Received April 19, 2021, accepted May 10, 2021, date of publication June 7, 2021, date of current version July 9, 2021. Digital Object Identifier 10.1109/ACCESS.2021.3087109 Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security ABEL YEBOAH-OFORI 1, SHAREEFUL ISLAM2, SIN WEE LEE2, ZIA USH SHAMSZAMAN 3, (Senior Member, IEEE), KHAN MUHAMMAD 4, (Member, IEEE), METEB ALTAF 5, AND MABROOK S. AL-RAKHAMI 6, (Member, IEEE) 1Department of Computer Science and Engineering, University of West London, Ealing London W5 5RF, U.K. 2School of Architecture Computing and Engineering (ACE), University of East London, London E16 2RD, U.K. 3Department of Computing and Games, Teesside University, Middlesbrough TS1 3BX, U.K. 4Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Software, Sejong University, Seoul 143-747, South Korea 5Advanced Manufacturing and Industry 4.0 Center, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia 6Research Chair of Pervasive and Mobile Computing, Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia Corresponding author: Mabrook S. Al-Rakhami (
[email protected]) This work was supported by the Deanship of Scientific Research at King Saud University through the Vice Deanship of Scientific Research Chairs: Chair of Pervasive and Mobile Computing. ABSTRACT Cyber Supply Chain (CSC) system is complex which involves different sub-systems perform- ing various tasks. Security in supply chain is challenging due to the inherent vulnerabilities and threats from any part of the system which can be exploited at any point within the supply chain. This can cause a severe disruption on the overall business continuity.