Enhancing Information Security Risk Management with Security Analytics: A Dynamic Capabilities Perspective

The importance of information security risk management (ISRM) and its potential strategic role in protecting organisational information assets is widely studied in literature. Less attention is given to how ISRM can be enhanced using security analytics to contribute to a competitive advantage. This paper proposes a model showing that security analytics capabilities (the ability to effectively use security data for informed security related decision making) and ISRM capabilities (the ability to effectively identify and protect organizational information assets) indirectly influence competitive advantage in ISRM through two key mediating links: analytics-enabled ISRM capabilities (the ability to effectively leverage insights gleaned from security data to make informed ISRM decisions) and ISRM dynamic capabilities (the ability to reconfigure analytics-enabled ISRM capabilities to address turbulent environments). Environmental turbulence moderates the process by which security analytics and ISRM capabilities influence competitive advantage. The paper concludes by calling for evaluation and refinement of the research model

TOWARD SUSTAINABLE BEHAVIOUR CHANGE: AN APPROACH FOR CYBER SECURITY EDUCATION TRAINING AND AWARENESS

Effective information security education, training and awareness (SETA) is essential for protecting organisational information resources. Whilst most organisations invest significantly in implementing SETA programs, the number of incidents resulting from employee noncompliance with security policy are increasing. This trend may indicate that many current SETA programs are not as effective as they should be. We argue that existing SETA programs are not optimal in changing employee behaviour to comply with security policy as they lack a theoretical base that can inform and guide the development of SETA programs. This study draws on knowledge from the medical domain on the use of theory to design an intervention to bring about sustainable behaviour change. The paper therefore adopts an intervention design process, based on the behaviour change wheel (BCW) framework, to develop a theory-informed SETA development process. The paper demonstrates the use of BCW in the analysis of the target behaviour and the selection of suitable strategies and techniques to change the target behaviour. The proposed SETA development process provides a sound basis for future empirical work including focus groups and action research

Enhancing Strategic Information Security Management in Organizations through Information Warfare Practices

Today’s organizations use control-centred security management systems as a preventative shield against a broad spectrum of attacks. However, these have proven to be less effective against the customized and innovative strategies and operational techniques used by Advanced Persistent Threats (APTs). In this short paper we argue that to combat APTs, organizations need a strategic-level shift away from a traditional prevention-cantered approach to that of a response-cantered one. Drawing on the information warfare (IW) paradigm in military studies, and using Dynamic Capability Theory (DCT), this research examines the applicability of IW capabilities in the corporate domain. We propose a research framework to argue that conventional prevention-centred response capabilities; such as incident response capabilities and IW-centred security capabilities can be integrated into IW-enabled dynamic response capabilities that improve enterprise security performance

Advancing fishery-independent stock assessments for the Norway lobster (Nephrops norvegicus) with new monitoring technologies

The Norway lobster, Nephrops norvegicus, supports a key European fishery. Stock assessments for this species are mostly based on trawling and UnderWater TeleVision (UWTV) surveys. However, N. norvegicus are burrowing organisms and these survey methods are unable to sample or observe individuals in their burrows. To account for this, UWTV surveys generally assume that "1 burrow system = 1 animal", due to the territorial behavior of N. norvegicus. Nevertheless, this assumption still requires in-situ validation. Here, we outline how to improve the accuracy of current stock assessments for N. norvegicus with novel ecological monitoring technologies, including: robotic fixed and mobile camera-platforms, telemetry, environmental DNA (eDNA), and Artificial Intelligence (AI). First, we outline the present status and threat for overexploitation in N. norvegicus stocks. Then, we discuss how the burrowing behavior of N. norvegicus biases current stock assessment methods. We propose that state-of-the-art stationary and mobile robotic platforms endowed with innovative sensors and complemented with AI tools could be used to count both animals and burrows systems in-situ, as well as to provide key insights into burrowing behavior. Next, we illustrate how multiparametric monitoring can be incorporated into assessments of physiology and burrowing behavior. Finally, we develop a flowchart for the appropriate treatment of multiparametric biological and environmental data required to improve current stock assessment methods

Working Group on Nephrops Surveys (WGNEPS outputs from 2021)

183 pages, figures, 6 annexesThe Working Group on Nephrops Surveys (WGNEPS) is the international coordination group for Nephrops underwater television and trawl surveys within ICES. This report summarizes the national contributions on the results of the surveys conducted in 2021 together with time series covering all survey years, problems encountered, data quality checks and technological improvements as well as the planning for survey activities for 2022. In total, 19 surveys covering 25 functional units (FU’s) in the ICES area and 1 geographical sub- area (GSA) in the Adriatic Sea were discussed and further improvements in respect to survey design and data analysis standardization and the use of recent technologies were reviewed. Due to the COVID-19 pandemic there were minimal disruptions to survey operations where one survey was not completed (GSA 17). A trial trawl Nephrops survey offshore Portugal was carried out on the new research vessel. Preliminary work on how to measure burrow system size was presented using high definition (HD) and standard definition (SD) image data. Further work on comparison of SD and HD indi- cates the change to HD system mounted with a different camera angle was not significantly different for two survey areas (FU 16 and FU 20-21). Automatic burrow detection based on deep learning methods continues to show promising re- sults where datasets from multiple institutes were used. The working group members have agreed to draft a roadmap for automatic system technology requirements with links to the Work- ing Group on Machine Learning in Marine Science (WGMLEARN) and current researchers. The working group is progressing plans for an international Nephrops Underwater television (UWTW) database to be established at the ICES Data Centre. End-users of UWTV datasets for epifauna reporting presented their work and showed the potential for adding value to the survey data, where many of the institutes are involved in providing data for similar research purposesPeer reviewe