Cyber Threat Intel

The rapid proliferation of smart city technologies has revolutionized urban environments, enhancing efficiency, sustainability, and quality of life. However, these advancements come with significant cybersecurity challenges. Threat intelligence, a proactive approach to identifying, assessing, and mitigating cyber threats, plays a crucial role in ensuring the security and resilience of smart city infrastructures.

While, until recently, cyber operations have constituted a specific subset of defense and security concerns, the synergization of cyberspace and artificial intelligence (AI), which are driving the Fourth Industrial Revolution, has raised the threat level of cyber operations, making them a centerpiece of what are called hybrid threats.

This NIST Trustworthy and Responsible AI report is intended to be a step toward developing a taxonomy and terminology of adversarial machine learning (AML), which in turn may aid in securing applications of artifcial intelligence (AI) against adversarial manipulations of AI systems. Broadly, there are two classes of AI systems: Predictive and Generative.

The “Security Technologies and Methods for Advanced for Advanced Cyber Threat Intelligence, Detection and Mitigation” book builds on the experience of the CyberTrust EU project’s (grant agreement 786698) methods, use cases, technology development, testing and validation and extends into a broader science, lead IT industry market and applied research with practical cases.

Log-based cyber threat hunting has emerged asan important solution to counter sophisticated attacks.However, existing approaches require non-trivial efforts of manualquery construction and have overlooked the rich external threatknowledge provided by open-source Cyber Threat Intelligence(OSCTI).

 Organizations across the world have been continuously targeted by sophisticated, disruptive, damaging, and costly cyber-attacks. To address the aforementioned issue, security efforts have focused on how to prevent, detect, and recover from an attack.However, these efforts are defensive, reactive, and inefficient at stopping the damage as they only deal with the attacks after they occur. In recent years, the cybersecurity community has started adopting a proactive approach that aims to predict the likelihood of cyber threats, anticipate the cyber-attacks in advance, and avoid their damages