Fully selfish node detection, deletion and secure replica allocation over MANET

Muthumalathi, N.; Raseen, Mohamed

doi:10.1109/icctet.2013.6676000

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…The detection rate is also confirmed to be superior than the compared evidence and cooperation enforcing approaches. A Secure Reputation Assisting Fully Selfish Node detection (SRA-FSND) is propounded for evaluating the influence of partial and fully selfish nodes [18]. This SRA-FSND scheme proves to focus on the Secure Hill Cipher Technique (SHCT) for ensuring effective memory space utilization in the network.…”

Section: Related Workmentioning

confidence: 99%

Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs

Janakiraman¹,

Priya²

2023

EAI Endorsed Trans Energy Web

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The trustworthiness of mobile nodes is considered as the principal parameter for ensuring significant data dissemination in a Mobile Ad hoc NETwork (MANET). However, the selfish behaviour of nodes minimizes the trust by dropping a considerable amount of data packets in the network. The significant dropping of data packets by the selfish node introduces huge data overhead with increased latency and energy consumption, thus increasing the number of retransmissions. In this paper, Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor (SNDS-BDITF) is propounded for predominant detection of selfish behaviour by investigating multiple levels of factors that contribute towards effective selfishness detection. The proposed SNDS-BDITF approach is also potent in enhancing the detection rate of selfishness by multi-perspective analysis of each monitored node’s forwarding characteristics considering the benefits of other cooperating mobile nodes. The simulation results of the propounded SNDS-BDITF method are enhanced on an average by 16% and 14% when compared to the existing selfish node segregation mechanisms prevalent in the literature.

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Section: Related Workmentioning

confidence: 99%

Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs

Janakiraman¹,

Priya²

2023

EAI Endorsed Trans Energy Web

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“…Muthumalathi and Raseen [17] present to limit execution degradation. In the event that the nodes in MANET consists of adequate memory space for holding imitations and also some of the nodes act as the simple form and also chosen to collaborate with each other.…”

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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“…e authors proposed an efficient replica allocation to detect partial selfishness in the network, and the novel can help the replica allocation technique deal with partial selfishness [17,[73][74][75][76].…”

Section: Hybrid and Specification Mechanismmentioning

confidence: 99%

“…During updating the matrices, nodes can modify behavior that observers apply based on the behavior of the nodes in the matrix of its overall reputation. e reputation matrix of the entire grid is then published by observers in the relevant monitoring area so that local nodes ICARUS [72] Replica-methods [17,[73][74][75][76] Two-phases methods [77] QOS-OLSR [78] Automatedmethods [79] RCM [80] SDM [81] Green-approach [82] Smart-method [83] CoCowa [84] TEEM [18] Conjectural based Framework [85] reputationbased epidemic [86] Token-Based [34] RRR [87] can use it for reliable selection. Suppose the node's reputation value is less than the threshold reputation.…”

Section: Hybrid and Specification Mechanismmentioning

confidence: 99%

Detecting Noncooperation Nodes Mechanisms in Wireless Networks: A Survey

Nobahary

Garakani

Khademzadeh

2022

Security and Communication Networks

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Wireless networks face security problems compared with traditional wired networks. In wireless networks such as wireless sensor networks (WSNs), mobile ad hoc networks (MANETs), vehicular ad hoc networks (VANETs), and the internet of things (IoT), nodes have limited radio bandwidth and power supply then. They require cooperation in sending messages. It increases the motivation of nodes not to cooperate in such networks. This paper reviews different methods for identifying and stimulating nodes for focused cooperation. The performance of each method, its advantages, and its disadvantages have been reviewed and functionally categorized and compared with the metrics of false positive/negative rate and detection accuracy, throughput, and other metrics.

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Fully selfish node detection, deletion and secure replica allocation over MANET

Cited by 9 publications

References 5 publications

Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs

Selfish Node Detection Scheme based on Bates Distribution Inspired Trust Factor for MANETs

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

Detecting Noncooperation Nodes Mechanisms in Wireless Networks: A Survey

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