The Threat Landscape of Ransomware in Critical Infrastructure: An Optimization Perspective
Ransom ware, a malicious software program, has become a main threat to essential infrastructure systems, including power, transportation, and healthcare systems. This kind of cyber-attack is designed to block access to important records or devices until a ransom is paid, doubtlessly inflicting sizeable disruptions to critical offerings. As an increasing number of industries become reliant on technology, the threat of ransom ware in vital infrastructure has expanded. We provide an optimization angle at the danger panorama of ransom ware in critical infrastructure. We first examine the factors that contribute to the vulnerability of important infrastructure structures to ransom ware assaults. These consist of old technology, lack of education and cognizance, and insufficient backup and healing systems. We then discover the ability effects of a successful ransom ware attack on essential infrastructure, including manufacturing delays, service outages, and economic losses. We also examine different optimization techniques for stopping, mitigating, and responding to ransom ware attacks in critical infrastructure. These encompass risk-based total strategies, intrusion detection and prevention structures, and cyber coverage. We observe the function of government guidelines and policies in addressing the risk of ransom ware in critical infrastructure. Our findings provide insights for decision-makers in essential infrastructure industries to optimize their techniques and investments in stopping and responding to ransom ware attacks. By considering the optimization angle, essential infrastructure structures can better guard against the ever-evolving chance panorama of ransom ware.
Authors
- Sasmita Parida (ORCID: https://orcid.org/0000-0001-9054-3348)
- Ankita Agarwal (ORCID: https://orcid.org/0000-0003-0570-7374)
- Ramesh Saini (ORCID: https://orcid.org/0009-0007-2088-8843)
- Deepak Minhas
- Manashree
- Peer Mohammed Jeelan
Institutions
- Jain University (IN)
- Presidency University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957218
- Citations
- 1
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.49