Threshold Cryptography &amp;#x00026; Genetic Algorithm Based Secure Key Exchange for Mobile Hosts

Sahoo, Durga Prasad; Champati, Satyananda; Pradhan, Sateesh Kumar

doi:10.1109/iadcc.2009.4809203

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…GA-based Secure Key Exchange In a MANET, freely moving nodes can lose connectivity to their neighbors and, hence, rejoin the network many times, which may generate vulnerabilities exploitable by malicious agents. Security issues due to node mobility are studied in [106], where threshold cryptography ensures trust among MANET nodes. A GA is used to verify secure key exchanges among nodes by providing efficient authentication of the nodes entering the network.…”

Section: Genetic Algorithmsmentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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In this paper, a comprehensive survey of evolutionary computation (EC) methods for cybersecurity of mobile ad hoc networks (MANETs) is presented. Typically, EC methods are named based on the natural processes inspiring them, such as swarm intelligence (e.g., ant colony optimization, artificial bee colony, and particle swarm optimization), evolutionary algorithms (e.g., genetic algorithms, genetic programming, grammatical evolution, and differential evolution), artificial immune systems, and evolutionary games analyzing strategic interactions among different population types. We introduce these methods with their typical applications, and commonly used algorithms to improve cybersecurity within the scope of MANETs. Ongoing and speedy topology changes, multi-hop communication, nonhierarchical organization, and power and computational limitations are among the intrinsic characteristics of MANETs causing cybersecurity vulnerabilities. We describe basic defense mechanisms in MANETs for vulnerability detection, attack deterrence, prevention and recovery, and risk mitigation. We classify principal applications of EC as intrusion detection, trust management, and cryptography in cybersecurity systems to countermeasure adversarial activities.This research is supported by D01 W911SR-14-2-0001-0014. The contents of this document represent the views of the authors and are not necessarily the official views of, or endorsed by, the US Government, Department of Defense, Department of the Army or US Army Communications-Electronic RD&E Center. Dr. Cem Safak Sahin is currently an MIT Lincoln Laboratory employee; no Laboratory funding or resources were used to produce the result/findings reported in this publication.

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Section: Genetic Algorithmsmentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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“…Rondeau mentions several methods for evaluating multi-objective optimization problems, including the weighted-sum approach, the linear-logarithmic function, and the constant-elasticity-of-substitution function [5]. Rondeau ultimately uses evolutionary based genetic algorithms (GAs) to address his MOO problems, and this approach has been embraced by researchers in a wide variety of application domains, including economics [50], mechanical engineering [51], and cryptography [52]. Guided search algorithms like GAs are well suited to finding solutions in large search spaces.…”

Section: Decision Makingmentioning

confidence: 99%

Low-cost Cognitive Electronics Technology for Enhanced Communications and Situational Awareness for Networks of Small Unmanned Aerial Vehicles (UAV)

Bostian¹,

Young²

2013

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Using Government drawings, specifications, or other data included in this document for any purpose other than Government procurement does not in any way obligate the U.S. Government. The fact that the Government formulated or supplied the drawings, specifications, or other data does not license the holder or any other person or corporation; or convey any rights or permission to manufacture, use, or sell any patented invention that may relate to them. This report was cleared for public release by the 88 th ABW, Wright-Patterson AFB Public Affairs Office and is available to the general public, including foreign nationals. Copies may be obtained from the Defense Technical Information Center (DTIC) (http://www.dtic.mil).

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Evaluation of cryptographic key generation performance using evolutionary algorithm

Ragavan

Prabu

2022

Int J Syst Assur Eng Manag

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Threshold Cryptography & Genetic Algorithm Based Secure Key Exchange for Mobile Hosts

Cited by 3 publications

References 8 publications

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

Low-cost Cognitive Electronics Technology for Enhanced Communications and Situational Awareness for Networks of Small Unmanned Aerial Vehicles (UAV)

Evaluation of cryptographic key generation performance using evolutionary algorithm

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