FORK: A novel two-pronged strategy for an agent-based intrusion detection scheme in ad-hoc networks

Ramachandran, Chandrasekar; Misra, Sudip; Obaidat, Mohammad S.

doi:10.1016/j.comcom.2008.04.012

Cited by 44 publications

(15 citation statements)

References 13 publications

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“…Ramachandran et al . presented a two‐tier, multi‐agent‐based IDS called FORK that uses Ant‐Miner algorithm with aim to reduce battery consumption while running the intrusion detection process. Figure represents the operational structure of FORK.…”

Section: Intrusion Detection Techniquesmentioning

confidence: 99%

“…The first challenge in specification‐based IDS is to transform the functioning of sophisticated system into a formal model accurately in order to minimize the false alarms, and second challenge is to design a scheme (language/UML) for expressing the formal model. Multi‐dimensional trust: Using multi‐dimensional trust for intrusion detection is relatively unexplored in designing IDS for MANETs but requires much attention because it increases the dataset to an IDS. A preliminary work presented in threw light on how to apply multi‐dimensional trust to intrusion detection for MANET. Computational complexity: Most of the proposed systems cause high computational costs inherent to the design of their detection mechanism. So, IDSs should take into account the availability of limited resources in MANETs.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

See 1 more Smart Citation

Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

Kumar

Dutta

2016

Security Comm Networks

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In recent years, Mobile Ad hoc NETworks (MANETs) have generated great interest among researchers in the development of theoretical and practical concepts, and their implementation under several computing environments. However, MANETs are highly susceptible to various security attacks due to their inherent characteristics. In order to provide adequate security against multi-level attacks, the researchers are of the opinion that detection-based schemes should be incorporated in addition to traditionally used prevention techniques because prevention-based techniques cannot prevent the attacks from compromised internal nodes. Intrusion detection system is an effective defense mechanism that detects and prevents the security attacks at various levels. This paper tries to provide a structured and comprehensive survey of most prominent intrusion detection techniques of recent past and present for MANETs in accordance with technology layout and detection algorithms. These detection techniques are broadly classified into nine categories based on their primary detection engine/(s). Further, an attempt has been made to compare different intrusion detection techniques with their operational strengths and limitations. Finally, the paper concludes with a number of future research directions in the design and implementation of intrusion detection systems for MANETs.

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Section: Intrusion Detection Techniquesmentioning

confidence: 99%

Section: Open Issues and Challengesmentioning

confidence: 99%

Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

Kumar

Dutta

2016

Security Comm Networks

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“…Our scheme is fully distributed and in this scheme, each node individually detects the behavior of the other nodes based on the observation history. Similarly, many other misbehavior detection schemes exist for mobile ad hoc networks [4][5][6][7][8], which detect routing misbehavior and mitigate them. However, these works are not suitable for OMNs due to the existence of strong intermittent inter-node connectivity.…”

Section: Introductionmentioning

confidence: 99%

DISIDE: Distributed strategy identification in opportunistic mobile networks

Pal

Misra

2015

Computer Communications

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“…The results show that the proposed system is better at detecting and classifying DoS and U2R attacks than the three layer hierarchy of SOMs. Ramachandran C et al [25] has proposed a FORK: A novel two-pronged strategy for an agent-based intrusion detection scheme in ad-hoc networks. Proposed method is effect ive in terms of the accuracy of rules fo rmed and the simp licity in the content of the rules.…”

Section: Powers S T Et Al [24]mentioning

confidence: 99%

Data Mining in Intrusion Detection: A Comparative Study of Methods, Types and Data Sets

Azad

Jha²

2013

IJITCS

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Abstract-In the era of info rmation and communicat ion technology, Security is an important issue. A lot of effort and finance are being invested in this sector. Intrusion detection is one of the mos t prominent fields in this area. Data min ing in network intrusion detection can automate the network intrusion detection field with a greater efficiency. This paper presents a literature survey on intrusion detection system. The research papers taken in this literature survey are published fro m 2000 to 2012. We can see that almost 67 % of the research papers are focused on anomaly detection, 23 % on both anomaly and misuse detection and 10 % on misuse detection. In this literature survey statistics shows that 42 % KDD cup dataset, 20 % DA RPA dataset and 38 % other datasets are used by the different researchers for testing the effectiveness of their proposed method for misuse detection, anomaly detection or both.

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FORK: A novel two-pronged strategy for an agent-based intrusion detection scheme in ad-hoc networks

Cited by 44 publications

References 13 publications

Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges

DISIDE: Distributed strategy identification in opportunistic mobile networks

Data Mining in Intrusion Detection: A Comparative Study of Methods, Types and Data Sets

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