This study introduces cybersecurity concepts in ways familiar to defense economists and identifies parallel methods of analysis in the fields. The theoretical tools of both fields include microeconomics and game theory. These tools enable analyses of phenomena present in both milieus: public goods, externalities, commons, incentives, interdependent security, platform economics, and inefficiency of decentralized decision making. Additional topics include cyber war, cyberterrorism, deterrence and disinformation in cyberspace, price of anarchy, and economics of cryptography.

Cyberspace “is a domain characterized by the use of electronics and the electromagnetic spectrum to store, modify, and exchange data via networked systems and associated physical infrastructures.” It is the newest military domain affecting the Operating Environment (OE) and the focus of concern by the President of the United States. In the Presidential Executive Order on Strengthening the Cybersecurity of Federal Networks and Critical Infrastructure, President Trump directed the Department of Defense and other agencies across the whole of government to identify a long-term way ahead to address education and retention of cybersecurity professionals.

States’ approaches to cybersecurity can be divided into two categories: those that regard cybersecurity as a civilian task; and those that involve their militaries in creating or implementing cybersecurity policies. Those states that have incorporated cyberwarfare into their military planning and organization perceive cyberattacks as a threat to their national security, while states that charge their civilian agencies with domestic cybersecurity missions classify cyber intrusions as security risks for only particular sectors. Adopting the framework of securitization theory, this article theorizes both civil and military approaches to cybersecurity and threat perceptions and their sources. The theoretical framework is then applied to a study of the cybersecurity policies of Central European countries and the Baltic States

this research paper’s key focus is to address the security threats that arise from current and emerging technology, modern and cutting-edge cybersecurity threat mitigation strategies that need attention and the opportunities that lie in the cyber landscape. The paper will help all those already digitally transformed or shifting their offline business models to digital and connecting people and devices over the internet by providing them with requisite insights into cybersecurity.

The cybersecurity policy of Switzerland is focused on enhancing competencies and knowledge, investing in research and the resilience of critical infrastructures, threat monitoring, supporting innovation, promoting standards, and increasing awareness – all in the framework of public-private, inter-regional, and international cooperation.

What Are the Threats?
What Are the Vulnerabilities?
What Are the Impacts? Long term challenges

Autonomous driving (AD) has developed tremendously in parallel with the ongoing development and improvement of deep learning (DL) technology. However, the uptake of artificial intelligence (AI) in AD as the core enabling technology raises serious cybersecurity issues. An enhanced attack surface has been spurred on by the rising digitization of vehicles and the integration of AI features. The performance of the autonomous vehicle (AV)-based applications is constrained by the DL models' susceptibility to adversarial attacks despite their great potential. Hence, AI-enabled AVs face numerous security threats, which prevent the large-scale adoption of AVs. Therefore, it becomes crucial to evolve existing cybersecurity practices to deal with risks associated with the increased uptake of AI. Furthermore, putting defense models into practice against adversarial attacks has grown in importance as a field of study amongst researchers. Therefore, this study seeks to provide an overview of the most recent adversarial defensive and attack models developed in the domain of AD.

This chapter provides a political and philosophical analysis of the values at stake in ensuring cybersecurity for critical infrastructures. It presents a review of the boundaries of cybersecurity in national security, with a focus on the ethics of surveillance for protecting critical infrastructures and the use of AI. A bibliographic analysis of the literature is applied until 2016 to identify and discuss the cybersecurity value conflicts and ethical issues in national security. This is integrated with an analysis of the most recent literature on cyber-threats to national infrastructure and the role of AI.

We will discuss below two CRP alternatives: the development of a civilian cybersecurity reserve and the use of the Defense Production Act during a conflict.

Cybersecurity risk assessment is an important means of effective response to network attacks on industrial control systems. However, cybersecurity risk assessment process is susceptible to subjective and objective effects. To solve this problem, this paper introduced cybersecurity risk assessment method based on fuzzy theory of Attack-Defense Tree model and probability cybersecurity risk assessment technology, and applied it to airport automatic fuel supply control system. Firstly, an Attack-Defense Tree model was established based on the potential cybersecurity threat of the system and deployed security equipment. Secondly, the interval probability of the attack path was calculated using the triangular fuzzy quantification of the interval probabilities of the attack leaf nodes and defensive leaf nodes. Next, the interval probability of the final path was defuzzified. Finally, the occurrence probability of each final attack path was obtained and a reference for the deployment of security equipment was provided.