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Implementation of a novel secured authentication protocol for cyber security applications.

V Suresh Kumar¹, Osamah Ibrahim Khalaf², Radha Raman Chandan³

¹Department of Computer Science and Engineering, Jaya Engineering College, Chennai, India.

Scientific Reports

|October 29, 2024

Summary

A new 5G Secure Handover Protocol uses spiking neural networks and fuzzy logic to enhance security against cyber-attacks. This protocol reduces handover delays and protects sensitive data, improving communication reliability.

Keywords:

Attacks Authentication protocol Cybersecurity applications Digital Age Security Spiking neural network with fuzzy logic (SNN-FL)

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Area of Science:

Cybersecurity
Network Security
Wireless Communication

Background:

Increasing cyber-attacks necessitate robust verification protocols for sensitive data.
Existing 5G handover protocols face security and effectiveness challenges.

Purpose of the Study:

To introduce a novel 5G Secure Handover Protocol.
To address security vulnerabilities and reduce handover latency in 5G networks.

Main Methods:

Utilized a combination of Spiking Neural Network and Fuzzy Logic (SNN-FL) techniques.
Developed a secure authentication protocol to minimize handover delays.
Simulated the protocol's performance against various cyber-attacks.

Main Results:

The protocol demonstrated robustness against de-synchronization, replay, MITM, DoS, and jamming attacks.
Achieved perfect forward key secrecy, enhancing communication confidentiality.
Significantly reduced handover delays and improved overall efficiency.

Conclusions:

The proposed 5G Secure Handover Protocol offers enhanced security and efficiency for 5G networks.
The SNN-FL approach effectively thwarts cyber-attacks and reduces latency.
The protocol is suitable for large-scale cybersecurity applications and secure digital authentication.