Abstract:

To address the problem of insufficient security of public data caused by its characteristics of wide sources， large information volume， and high sensitivity， as well as the vulnerability of one-way authentication networks to various attacks， an optimized public data security algorithm applying a lightweight mutual authentication protocol was proposed. A lightweight mutual authentication protocol was obtained by combining Physical Unclonable Functions （PUF） with synchronized random numbers in this algorithm， which reduces the computational and communication overheads during the optimization process. The credibility of user readers during protocol access was authenticated through trusted network connections. Synchronized random numbers were deployed at both ends of user readers and public data electronic tags， and PUF was integrated into the public data electronic tags to enhance the resistance of keys in massive public data electronic tags against various attacks. Thus， mutual identity authentication between user readers and public data electronic tags was completed， and secure optimized protection of sensitive data was achieved. The research results show that the algorithm can effectively resist 10 types of attacks， including de synchronization attacks， cloning attacks， and man in the middle attacks， during the storage and transmission of public data， and has low latency， which can ensure the security of public data.

Key words: lightweight, bidirectional authentication protocol, public data, safety optimization, unclonable functions, synchronize random numbers