Security and privacy concerns in social networks mathematically modified metaheuristic-based approach

Krishna, Raguru Jaya; Gopalakrishnan, T.; Divyapushpalakshmi, M.; Amarendra, K.; Dadheech, Pankaj; Sengan, Sudhakar

doi:10.47974/JDMSC-1892

Open Access Research Article

Security and privacy concerns in social networks mathematically modified metaheuristic-based approach

Raguru Jaya Krishnaraguru.krishna@manipal.eduDepartment of Computer Science and EngineeringManipal Institute of Technology BengaluruManipal Academy of Higher EducationManipal, Karnataka, 560064, IndiaView full profile → , ^*T. GopalakrishnanCorresponding authorgopalakrishnan.ct@gmail.comDepartment of Information TechnologyManipal Institute of Technology BengaluruManipal Academy of Higher EducationManipal, Karnataka, 560064, IndiaView full profile → , M. Divyapushpalakshmidrdivyanatchim@gmail.comDepartment of Computer Science and EngineeringGITAM UniversityBengaluru, Karnataka, 561203, IndiaView full profile → , K. Amarendraamarendra@kluniversity.inDepartment of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationVaddeswaram, Andhra Pradesh, 522502, IndiaView full profile → , Pankaj Dadheechpankajdadheech777@gmail.coDepartment of Computer Science and EngineeringManagement & Gramothan (SKIT)Swami Keshvanand Institute of TechnologyJaipur, Rajasthan, 302017, IndiaView full profile → , Sudhakar Sengansudhasengan@gmail.comDepartment of Computer Science and EngineeringPSN College of Engineering and TechnologyTirunelveli, Tamil Nadu, 627152, IndiaView full profile →

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pp. 371–382Vol. 27Issue 2-AMarch 2024DOI: 10.47974/JDMSC-1892 Crossmark XML

Published Online:: 06 Apr 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1892
Pages:: 371–382

Abstract

Potential risks and vulnerabilities in Social Networks (SN) that may threaten the confidentiality, accuracy, and accessibility of data provided by users have been identified as safety risks. Unauthorized usage of the system, breaches of data, privacy violations, cyber-attacks, and other malicious behaviors that negatively impact the SN’s reliability and security may be addressed within these. Innovative techniques that use scientifically enhanced metaheuristic algorithms are the subject of the study, which attempts to address evolving issues of security and privacy in SNs. In order to improve the security of online social networking data encryption, researchers recommend implementing the MMCSOA approach, which is the Mathematically Modified Cuckoo Search Optimization Algorithm. An enhanced tuning of elliptic curve parameters can be accomplished by adapting the Cuckoo Search method, which, in consequence, provides an encrypted environment for multi-party computing. Users’ preferences for confidentiality are considered while applying a fuzzy logic (FL) decision matrix to select individuals. Data security is improved, and users receive additional authority over data shared with MMCSOA. Research findings prove that MMCSOA is higher compared to other methods in securing users’ privacy.

Keywords

Security Optimization Social network Accuracy Encryption Privacy Cuckoo search

Subject Classifications

68N30

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