Tracing the Abnormal Behavior of Malicious Nodes in MANET

Karjee, Jyotirmoy; Banerjee, Subhashis

doi:10.1109/wicom.2008.1165

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…The incorporated properties of the MANET system are the sole reason for quality of services too. Although various work like [28] [29], [30], etc has addresses the routing security, but it failed to address specifically more critical issues like channel capacity (packet delivery ratio, bandwidth, jitter, delay etc). It can be easily seen from all these above mentioned work that although the optimal security is established, but it has no positive effect on QoS parameters.…”

Section: Quality Of Service (Qos)mentioning

confidence: 99%

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

Krishnappa

Babu²

2015

IJECE

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<span>The area of Mobile Adhoc Network (MANET) has being a demanded topic of research for more than a decade because of its attractive communication features associated with various issues. This paper primarily discusses on the security issues, which has been still unsolved after abundant research work. The paper basically stresses on the potential features of Swarm Intelligence (SI) and its associated techniques to mitigate the security issues. Majority of the previous researches based on SI has used Ant Colony Optimization (ACO) or Particle Swarm Optimization (PSO) extensively. Elaborated discussion on SI with respect to trust management, authentication, and attack models are made with support of some of the recent studies done in same area. The paper finally concludes by discussing the open issues and problem identification of the review.</span>

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Section: Quality Of Service (Qos)mentioning

confidence: 99%

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

Krishnappa

Babu²

2015

IJECE

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“…In this way, it becomes obligatory to characterize the typical and malicious behavior of a node. [9]. An intruder exploits the vulnerabilities displays in the ad hoc network and attacks the node which breaks the security standards.…”

Section: Introductionmentioning

confidence: 99%

Malicious Node Detection on Routing Via Certificate Authority and Optimal Fuzzy for Wireless Ad-Hoc Network

K*¹,

Jeyakumar²

2019

IJRTE

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Wireless Ad-Hoc network has a set of nodes which designed with wireless transceivers. These nodes communicate with each other by accessing the common channel. In the ad-hoc network, security is one of the main challenges. Due to the behavior of malicious nodes, the security of the network is compromised. So, the major objective of this paper is to improve the security of the network by combining both malicious node detection and cryptography techniques. In this paper, an optimized fuzzy system is presented for the detection of malicious nodes which are malfunctioning in the routing path between source and destination. To optimize the performance of the fuzzy system, Particle Swarm Optimization (PSO) algorithm is presented. After the detection of malicious nodes, each normal behavior node in the network is authenticated by the Certificate Authority (CA). Then the authenticated nodes transmit the data packets to the destination with the Elliptic Curve Cryptography (ECC) algorithm. Simulation results show that the performance of the optimized fuzzy system is improved than that of the conventional fuzzy system for malicious node detection in terms of delivery ratio, detection time and energy efficiency

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Optimal Node Selection Using Estimated Data Accuracy Model in Wireless Sensor Networks

Karjee

Jamadagni

2012

Lecture Notes in Electrical Engineering

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One of the major task of wireless sensor network is to sense accurate data from the physical environment. Hence in this paper, we develop an estimated data accuracy model for randomly deployed sensor nodes which can sense more accurate data from the physical environment. We compare our results with other information accuracy models and shows that our estimated data accuracy model performs better than the other models. Moreover we simulate our estimated data accuracy model under such situation when some of the sensor nodes become malicious due to extreme physical environment. Finally using our estimated data accuracy model we construct a probabilistic approach for selecting an optimal set of sensor nodes from the randomly deployed maximal set of sensor nodes in the network.

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Tracing the Abnormal Behavior of Malicious Nodes in MANET

Cited by 8 publications

References 12 publications

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

Malicious Node Detection on Routing Via Certificate Authority and Optimal Fuzzy for Wireless Ad-Hoc Network

Optimal Node Selection Using Estimated Data Accuracy Model in Wireless Sensor Networks

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