TY - GEN
T1 - Anomaly Detection of Security Threats to Cyber-Physical Systems
T2 - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022
AU - Jeffrey, Nicholas
AU - Tan, Qing
AU - Villar, José R.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - As the presence of Cyber-Physical Systems (CPS) becomes ubiquitous throughout all facets of modern society, malicious attacks by hostile actors have increased exponentially in recent years. Attacks on critical national infrastructure (CNI) such as oil pipelines or electrical power grids have become commonplace, as increased connectivity to the public internet increases the attack surface of CPS. This paper presents a study of the current academic literature describing the state of the art for anomaly detection of security threats to Cyber-Physical Systems, with a focus on life safety issues for industrial control networks (ICS), with the goal of improving the accuracy of anomaly detection. As a new contribution, this paper also identifies outstanding challenges in the field, and maps selected challenges to potential solutions and/or opportunities for further research.
AB - As the presence of Cyber-Physical Systems (CPS) becomes ubiquitous throughout all facets of modern society, malicious attacks by hostile actors have increased exponentially in recent years. Attacks on critical national infrastructure (CNI) such as oil pipelines or electrical power grids have become commonplace, as increased connectivity to the public internet increases the attack surface of CPS. This paper presents a study of the current academic literature describing the state of the art for anomaly detection of security threats to Cyber-Physical Systems, with a focus on life safety issues for industrial control networks (ICS), with the goal of improving the accuracy of anomaly detection. As a new contribution, this paper also identifies outstanding challenges in the field, and maps selected challenges to potential solutions and/or opportunities for further research.
KW - AI/ML in CPS
KW - Anomaly detection in CPS
KW - Cyber-physical systems security
KW - Human-in-the-loop cyber-physical systems (HitL-CPS)
KW - IoT security
KW - SCADA security
UR - http://www.scopus.com/inward/record.url?scp=85141655009&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-18050-7_1
DO - 10.1007/978-3-031-18050-7_1
M3 - Published Conference contribution
AN - SCOPUS:85141655009
SN - 9783031180491
T3 - Lecture Notes in Networks and Systems
SP - 3
EP - 12
BT - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings
A2 - García Bringas, Pablo
A2 - Pérez García, Hilde
A2 - Martinez-de-Pison, Francisco Javier
A2 - Villar Flecha, José Ramón
A2 - Troncoso Lora, Alicia
A2 - de la Cal, Enrique A.
A2 - Herrero, Alvaro
A2 - Martínez Álvarez, Francisco
A2 - Psaila, Giuseppe
A2 - Quintián, Héctor
A2 - Corchado Rodriguez, Emilio S.
Y2 - 5 September 2022 through 7 September 2022
ER -