Cyber situational awareness is key to mitigating the impacts of cyber threats. However, maritime falls short of its comparative industries, with very little attention given to cyber threats despite the growing concern. In this paper, we explore the use of visualisations as a way to improve the situational awareness of non-experts onboard ships. We designed a visualisation tool with focus on systems that are accessible once onboard. In order to elicit requirements for our visualisations, we conducted semi-structured interviews with experts. We further created a synthetic dataset of attacks that target the systems of ships, which we used to assess the usability of our visualisation. In order to evaluate our visualisations, we conducted a user study with both expert and non-expert users. Our results show that non-expert participants were able to accurately and efficiently detect synthetic attacks targeting ships in an experimental setting, and they were able to use the visualisation to consider what the consequences of these attacks might be. Expert evaluations further suggest the visualisation has merit as a training tool for raising awareness among maritime employees.

In the face of increasing numbers of cyber-attacks, it is critical for organisations to understand the risk they are exposed to even after deploying security controls. This residual risk forms part of the ongoing operational environment, and must be understood and planned for if resilience is to be achieved. However, there is a lack of rigorous frameworks to help organisations reason about how their use of risk controls can change the nature of the potential losses they face, given an often changing threat landscape. To address this gap, we present a system that calculates Cyber Value-at-Risk (CVaR) of an organisation. CVaR is a probabilistic density function for losses from cyber-incidents, for any given threats of interest and risk control practice. It can take account of varying effectiveness of controls, the consequences for risk propagation through infrastructures, and the cyber-harms that result. We demonstrate the utility of the system in a real case study by calculating the CVaR of an organisation that experienced a significant cyber-incident. We show that the system is able to produce predictions representative of the actual financial loss. The presented system can be used by insurers offering cyber products to better inform the calculation of insurance premiums, and by organisations to reason about the effects of using particular risk control setups on reducing their exposure to cyber-risk.

Cybersecurity practitioners working in organisations implement risk controls aiming to improve the security of their systems. Determining prioritisation of the deployment of controls and understanding their likely impact on overall cybersecurity posture is challenging, yet without this understanding there is a risk of implementing inefficient or even harmful security practices. There is a critical need to comprehend the value of controls in reducing cyber-risk exposure in various organisational contexts, and the factors affecting their usage. Such information is important for research into cybersecurity risk and defences, for supporting cybersecurity decisions within organisations, and for external parties guiding cybersecurity practice such as standards bodies and cyber-insurance companies.

As cybersecurity breaches continue to increase in number and cost, and the demand for cyber-insurance rises, the ability to reason accurately about an organisation’s residual risk is of paramount importance. Security controls are integral to risk practice and decision-making: organisations deploy controls in order to reduce their risk exposure, and cyber-insurance companies provide coverage to these organisations based on their cybersecurity posture. Therefore, in order to reason about an organisation’s residual risk, it is critical to possess an accurate understanding of the controls organisations have in place and of the influence that these controls have on the likelihood that organisations will be harmed by a cyber-incident. Supporting evidence, however, for the effectiveness of controls is often lacking. With the aim of enriching internal threat data, in this article we explore a practical exercise in the form of a capture-the-flag (CTF) study. We experimented with a set of security controls and invited four professional penetration testers to solve the challenges. The results indicate that CTFs are a viable path for enriching threat intelligence and examining security controls, enabling us to begin to theorise about the relative effectiveness of certain risk controls on the face of threats, and to provide some recommendations for strengthening the cybersecurity posture.

Sonification (the representation of data as sound) may offer a solution to some of the network-security monitoring challenges faced in security operations centres (SOCs). Prior work has shown that sonification can present network-security information to humans effectively, and indicated that security practitioners foresee potential for sonification to aid in scenarios related to their work. The use of sonification by security practitioners in tasks relevant to SOCs has not been examined, however. To address this gap, we assessed the use of sonification by security practitioners in network-security monitoring tasks in an experimental setting. We report on the results of a study in which we compared the performance of security practitioners using a Security Information and Event Management (SIEM) tool with their performance using a SIEM tool that incorporated sonification, in a primary and a non-primary monitoring task. In both tasks, a number of aspects of the monitoring performance of participants were significantly improved when sonification was used. Our results support the potential for sonification to aid in SOC tasks, and indicate a need to validate the utility of sonification systems by running them in operational SOCs.

Conventional public-key infrastructure (PKI) designs using certificate authorities and web-of-trust are not optimal and have security flaws. The properties afforded by the Bitcoin blockchain are a natural solution to some of the problems with PKI - in particular, certificate transparency and elimination of single points-offailure. Proposed blockchain-based PKI designs are built as public ledgers linking identity with public key, providing no privacy. We consider cases requiring privacy-aware PKIs, which do not link identity with public key. We show that blockchain technology can be used to construct a privacy-aware PKI while eliminating some of the problems of conventional PKI, and present PB-PKI, a privacy-aware blockchain-based PKI.