Comparison of Security & Optimization Techniques.

Wireless Sensor Networks (WSNs) are integral to the Internet of Things (IoT), yet they face significant security challenges, including vulnerabilities to various attacks like Man-in-the-Middle and insider threats. Traditional security mechanisms are often insufficient in providing the necessary level of security while accommodating the processing and energy limitations of resource-constrained devices. Hence the research proposes an innovative Elliptic Curve Cryptography and Triple-Layer Authentication Framework (ECC-TLAF) that enhances the security of WSNs while improving energy efficiency and reducing latency. The framework utilizes a lightweight authentication approach involving biometrics, smart cards, and passwords. The research results indicate that the ECC-TLAF model significantly enhances performance, achieving a 98.9% improvement in energy efficiency, a 95.6% increase in security, and a 96.7% attack detection rate. Moreover, it reduces processing time by 1.02 seconds and latency by 0.1 milliseconds compared to conventional frameworks. The ECC-TLAF framework effectively addresses the security challenges in WSNs, ensuring robust protection against cyber threats while optimizing resource utilization. This research contributes to the advancement of security protocols for IoT environments, paving the way for more secure and efficient WSN applications.

无线传感器网络（Wireless Sensor Networks, WSNs）是物联网（Internet of Things, IoT）不可或缺的组成部分，却面临诸多严峻的安全挑战，包括易遭受中间人攻击、内部威胁等各类攻击的安全漏洞。传统安全机制往往难以在适配资源受限设备的计算与能量限制的同时，提供符合要求的安全防护强度。为此，本研究提出一种创新的椭圆曲线密码学与三层认证框架（Elliptic Curve Cryptography and Triple-Layer Authentication Framework, ECC-TLAF），该框架可在提升无线传感器网络安全性的同时优化能源利用效率并降低延迟。该框架采用融合生物特征、智能卡与密码的轻量级认证方案。研究结果显示，ECC-TLAF模型可显著提升综合性能：能源利用效率提升98.9%，安全防护能力增强95.6%，攻击检测率达96.7%；相较于传统框架，其处理时间缩短1.02秒，延迟降低0.1毫秒。ECC-TLAF框架可有效应对无线传感器网络中的安全挑战，在为各类网络威胁提供可靠防护的同时优化资源利用率。本研究推动了物联网环境下安全协议的发展，为更安全高效的无线传感器网络应用铺平了道路。