Advanced Threat Detection Systems for Protecting Critical Infrastructure
Saurabh Manaswita Verma, Pankaj Pali, Pavani Kori, Muskan Tiwari · International Journal of Innovative Research in Computer and Communication Engineering · 2023
As critical infrastructure increasingly relies on digital technologies and interconnected systems, the security landscape becomes more complex, necessitating advanced threat detection systems to protect these essential assets. This paper reviews contemporary approaches and technologies for threat detection in critical infrastructure, including machine learning algorithms, anomaly detection techniques, and hybrid security models. It investigates the effectiveness of these systems in real-time monitoring, integration of advanced analytics, and the use of predictive models to anticipate and mitigate potential threats. The paper also addresses key challenges such as managing false positives, ensuring scalability, and integrating new systems with existing security frameworks. Through case studies and recent advancements, the impact of innovative solutions on enhancing infrastructure resilience is evaluated. The study concludes that while progress is notable, ongoing research is essential to address evolving threats and improve the effectiveness of threat detection systems in a dynamic security environment.