Artificial intelligence in the cyber domain: Offense and defense

Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improve methods of attack. However, malicious actors are aware of the new prospects too and will probably attempt to use them for nefarious purposes. This survey paper aims at providing an overview of how artificial intelligence can be used in the context of cybersecurity in both offense and defense.Web of Science123art. no. 41

Strengthening e-banking security using keystroke dynamics

This paper investigates keystroke dynamics and its possible use as a tool to prevent or detect fraud in the banking industry. Given that banks are constantly on the lookout for improved methods to address the menace of fraud, the paper sets out to review keystroke dynamics, its advantages, disadvantages and potential for improving the security of e-banking systems. This paper evaluates keystroke dynamics suitability of use for enhancing security in the banking sector. Results from the literature review found that keystroke dynamics can offer impressive accuracy rates for user identification. Low costs of deployment and minimal change to users modus operandi make this technology an attractive investment for banks. The paper goes on to argue that although this behavioural biometric may not be suitable as a primary method of authentication, it can be used as a secondary or tertiary method to complement existing authentication systems

"It may take ages":understanding human-centred lateral phishing attack detection in organisations

Smartphones are a central part of modern life and contain vast amounts of personal and professional data as well as access to sensitive features such as banking and financial apps. As such protecting our smartphones from unauthorised access is of great importance, and users prioritise this over protecting their devices against digital security threats. Previous research has explored user experiences of unauthorised access to their smartphone – though the vast majority of these cases involve an attacker who is known to the user and knows an unlock code for the device. We presented 374 participants with a scenario concerning the loss of their smartphone in a public place. Participants were allocated to one of 3 scenario groups where a different unknown individual with malicious intentions finds the device and attempts to gain access to its contents. After exposure, we ask participants to envision a case where someone they know has a similar opportunity to attempt to gain access to their smartphone. We compare these instances with respect to differences in the motivations of the attacker, their skills and their knowledge of the user. We find that participants underestimate how commonly people who know them may be able to guess their PIN and overestimate the extent to which smartphones can be ‘hacked into’. We discuss how concerns over the severity of an attack may cloud perceptions of its likelihood of success, potentially leading users to underestimate the likelihood of unauthorised access occurring from known attackers who can utilize personal knowledge to guess unlock codes