Detecting malicious nodes in MANET using rateless codes for maximum content distribution

Suganthi, N.; Pari, S. Neelavathy

doi:10.1109/icoac.2014.7229731

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Compared to the DSBRM and EEPPM models, the proposed model utilizes much less power. Because all nodes in the proposed model must compute their keys, but only when they deviate from their usual behavior [48][49][50][51][52].…”

Section: Power Consumption Analysismentioning

confidence: 99%

Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

Pari¹,

Sudharson²

2023

Computer Systems Science and Engineering

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A self-contained connection of wireless links that functions without any infrastructure is known as Mobile Ad Hoc Network (MANET). A MANET's nodes could engage actively and dynamically with one another. However, MAN-ETs, from the other side, are exposed to severe potential threats that are difficult to counter with present security methods. As a result, several safe communication protocols designed to enhance the secure interaction among MANET nodes. In this research, we offer a reputed optimal routing value among network nodes, secure computations, and misbehavior detection predicated on node's trust levels with a Hybrid Trust based Reputation Mechanism (HTRM). In addition, the study designs a robust Public Key Infrastructure (PKI) system using the suggested trust evaluation method in terms of "key" generation, which is a crucial component of a PKI cryptosystem. We also concentrate on the solid node authenticating process that relies on pre-authentication. To ensure edge-to-edge security, we assess safe, trustworthy routes to secure computations and authenticate mobile nodes, incorporating uncertainty into the trust management solution. When compared to other protocols, our recommended approach performs better. Finally, we use simulations data and performance evaluation metrics to verify our suggested approach's validity Our approach outperformed the competing systems in terms of overall end-to-end delay, packet delivery ratio, performance, power consumption, and key-computing time by 3.47%, 3.152%, 2.169%, and 3.527%, 3.762%, significantly.

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Section: Power Consumption Analysismentioning

confidence: 99%

Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

Pari¹,

Sudharson²

2023

Computer Systems Science and Engineering

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“…It allows a node on the network to communicate securely by sharing cryptographic keys. The shared key is calculated at the two endpoints using elliptic curve cryptography (ECC), and the ciphertext transfers using the key exchange for communicating data [18][19][20][21][22]. The sender encrypts the data and sends this to the next hop using a secret key.…”

Section: Key Generationmentioning

confidence: 99%

An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

Pari¹,

Sudharson²

2023

Intelligent Automation &Amp; Soft Computing

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The protection of ad-hoc networks is becoming a severe concern because of the absence of a central authority. The intensity of the harm largely depends on the attacker's intentions during hostile assaults. As a result, the loss of Information, power, or capacity may occur. The authors propose an Enhanced Trust-Based Secure Route Protocol (ETBSRP) using features extraction. First, the primary and secondary trust characteristics are retrieved and achieved routing using a calculation. The complete trust characteristic obtains by integrating all logical and physical trust from every node. To assure intermediate node trustworthiness, we designed an ETBSRP, and it calculates and certifies each mobile node's reputation and sends packets based on that trust. Connection, honesty, power, and capacity are the four trust characteristics used to calculate node reputation. We categorize Nodes as trustworthy or untrustworthy according to their reputation values. Fool nodes are detached from the routing pathway and cannot communicate. Then, we use the cryptographic functions to ensure more secure data transmission. Finally, we eliminate the untrustworthy nodes from the routing process, and the datagram from the origin are securely sent to the target, increasing throughput by 93.4% and minimizing delay.

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Detecting malicious nodes in MANET using rateless codes for maximum content distribution

Cited by 2 publications

References 21 publications

Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

Hybrid Trust Based Reputation Mechanism for Discovering Malevolent Node in MANET

An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

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