Predictive model for multistage cyber-attack simulation

Document identifier: oai:DiVA.org:ltu-77630
Access full text here:10.1007/s13198-020-00952-5
Keyword: Engineering and Technology, Civil Engineering, Other Civil Engineering, Teknik och teknologier, Samhällsbyggnadsteknik, Annan samhällsbyggnadsteknik, Cyber-attack, Cyber kill chain, Security control, Predict Simulation, Drift och underhållsteknik, Operation and Maintenance
Publication year: 2020
Relevant Sustainable Development Goals (SDGs):
SDG 16 Peace, justice and strong institutions
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Adoption of information and communication technologies (ICT) in railway has improved the reliability, maintainability, operational efficiency, capacity as well as the comfort of passengers. This adoption introduces new vulnerabilities and entry points for hackers to launch attacks. Advanced cybersecurity threats with automated capabilities are increasing in such sectors as finance, health, grid, retail, government, telecommunications, transportation, etc. These cyber threats are also increasing in railways and, therefore, it needs for cybersecurity measures to predict, detect and respond these threats. The cyber kill chain (CKC) model is a widely used model to detect cyber-attacks and it consists of seven stages/chains; breaking the chain at an early stage will help the defender stop the adversary’s malicious actions. Due to lack of real cybersecurity data, this research simulates cyber-attacks to calculate the attack penetration probabilities at each stage of the cyber kill chain model. The objective of this research is to predict cyber-attack penetrations by implementing various security controls using modeling and simulation. This research is an extension of developed railway defender kill chain which provides security controls at each stage of CKC for railway organizations to minimize the risk of cyber threats.

Authors

Ravdeep Kour

Luleå tekniska universitet; Drift, underhåll och akustik
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Adithya Thaduri

Luleå tekniska universitet; Drift, underhåll och akustik
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Ramin Karim

Luleå tekniska universitet; Drift, underhåll och akustik
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