数字签密
计算机科学
方案(数学)
骨料(复合)
互联网
计算机安全
物联网
工业互联网
计算机网络
公钥密码术
分布式计算
万维网
加密
数学
数学分析
材料科学
复合材料
作者
G. Srinivasa Rao,T. Gowri,Ramesh Babu Amarapu,N. B. Gayathri,P. V. G. D. Prasad Reddy
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2023-10-25
卷期号:11 (6): 10563-10574
被引量:4
标识
DOI:10.1109/jiot.2023.3327503
摘要
The Industrial Internet of Things (IIoT) combines several smart devices which communicate continuously with each other via the Internet, to reshape the traditional industrial process and to enable faster production and optimize processes, by monitoring machine status, environment, and data management from the crowdsourced industrial devices. Industry 4.0 is accelerated with modern computing platforms and communication technologies. The storage and data movement over the network is often exposed to many security and efficiency challenges due to the interconnections of millions of smart devices across the globe and the fact that these smart/constrained devices have limited power. The cryptographic algorithms provide a solution for the privacy concerns in the IIoT network in terms of authentication and data integrity to data transmission across the network. However, the traditional cryptographic approaches are complex in nature require high computational costs and are time-consuming. Hence, dedicated cost-effective lightweight and cryptographic algorithms are in high demand and are essential. This paper intends to develop a new lightweight and secure aggregate signcryption scheme for crowdsourced industrial data using certificateless cryptography. This scheme effectively reduces computational cost and time consumption. In addition, this scheme avoids the key-escrow problem and achieves stronger security properties. Finally, we evaluate our PF-CLASC scheme's performance and will compare results with recent state-of-the-art schemes.
科研通智能强力驱动
Strongly Powered by AbleSci AI