Risk-Based Adaptive Authentication in Mobile Network System Using Dynamic Elliptic Curve Digital Signature Algorithm

The Risk-based Adaptive Authentication (RBAA) in mobile networks is to ensure a dynamic nature of authentication requirements, as per the real-time risk factors, taking into account the users' behavior and status of the device, and geographical location. It is argued to increase the system's security by always authenticating users according to the risk of the attempted access. Current models have limitations because they are static, and they have to use unified strategies that either undermine security or cause users' discomfort. Thus, to overcome those existing challenges, this research proposed the Adaptive PKI Authentication System (APAS) and the Dynamic Elliptic Curve Digital Signature Algorithm (DECDSA) to enhance the security and efficiency of mobile network systems. Specifically, the APAS incorporates innovative risk-based mechanisms with the flexible risk adjustment of the authentication process to respond to reliable threat assessments, which enhances the resistance to unauthorized access and the provision of highly secure protection adjusted for different levels of risk. The proposed DECDSA model attains less decryption time of 0.70 ms, less encrypted time of 0.58 ms, a genuine user rate of 0.96, less memory of 122.42 KB, a responsiveness of 0.86 ms, and less time complexity of 0.37 ms.