This paper presents a comprehensive analysis of Advanced Persistent Threats (APTs) and proposes novel detection and mitigation strategies based on machine learning algorithms.

As quantum computing advances, this research evaluates the effectiveness of post-quantum cryptographic algorithms and their implementation challenges in existing security infrastructures.

This paper introduces a novel fuzzing framework that significantly improves the efficiency of zero-day vulnerability discovery in complex software systems.

A detailed examination of security vulnerabilities in smart contracts and blockchain implementations, with proposed countermeasures and best practices.

This research demonstrates how artificial intelligence can be leveraged to automate and enhance security incident response processes, reducing response times by 60%.

In light of recent supply chain attacks, this paper presents methodologies for detecting compromises throughout the software development lifecycle.