Year: 2025
Type: article
Abstract: The burgeoning field of networking necessitates secure and efficient data aggregation within dynamic environments like Software-Defined Mobile Ad-Hoc Networks (SDMANETs).While SDMANETs offer a foundation for flexible communication, their inherent openness exposes them to security vulnerabilities during data collection.Existing approaches that rely on universal group keys for intra-node (N2N) and node-to-Controller (N2C) communication are inadequate for resource-constrained SDMANETs, requiring frequent key updates and lacking mechanisms for real-time node management.This work proposes a novel approach, BCSDA, to enhance security and privacy in SDMANET networks by leveraging block chain technology and cluster-based data aggregation.Our solution utilizes a grouping of the Pelican optimization algorithm (POA) for selecting cluster heads, one-way hash chain techniques and Paillier homomorphic encryption for secure data aggregation, and Chinese Remainder Theorem (CRT) for block chain retrieving process.This reduces network traffic and improves efficiency, a crucial aspect for large-scale Manet device deployments.Block chain technology is then integrated to provide a secure and tamper-proof ledger for recording aggregated data.To evaluate the effectiveness of our approach, we employ the ns-3 network simulator.This allows us the assess the effect of our solution on security, privacy, and network performance metrics.This research contributes to the advancement of secure and privacy-preserving SDMANET networks by combining the strengths of block chain technology and cluster-based data aggregation.It addresses the critical need for robust security solutions in the ever-expanding world of SDMANET.
Language: English
Topic: Mobile Ad Hoc Networks
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410249952