Cyber Supply Chain (CSC) security requires a secure integrated network among the sub-systems of the inbound and outbound chains. Adversaries are deploying various penetration and …

The paper aims to use machine learning techniques to predict threats on cyber supply chain systems, improve cyber resilience, focus on critical assets, and reduce the attack surface. …

predictive analytics and machine learning to proactively identify and counteract potential cyber threats, enhancing the resilience and security of supply chains while ensuring operational …

Dec 18, 2022 · In this research, Microsoft Malware Predictions dataset was used to predict cyber threats for cyber supply chains. Five machine learning algorithms were used to predict threats, …

shows that these supply chain features improve the prediction of future cyber data breach incidents, relative to models that merely rely on the enterprise internal factors. The results of …

Feb 9, 2022 · Cyber resilience approaches ensure the ability of a supply chain system to prepare, absorb, recover and adapt to adverse effects in the complex CPS environment. However, …

Mar 11, 2019 · In this talk, we show how an adversary can abuse machine learning models to carry out highly damaging supply chain attacks. We start by exploring several model …

Jun 22, 2021 · Cyber Supply Chain (CSC) security requires a secure integrated network among the sub-systems of the inbound and outbound chains. Adversaries are deploying various …

2 days ago · This publication provides essential data security guidance for organisations that develop and/or use AI systems, including businesses, government and critical infrastructure. It …

5 days ago · The colours indicate the average publication year of the papers in which these key terms appeared most frequently. It is evident that the central concept of this …