A Combined Solution for Routing and Medium Access Control Layer Attacks in Mobile Ad Hoc Networks

Murugan, R.; Shanmugam, A.

doi:10.3844/jcssp.2010.1416.1423

Cited by 12 publications

(12 citation statements)

References 13 publications

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“…The drawbacks related to the quality of service (QoS) in MANET are bandwidth limitations, vibrant and non-predictive topology and the limited processing and minimum storage of mobile nodes (Murugan and Shanmugam, 2010). MANETs introduce various security risks due to their open communication medium, node mobility, lack of centralised security services, and lack of prior security association.…”

Section: Manetmentioning

confidence: 99%

Support vector machine and fuzzy-based intrusion detection and prevention for attacks in MANETs

Lakshmi¹,

Valluvan²

2015

IJMNDI

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In mobile ad hoc networks, the isolation of critical routing nodes may affect the routes and re-routing that result in significant routing disruption. This in turn degrades the network performance considerably. The existing anomaly-based detection and prevention technique does not involve any standard training technique like neural networks, support vector machines (SVMs) and so on. In order to overcome these issues, in this paper, it is proposed to design a SVM and fuzzy-based intrusion detection and prevention for MANET attacks. Initially, the nodes with the maximum stability index are chosen as cluster heads (CH) and the other nodes become cluster members (CM). The secure communication is established between CH and CMs. Then a support vector machine is utilised to distinguish misbehaving nodes from well-behaved nodes. Then fuzzy rules are used to isolation of misbehaving nodes to prevent intrusion. By simulation result, it is shown that the proposed technique enhances the network performance. 'Implementation of ADALINE on DSP and FPGA for measurement of harmonics'. He has completed more than 30 industrial consultancy projects in embedded systems, power quality studies and energy conservation. His areas of interest are embedded systems, neuro-fuzzy systems, power quality improvement and energy conservation.

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Section: Manetmentioning

confidence: 99%

Support vector machine and fuzzy-based intrusion detection and prevention for attacks in MANETs

Lakshmi¹,

Valluvan²

2015

IJMNDI

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“…In our previous work [8], we have developed a combined solution for routing and MAC layer attacks. Our approach, make use of three techniques simultaneously which consists of a cumulative frequency based detection technique for detecting MAC layers attacks, data forwarding behavior based detection technique for detecting packet drops and MAC based authentication technique for packet modification.…”

Section: A Node Capture Attacksmentioning

confidence: 99%

Trust Count Based Authentication Technique for Mitigation of Internal Attacks in MANET

Murugan¹,

Shanmugam²

2012

IJMLC

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Abstract-The wireless nature and inherent features of mobile ad hoc networks make them vulnerable to a wide variety of attacks. In an internal attack, the attacker gains the normal access to the network and takes part in the network activities, either by some malicious impersonation to get the access to the network as a new node, or by directly compromising a current node and using it as a basis to conduct its malicious behaviors. In this paper, we develop a cluster based authentication technique to mitigate the internal attacks. The entire network is divided into hierarchical group of clusters, each cluster having a fully trusted cluster head. Each node holds a certificate issued by an offline certificate authority (CA). The Trust Count (TC) for each of the nodes can be estimated periodically for every trust evaluation interval (TEI), based on their access policy (AP). The certificate of a node is renewed or rejected by the cluster head, based on its trust counter value. By simulation results, we show that our proposed technique provides better packet delivery ratio and resilience against node capture.

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“…These networks have also been used in private areas and home networking, "location-based" services, sensor networks and many more services based on MANET [1,2].…”

Section: Manetmentioning

confidence: 99%

MAC Layer Based Certificate Authentication for Multiple Certification Authority in MANET

Sekhar¹,

Prasad²

2014

IEIE Transactions on Smart Processing and Computing

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Abstract:In this study, a novel Randomly Shifted Certification Authority Authentication protocol was used in ad hoc networks to provide authentication by considering the MAC layer characteristics. The nodes achieve authentication through the use of public key certificates issued by a CA, which assures the certificate's ownership. As a part of providing key management, the active CA node transfers the image of the stored public keys to other idle CA nodes. Finally the current active CA randomly selects the ID of the available idle CA and shifts the CA ownership by transferring it. Revoking is done if any counterfeit or duplicate non CA node ID is found. Authentication and integrity is provided by preventing MAC control packets, and Enhanced Hash Message Authentication Code (EHMAC) can be used. Here EHMAC with various outputs is introduced in all control packets. When a node transmits a packet to a node with EHMAC, verification is conducted and the node replies with the transmitter address and EHMAC in the acknowledgement.

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A Combined Solution for Routing and Medium Access Control Layer Attacks in Mobile Ad Hoc Networks

Cited by 12 publications

References 13 publications

Support vector machine and fuzzy-based intrusion detection and prevention for attacks in MANETs

Support vector machine and fuzzy-based intrusion detection and prevention for attacks in MANETs

Trust Count Based Authentication Technique for Mitigation of Internal Attacks in MANET

MAC Layer Based Certificate Authentication for Multiple Certification Authority in MANET

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