDS techniques for applying mobile cloud‐based solutions in 5G networks. On the basis of the reviews and synthesis, we conclude that the implementation of mobile cloud computing can be secured by the proposed framework because it will provide well‐protected Web services and adaptable IDSs in the complicated heterogeneous 5G environment. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Another similar survey on anomaly-based intrusion detection techniques for MANET was undertaken by Kheyri and Karami [28], although the survey focused only on detection methods, rather than feature profiling and modelling (which is the focus of this paper). Patcha and Park [29] propose a generic IDS architectural design, as well as investigating existing detection techniques used in anomaly detection, but user profiling is not included in their survey.…”

Section: Introductionmentioning

confidence: 97%