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Scientific Journals
David Wright, Krzysztof Garstka, & Richa Kumar
Law enforcement agencies (LEAs) face serious challenges in addressing the growing wave of cybercrime across Europe. They have limited human and financial resources to push back against this wave. Their tools and technologies are often a generation behind those of cybercriminals and terrorists on the dark web, deep web and dark nets. LEAs have to operate with ethical, data protection and social constraints that are meaningless to cybercriminals. They also have to respect national borders that don’t exist in cyberspace. This article briefly refers to the economic and social impacts of cybercrime, before discussing some of the principal challenges facing LEAs in responding to those impacts. We then focus on the EU-funded CC-DRIVER project, which is helping LEAs to address those challenges. Finally, we draw some conclusions on the near-term future of responses to cybercrime
Wright, D., Garstka, K., & Kumar, R. (2021). Rising to the proliferation of cybercrime challenging law enforcement agencies across Europe. European Law Enforcement Research Bulletin, 21, 81-98.
Kitty Klioski & Nineta Polemi
Cyber attackers continuously show new levels of intention by performing more sophisticated attacks on networks and important infrastructures (e.g., hospitals). This is an urgent situation calling for a swift improvement for cyber defenders. Hence, a paradigm shift is necessary to ameliorate the effectiveness of current practices. Behavioural, social and psychological related information about the attackers is considered in this paper, important elements of the Cyber Threat Intelligence (CTI) that improve cyber defense practices. The aims of this paper are to firstly provide a review of relevant behavioural and social theories and models that can be used for better capturing the attackers’ characteristics and then to utilize them by giving insights on more realistic security measurements.
Klioski, K. & Polemi, N. (2020). Psychosocial approach to cyber threat intelligence. International Journal of Chaotic Computing, 7(1), 159-165.