Efficient security framework against sybil attack in mobile adhoc network using EE-OLSR protocol scheme

This paper proposes a novel approach for enhancing the authentication and power optimization of Wireless Sensor Networks (WSNs) by using an Energy efficient OLSR protocol design and Elliptic curve cryptography (ECC) algorithm to prevent Sybil attacks. Sybil attacks are considered the most critical attacks on WSNs as they involve the use of forged identities to gain malicious access to the network, which can lead to data loss and other serious consequences. The proposed approach focuses on the deployment of nodes and the updation of routing tables using an Energy efficient OLSR protocol, which is designed to optimize network performance while minimizing energy consumption. The use of multi-hop and relay-based clustering techniques facilitates cluster formation, which further enhances network performance. To improve the security of transmission, an ECC algorithm is implemented, which provides a higher level of security than traditional cryptographic systems. This approach also includes a flexible scheme for the recognition and prohibition of Sybil attacks during the transmission process, which enhances the energy efficiency of the system. The novelty and contribution of this study lie in the combination of an Energy-efficient OLSR protocol design and the use of an ECC algorithm to prevent Sybil attacks in WSNs. This approach has not been extensively explored in previous research, and the proposed approach is expected to provide significant benefits in terms of improved energy economy and safety for WSNs. The performance evaluation of the proposed approach includes time delay, throughput, energy efficiency, and detection rate, which provides a comprehensive assessment of its effectiveness. Finally, this paper addresses an important research gap in WSNs' security and energy efficiency and has significant practical implications for various fields, including military applications, environmental monitoring, and queue tracking. The proposed approach has the potential to enhance the reliability and security of WSNs, making them more suitable for use in various applications.