Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Alevizos P"'
Autor:
Alevizos, Vasileios, Papakostas, George A, Simasiku, Akebu, Malliarou, Dimitra, Messinis, Antonis, Edralin, Sabrina, Xu, Clark, Yue, Zongliang
Publikováno v:
2024 5th International Conference on Data Analytics for Business and Industry (ICDABI)
While new technologies emerge, human errors always looming. Software supply chain is increasingly complex and intertwined, the security of a service has become paramount to ensuring the integrity of products, safeguarding data privacy, and maintainin
Externí odkaz:
http://arxiv.org/abs/2412.19088
Autor:
Alevizos, Vasileios, Gerolimos, Nikitas, Edralin, Sabrina, Xu, Clark, Simasiku, Akebu, Priniotakis, Georgios, Papakostas, George, Yue, Zongliang
One requirement of maintaining digital information is storage. With the latest advances in the digital world, new emerging media types have required even more storage space to be kept than before. In fact, in many cases it is required to have larger
Externí odkaz:
http://arxiv.org/abs/2412.11236
Autor:
Alevizos, Lampis, Ta, Vinh Thong
To address the challenges of internal security policy compliance and dynamic threat response in organizations, we present a novel framework that integrates artificial intelligence (AI), blockchain, and smart contracts. We propose a system that automa
Externí odkaz:
http://arxiv.org/abs/2409.08390
We present a system for Complex Event Recognition (CER) based on automata. While multiple such systems have been described in the literature, they typically suffer from a lack of clear and denotational semantics, a limitation which often leads to con
Externí odkaz:
http://arxiv.org/abs/2407.02884
Autor:
Alevizos, Lampis, Ta, Vinh-Thong
In the dynamic cyber threat landscape, effective decision-making under uncertainty is crucial for maintaining robust information security. This paper introduces the Cyber Resilience Index (CRI), a threat-informed probabilistic approach to quantifying
Externí odkaz:
http://arxiv.org/abs/2406.19374
This paper introduces a value-driven cybersecurity innovation framework for the transportation and infrastructure sectors, as opposed to the traditional market-centric approaches that have dominated the field. Recontextualizing innovation categories
Externí odkaz:
http://arxiv.org/abs/2405.07358
Autor:
Alevizos, Vasileios, Edralin, Sabrina, Simasiku, Akebu, Malliarou, Dimitra, Messinis, Antonis, Papakostas, George, Xu, Clark, Yue, Zongliang
Dyslexia and dysgraphia are learning disabilities that profoundly impact reading, writing, and language processing capabilities. Dyslexia primarily affects reading, manifesting as difficulties in word recognition and phonological processing, where in
Externí odkaz:
http://arxiv.org/abs/2405.07238
Autor:
Alevizos, Lampis, Dekker, Martijn
Cyber threats continue to evolve in complexity, thereby traditional Cyber Threat Intelligence (CTI) methods struggle to keep pace. AI offers a potential solution, automating and enhancing various tasks, from data ingestion to resilience verification.
Externí odkaz:
http://arxiv.org/abs/2403.03265
Autor:
Alevizos, Vasileios, Georgousis, Ilias, Simasiku, Akebu, Karypidou, Sotiria, Messinis, Antonis
The rise of advanced technology in project management (PM) highlights a crucial need for inclusiveness. This work examines the enhancement of both inclusivity and efficiency in PM through technological integration, focusing on defining and measuring
Externí odkaz:
http://arxiv.org/abs/2311.11159
Various studies have been conducted in the fields of sustainable operations management, optimization, and wastewater treatment, yielding unsubstantiated recovery. In the context of Europes climate neutrality vision, this paper reviews effective decar
Externí odkaz:
http://arxiv.org/abs/2308.00808