Autonomous Ant-based Public Key Authentication Mechanism for Mobile Ad-hoc Networks

Memarmoshrefi, Parisa; Seibel, Roman; Hogrefe, Dieter

doi:10.1007/s11036-016-0703-y

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…In a simple ant colony optimization meta-heuristic algorithm, when an ant which is named Forward ANT (FANT) departs from the source node S to explore the network, it chooses one neighbor of node S as the next hop node i. The probability of node i being chosen is defined by the following formulas [25]:…”

Section: The Ant Colony Optimization Algorithmmentioning

confidence: 99%

“…Once the FANT has achieved the target location, a corresponding Backward ANT (BANT) backtracks to the source node. During the return trip, the BANT updates the pheromone table at each intermediate node, like shown in Figure 2, according to the reinforcement rule as below [25]:…”

Section: The Ant Colony Optimization Algorithmmentioning

confidence: 99%

“…where τij is the pheromone value laid by ants on the edge of node i and node j ; e is the pheromone evaporation rate which allows the ants to explore new paths; Δτij is a constant amount of pheromone deposited by the ant. The common form to calculate Δτij is as below [25]:…”

Section: The Ant Colony Optimization Algorithmmentioning

confidence: 99%

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A Survey of Location Aware Ant Colony Optimization Routing Protocols in MANETs

Zhang¹,

Wang²,

Hogrefe³

2017

Proceedings of the 10th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BION

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Mobile Ad hoc NETtworks (MANETs) are infrastructureless and self-configuring networks which consist of wireless mobile devices. Due to these properties, routing in such networks is a challenging task. Developing highly efficient routing protocols for MANETs is an important issue, with solutions having to fulfill many requirements, such as being able to provide low packet delay, high packet delivery rate and effective adaption to network topology changes with low control overhead. Swarm intelligence inspired algorithms offer possible solutions that fulfill the requirements and so have attracted a lot of attention from academics. A successful example in the swarm intelligence category is the Ant Colony Optimization (ACO) algorithm which has been applied to balance the various routing related requirements in MANETs. This paper presents a survey which focuses on location aware ACO routing protocols in MANETs. The main contributions of this survey include 1) introducing the ACO routing principles, 2) surveying and comparing a selection of routing protocols from the perspective of design and simulation parameters, and 3) discussing open issues and future possible design directions of ACO based routing protocols.

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Section: The Ant Colony Optimization Algorithmmentioning

confidence: 99%

Section: The Ant Colony Optimization Algorithmmentioning

confidence: 99%

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A Survey of Location Aware Ant Colony Optimization Routing Protocols in MANETs

Zhang¹,

Wang²,

Hogrefe³

2017

Proceedings of the 10th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BION

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“…The basic design of MANET is presented in Fig 1, where the mobile nodes are connected via a wireless links. The security challenges of MANET [2][3][4]…”

Section: Introductionmentioning

confidence: 99%

An Identity Based Key Management Technique for Secure Routing in MANET

Chandrashekar¹,

Arun²

2018

IJIES

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Providing a reliable and secure communication in Mobile Adhoc Network (MANET) is a highly challenging and demanding task in recent days. For this purpose, different techniques are developed in the traditional works, but it lacks with the drawbacks of difficult key revocation, reduced security, increased delay, and bandwidth usage. To solve these problems, this paper motives to develop a routing technique, namely, Identity Based Key Management (IBKM) for providing a secure communication in MANET. Here, the group polynomial equation is generated at first for generating a unique ID to each node in the network. Then, the neighboring nodes of the source and destination are identified and registered in the network table. After that, the routing path between these nodes are validated in order to enable a reliable communication. The node pairing is performed and the public key is distributed to the nodes that are successfully paired. Sequentially, the signature of the packet is generated and verified, if both generated and received signature are same, the packet is received; otherwise, the misbehavior node is identified and blocked. To evaluate the results of the proposed mechanism, various performance measures such as malicious node detection probability, average message overhead, Packet Delivery Ratio (PDR), end-to-end delay, throughput, and routing overhead are used. Here, the results are evaluated with respect to various malicious node ratio, speed (m/s), and simulation time (s). Also, the existing Dynamic Source Routing (DSR) and Cooperative Bait Detection Scheme (CBDS) are compared with the proposed mechanism for proving the efficiency. From the results, it is analyzed that the PDR and throughput of the network is increased with the reduced message overhead and delay. Also, the proposed mechanism uses the identity based key management technique, which efficiently detects the malicious nodes in the network.

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“…In this thesis we consider a mobile ad hoc environment, in which all nodes perform five main processes to authenticate the destination node in order to have a secure communication [53] [54]. Different processes are applied to obtained trustful multicertificate chain.…”

Section: Chapter 5 Proposed Self-organized Authentication System Desc...mentioning

confidence: 99%

A Bio-Inspired Autonomous Authentication Mechanism in Mobile Ad Hoc Networks

Memarmoshrefi¹

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I owe Roman Seibel many thanks for the constructive discussion and valuable collaboration during my research. My gratitude goes to Ansgar Kellner for the helpful scientific discussions and reviews. Also I am thankful for the cooperative efforts of Hang Zhang. I am grateful to all of my colleagues; Youssef for the technical help and to Somayeh and all others for their kind cooperation. I wish them all the best for the future.It is a pleasure for me to thank Carmen Scherbaum and Udo Burghardt who create a gracious work atmosphere in the Telematics group with fast administrative environment. I am also thankful to Annette Kaziora and Heicke Jachinke for their kind support.I am very indebted to my beloved family, my parents and my brothers, who have been, from distance, a great support. I would like to gratitude to my parents for their love, support and encouragement in different phases of my life. The final word of thanks goes to my husband Kamyar. I appreciate his support, patient and encouragement during all steps of my work. This work is dedicated to him and to my parents.The broader the mind, the greater the tolerance .-Ostad Elahi

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Autonomous Ant-based Public Key Authentication Mechanism for Mobile Ad-hoc Networks

Cited by 7 publications

References 17 publications

A Survey of Location Aware Ant Colony Optimization Routing Protocols in MANETs

A Survey of Location Aware Ant Colony Optimization Routing Protocols in MANETs

An Identity Based Key Management Technique for Secure Routing in MANET

A Bio-Inspired Autonomous Authentication Mechanism in Mobile Ad Hoc Networks

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