TY - GEN
T1 - Computational Analysis of the Effectiveness of the Intelligence Cycle for Organizational Cyber Risk Management
AU - Jeffery, Euan
AU - Malsagov, Uwais
AU - Tijssen, Niels
AU - Zeisig, Andreas
AU - Hoffmans, Charlotte C.A.
AU - Treur, Jan
AU - Roelofsma, Peter H.M.P.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This paper presents a computational analysis of the effectiveness of the intelligence cycle to enhance the cybersecurity defences of a large company such as ASML which is targeted by sophisticated cyber threats. Each intelligence cycle’s phase’s efficiency is crucial for timely and accurate threat detection, processing, and response. A What-If analysis and risk assessment highlight the significant impact of data collection effectiveness, data processing speed, and intelligence analysis accuracy on the overall performance of the intelligence cycle.
AB - This paper presents a computational analysis of the effectiveness of the intelligence cycle to enhance the cybersecurity defences of a large company such as ASML which is targeted by sophisticated cyber threats. Each intelligence cycle’s phase’s efficiency is crucial for timely and accurate threat detection, processing, and response. A What-If analysis and risk assessment highlight the significant impact of data collection effectiveness, data processing speed, and intelligence analysis accuracy on the overall performance of the intelligence cycle.
UR - https://www.scopus.com/pages/publications/105015299129
UR - https://www.scopus.com/inward/citedby.url?scp=105015299129&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-96759-7_12
DO - 10.1007/978-3-031-96759-7_12
M3 - Conference contribution
AN - SCOPUS:105015299129
SN - 9783031967580
T3 - Lecture Notes in Networks and Systems
SP - 180
EP - 201
BT - Artificial Intelligence and System Engineering - Proceedings of 8th Computational Methods in Systems and Software 2024
A2 - Silhavy, Radek
A2 - Silhavy, Petr
PB - Springer Nature
T2 - 8th International Conference on Computational Methods in Systems and Software, CoMeSySo 2024
Y2 - 12 October 2024 through 14 October 2024
ER -