计算机科学
公钥密码术
密码系统
密码学
钥匙(锁)
节点(物理)
冗余(工程)
认证(法律)
无线传感器网络
计算机网络
计算机安全
实施
报文认证码
通信安全
可靠性
分布式计算
公钥基础设施
数据传输
数据冗余
安全通信
数据安全
密钥管理
传输(计算)
传感器节点
数据完整性
混合密码体制
密码原语
密钥交换
数据丢失
安全性分析
密码协议
通信系统
密钥生成
作者
K. Krishnamoorthy,Asheesh Kharya,Pankaj Agarwal,Subhashini Peneti,Nirav Bhatt,Suman Mishra
标识
DOI:10.1109/worldsuas66815.2025.11199209
摘要
WSNs are restricted in terms of resource and are completely decentralized, the security threat on WSNs has become more rampant. The Combinatorial Rabin Public Key Cryptosystem-Based Authentication (CRPUKCA) technique presented here presents a viable and efficient means of providing security and accuracy for data communication. Every deployed sensor node is provided with an identity per node and sends the BS to verify its identity. The secure communication is provided by the BS employing the method of the Rabin Public Key Cryptosystem where the BS derives private and public keys for nodes end. The proposed CRPUKCA technique solves some of the challenges that are constry as cryptography including Jacobi imagery and message redundancy with ease by avoiding the use of additional data for decryption. Combinatorial operations serve to advance the level of protection and, at the similar time, minimalize the level of required calculations. The effectiveness of the system is demonstrated through the implementations of simulations, stress testing, and accuracy and computational capability on the system with low power consumption. Apart from enhancing the data credibility and security, the proposed method is also deployable adequate for large amount of WSN installations. Findings reveal that large progresses in security response statistics as compared with current approaches; therefore, it can be concluded that CRPUKCA is viable to protect considerate communication in scarce resources environments. Overall, the proposed system yields an average accuracy rate of performance and this put the system in the right path of developing a very secured WSN application with the appreciated efficiency rate of being 98.3%.
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