A vote based system to detect misbehaving nodes in MANETs

Talreja, Rahul; Jethani, Vimla

doi:10.1109/iadcc.2014.6779355

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…Talreja and Jethani [20] present a MANET that is a remote system in which nodes can act as sender/recipients or as intermediaries such as switches. Nodes in a MANET may become overly aggressive in order to save resources.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Panatula¹,

Naidu²,

Swaroopa

et al. 2022

Wireless Communications and Mobile Computing

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The mobile nodes are infrequent movement in nature; therefore, its packet transmission is also infrequent. Packet overload occurred for routing process, and data are lossed by receiver node, since hackers hide the normal routing node. Basically, the hidden node problem is created based on the malicious nodes that are planned to hide the vital relay node in the specific routing path. The packet transmission loss occurred for routing; so, it minimizes the packet delivery ratio and network lifetime. Then, proposed enhanced self-organization of data packet (EAOD) mechanism is planned to aggregate the data packet sequencially from network structure. The hacker node present in routing path is easy to separate from network with trusty nodes. In order to secure the regular characteristics of organizer node from being confirmed as misbehaving node, the hidden node detection technique is designed for abnormal routing node identification. This algorithm checks the neighboring nodes that are hacker node, which hide the trust node in the routing path. And that trust nodes are initially found based on strength value of every node and assign path immediately. It increases network lifetime and minimizes the packet loss rate.

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Section: Related Workmentioning

confidence: 99%

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Panatula¹,

Naidu²,

Swaroopa

et al. 2022

Wireless Communications and Mobile Computing

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show abstract

“…A node may exhibit different forms of misbehaviour with an objective of conserving its resources. Such kind of misbehaviour or security threats can paralyse or may completely disrupt the network operations [6]. Networks similar to MANETs, like wireless sensor networks can also be affected by such security threats [7][8] [9].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Security Model for Dynamic Node Behaviour in MANE

2018

KSII TIIS

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Mobile Ad hoc Networks (MANETs) have become a viable platform owing to their potential of providing communication without any pre-existing infrastructure and central administrating authority. Mutual support and co-operation among nodes are prerequisites for performing functions in such networks. The scarcity of resources makes it economical for nodes to conserve their resources and misbehave by avoiding participation in the network. Therefore, a mechanism is required to detect and handle such misbehaving nodes and promote co-operation in the network. Existing techniques for handling misbehaving nodes focus only on their current behaviour without considering the antecedent behaviour of nodes. In real world, a node may dynamically change its behaviour in accordance to its requirements. Hence, an efficient mechanism is required for providing security against such misbehaviour. This paper proposes an Adaptive Security Model which contemplates the present as well as anterior behaviour of nodes for providing security against dynamic node behaviour. The adaptivity of the model is nested in its ability to requite well-behaving nodes and penalize misbehaving ones in conformity with their overall behaviour. Simulation results indicate the efficiency of proposed scheme in securing the network from the menace of dynamic behaviour of nodes.

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An efficient secure detection and prevention of malevolent nodes with lightweight surprise check scheme using trusted mobile agents in mobile ad-hoc networks

Aranganathan

Suriyakala

2018

J Ambient Intell Human Comput

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A vote based system to detect misbehaving nodes in MANETs

Cited by 7 publications

References 5 publications

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

An Adaptive Security Model for Dynamic Node Behaviour in MANE

An efficient secure detection and prevention of malevolent nodes with lightweight surprise check scheme using trusted mobile agents in mobile ad-hoc networks

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