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Showing 20 of 1,262 academic articles
Jon Clay • Wiley eBooks
(2023)
Cybersecurity has evolved over the years to become a critical component for businesses and individuals alike. As malicious actors have grown in numbers and continued to change their tactics, techniques, and procedures (TTPs), the cybersecur...
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DOI: https://doi.org/10.1002/9781119987635.ch22
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo et al. • Advances in computational intelligence and robotics book series
(2024)
In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...
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DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002
Florian J. Egloff (2022)
Abstract What does the global telecommunications company Huawei, a hacking-for-hire outfit in India, and Russian cyber criminals have in common? They all share a special relationship to the state, which significantly shapes the politics of ...
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DOI: https://doi.org/10.1093/oso/9780197579275.001.0001
Arunesh Sinha, Thanh H. Nguyen, Debarun Kar, Matthew Brown et al. • Journal of Cybersecurity
(2015)
Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or alloca...
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DOI: https://doi.org/10.1093/cybsec/tyv007
Fernando Luís Almeida • Future Internet
(2023)
The complex and interconnected infrastructure of smart cities offers several opportunities for attackers to exploit vulnerabilities and carry out cyberattacks that can have serious consequences for the functioning of cities’ critical infras...
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DOI: https://doi.org/10.3390/fi15090285
Elias Dritsas, Μαρία Τρίγκα • Future Internet
(2025)
The proliferation of the Internet of Things (IoT) has transformed the digital landscape, enabling a vast array of interconnected devices to communicate and share data seamlessly. However, the rapid expansion of IoT networks has also introdu...
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DOI: https://doi.org/10.3390/fi17010030
Cláudia Canongia, Raphael Mandarino • IGI Global eBooks
(2011)
This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...
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DOI: https://doi.org/10.4018/978-1-61350-168-9.ch009
Junjian Qi, Adam Hahn, Xiaonan Lu, Jianhui Wang et al. • IET Cyber-Physical Systems Theory & Applications
(2016)
The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third‐parties. These devices have a significant dependency on digital communica...
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DOI: https://doi.org/10.1049/iet-cps.2016.0018
Eric A. Fischer • University of North Texas Digital Library (University of North Texas)
(2014)
The information and communications technology (ICT) industry has evolved greatly over the last half century. The technology is ubiquitous and increasingly integral to almost every facet of modern society. ICT devices and components are gene...
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Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio et al. • Cognition Technology & Work
(2021)
Computer and Information Security (CIS) is usually approached adopting a technology-centric viewpoint, where the human components of sociotechnical systems are generally considered as their weakest part, with little consideration for the en...
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DOI: https://doi.org/10.1007/s10111-021-00683-y
PMC: 8195225
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
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DOI: https://doi.org/10.1109/access.2023.3300381
Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri et al. • Sensors
(2023)
This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant...
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DOI: https://doi.org/10.3390/s23156666
PMC: 10422504
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Abdalmuttaleb M. A. Musleh Al-Sartawi • International Journal of Critical Infrastructures
(2020)
Security breaches are very costly in the USA, followed very closely by the Middle East. Shareholders and investors demand that their firms mitigate all kinds of risks, and it is the responsibility of the BOD to gain and maintain their confi...
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DOI: https://doi.org/10.1504/ijcis.2020.10029173
S. Srisakthi, C. V. Suresh Babu • Advances in business information systems and analytics book series
(2024)
The chapter thoroughly explores the multifaceted cybersecurity landscape's significance in safeguarding business intelligence amid rapid technological evolution. It starts with an overview of cybersecurity, defining its scope, exploring its...
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DOI: https://doi.org/10.4018/979-8-3693-0839-4.ch001
Eric C. K. Cheng, Tianchong Wang • Information
(2022)
Cybersecurity threats have grown exponentially, posing a heavy burden on organisations. Higher Education Institutions (HEIs) are particularly vulnerable, and their cybersecurity issues are receiving greater attention. However, existing rese...
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DOI: https://doi.org/10.3390/info13040192
Diane J. Litman • Proceedings of the AAAI Conference on Artificial Intelligence
(2016)
Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the ne...
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Open Access
DOI: https://doi.org/10.1609/aaai.v30i1.9879
Renáta Németh, Júlia Koltai • Intersections
(2023)
Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...
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DOI: https://doi.org/10.17356/ieejsp.v9i1.871
Joydeep Bhattacharjee • Apress eBooks
(2019)
In the previous chapters, we took a look at different machine learning algorithms and then we worked on how to work with data for those algorithms. Those data sets were largely tabular, and the individual values were either numerical or cat...
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DOI: https://doi.org/10.1007/978-1-4842-5121-8_5
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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DOI: https://doi.org/10.1162/coli_r_00312