Nikolaos Tsinganos

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Alexander K. Saeri, Jess Graham, Michael Noetel, Peter Slattery et autres

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritization: we must understand which risks are most severe, who is most vulnerable, and who is most responsible for addressing them. We …

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Alexander K. Saeri, Jess Graham, Michael Noetel, Peter Slattery et autres

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritization: we must understand which risks are most severe, who is most vulnerable, and who is most responsible for addressing them. We …

au, ca, lt, us, cn (code pays fourni par la source)

INFFLOW-RT: A real-rime, adaptive methodology for risk-based information flow control in IIoT

Argiro Anagnostopoulou, Nikolaos Tsinganos, Jason Chatzopoulos, Ioannis K. Mavridis et autres

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CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition

Nikolaos Tsinganos, Panagiotis Fouliras, Ioannis K. Mavridis, Dimitris A. Gritzalis

With the increasing prevalence of chat-based social engineering (CSE) attacks targeting unsuspecting users, the need for robust defenses has never been more critical. In this paper, we introduce Chat-based Social Engineering Attack Recognition System (CSE-ARS), an innovative and effective CSE defense system. …

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Leveraging Dialogue State Tracking for Zero-Shot Chat-Based Social Engineering Attack Recognition

Nikolaos Tsinganos, Panagiotis Fouliras, Ioannis K. Mavridis

Human-to-human dialogues constitute an essential research area for linguists, serving as a conduit for knowledge transfer in the study of dialogue systems featuring human-to-machine interaction. Dialogue systems have garnered significant acclaim and rapid growth owing to their deployment in applications such as …

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Applying BERT for Early-Stage Recognition of Persistence in Chat-Based Social Engineering Attacks

Nikolaos Tsinganos, Panagiotis Fouliras, Ioannis K. Mavridis

Chat-based social engineering (CSE) attacks are attracting increasing attention in the Small-Medium Enterprise (SME) environment, given the ease and potential impact of such an attack. During a CSE attack, malicious users will repeatedly use linguistic tricks to eventually deceive their victims. Thus, …

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The FORTIKA Accelerated Edge Solution for Automating SMEs Security

Evangelos Markakis, Yannis Nikoloudakis, Evangelos Pallis, Ales Černivec et autres

Although the recent trend for the term “cyber-attack” is restricted for incidents causing physical damage, it has been traditionally used to describe a broader range of attempts to make unauthorized use of an asset related to computer information systems, computer networks, or …

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Utilizing Convolutional Neural Networks and Word Embeddings for Early-Stage Recognition of Persuasion in Chat-Based Social Engineering Attacks

Nikolaos Tsinganos, Ioannis K. Mavridis, Dimitris A. Gritzalis

Social engineering is widely recognized as the key to successful cyber-attacks. Chat-based social engineering (CSE) attacks are attracting increasing attention because of recent changes in the digital work environment. Sophisticated CSE attacks target human personality traits, and persuasion is regarded as the …

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Building and Evaluating an Annotated Corpus for Automated Recognition of Chat-Based Social Engineering Attacks

Nikolaos Tsinganos, Ioannis K. Mavridis

Chat-based Social Engineering (CSE) is widely recognized as a key factor to successful cyber-attacks, especially in small and medium-sized enterprise (SME) environments. Despite the interest in preventing CSE attacks, few studies have considered the specific features of the language used by the …

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Towards an Automated Recognition System for Chat-based Social Engineering Attacks in Enterprise Environments

Nikolaos Tsinganos, Georgios Sakellariou, Panagiotis Fouliras, Ioannis K. Mavridis

Increase in usage of electronic communication tools (email, IM, Skype, etc.) in enterprise environments has created new attack vectors for social engineers. Billions of people are now using electronic equipment in their everyday workflow which means billions of potential victims of Social …

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