A novel intrusion detection approach for wireless ad hoc networks

Nadkarni, K.; Mishra, Amitabh

doi:10.1109/wcnc.2004.1311294

Cited by 23 publications

(12 citation statements)

References 6 publications

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“…In Threshold Based [8] IDS, audit data analysis of network information along with Threshold Analysis Module to adapt network behavior by varying the threshold to identify attacks, incurs some processing overhead.…”

Section: Processing Overheadmentioning

confidence: 99%

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IDSs based on Stand-alone Architecture for MANET: A Survey

Dhamecha¹,

Upadhyay²,

Trivedi³

2012

IJAIS

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Mobile Ad Hoc Networks (MANETs) are susceptible to a variety of attacks that threaten their operation and the provided services. Intrusion Detection Systems (IDSs) may act as defensive mechanisms, since they monitor network activities in order to detect malicious actions performed by intruders, and then initiate the appropriate countermeasures. IDSs for MANETs have attracted much attention recently and thus, there are many publications that propose new IDS solutions or improvements to the existing. Current IDSs pose challenges on not only capricious intrusion categories, but also huge computational power. Though there are a number of existing literatures to IDS issues, an attempt is made to give a more elaborate image for a comprehensive review on IDSs based on stand-alone architecture for MANETs, because of the uniqueness to identify the attack solely. In addition, the table and the figure summarized in the content contribute to easily grasp the overall picture of stand-alone IDSs along with existing open issues.

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Section: Processing Overheadmentioning

confidence: 99%

“…This affects the detection efficiency [12]. Increasing the node density inThreshold Based [8]slightly decreases the detection accuracy and increases average endto-end delay at the initial time.…”

Section: Traffic / Node Densitymentioning

confidence: 99%

IDSs based on Stand-alone Architecture for MANET: A Survey

Dhamecha¹,

Upadhyay²,

Trivedi³

2012

IJAIS

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“…The energy aspect, when considered, is either used to balance the workload in hierarchical IDSs [6], optimised offline in terms of power consumption of the IDS itself [7], or used as a feature to detect anomalous conditions from suspicious discharge behaviours [8]. With regard to adaptation, some approaches include techniques of tuning the detection thresholds to cope with the changes in the network [9] [10]. On-line energy-based adaptation is not covered in any of the reported approaches.…”

Section: Related Workmentioning

confidence: 99%

Energy-based adaptation in simulations of survivability of ad hoc communication

Raciti

Cucurull

Nadjm‐Tehrani

2011

2011 IFIP Wireless Days (WD)

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Abstract-Mobile wireless handheld devices can support ad hoc communication when infrastructure systems are overloaded or not available. Unfortunately, the constrained capacity of their batteries and the energy inefficiency inherent to the ad hoc communication poses a challenge causing a short lifetime. Protocols and application layer services, such as security, can be designed (offline) to do an efficient use of the resources. Realtime adaptation can further minimise their impact on the energy consumption, increasing the network lifetime thus extending the availability of network communication.In this paper, we propose an energy-aware adaption component for an Intrusion Detection System (IDS) in mobile ad hoc networks (MANET). The component is in charge of adjusting the parameters of the IDS based on the current energy level, using the trade-off between the node's response to attacks and the energy consumption induced by the IDS. The approach is based on a model for accounting CPU energy consumption in network simulation, which has been implemented in an existing IDS in ns-3. Simulations demonstrate that the adaption has a positive impact on the battery life time, increasing it by 14%, without deteriorating the network-wide performance of the IDS.

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“…Intrusion detection techniques are categorized into misuse detection and anomaly detection [17,18]. Misuse detection bases its idea on precedence, rules and misuse detectors that look for behavior which matches the already known attack scenario.…”

Section: Intrusion Detection Challengesmentioning

confidence: 99%

“…The Mobile Intrusion Detection System (MobIDS) [8,10,17] is similar to the other schemes described here. Multiple sensors in the ad-hoc network keep track of observed instances of the nodes' behavior.…”

Section: Related Workmentioning

confidence: 99%

LIDF: Layered intrusion detection framework for ad-hoc networks

Komninos

Douligeris

2009

Ad Hoc Networks

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Abstract-As ad-hoc networks have different characteristics from a wired network, the intrusion detection techniques used for wired networks are no longer sufficient and effective when adapted directly to a wireless ad-hoc network. In this article, first τhe security challenges in intrusion detection for ad-hoc networks are identified and the related work for anomaly detection is discussed. We then propose a layered intrusion detection framework, which consists of collection, detection and alert modules that are handled by local agents. The collection, detection and alert modules are uniquely enabled with the main operations of ad-hoc networking, which are found at the OSI link and network layers. The proposed modules are based on interpolating polynomials and linear threshold schemes. An experimental evaluation of these modules shows their efficiency for several attack scenarios, such as route logic compromise, traffic patterns distortion and denial of service attacks. Permanent repository link

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A novel intrusion detection approach for wireless ad hoc networks

Cited by 23 publications

References 6 publications

IDSs based on Stand-alone Architecture for MANET: A Survey

IDSs based on Stand-alone Architecture for MANET: A Survey

Energy-based adaptation in simulations of survivability of ad hoc communication

LIDF: Layered intrusion detection framework for ad-hoc networks

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