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Academic Articles & Research Papers
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Vivek S Kale • CRC Press eBooks
(2018)
The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...
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DOI: https://doi.org/10.1201/9780429453311-9
Farhad Foroughi, Peter Luksch (2018)
Cybersecurity solutions are traditionally static and signature-based.The traditional solutions along with the use of analytic models, machine learning and big data could be improved by automatically trigger mitigation or provide relevant aw...
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Open Access
DOI: https://doi.org/10.5121/csit.2018.80401
Yang Xin, Lingshuang Kong, Zhi Liu, Yuling Chen et al. • IEEE Access
(2018)
With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys on machine learning (ML) and deep learning (DL) methods for net...
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Open Access
DOI: https://doi.org/10.1109/access.2018.2836950
Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang et al. • Engineering
(2018)
Cyberattack forms are complex and varied, and the detection and prediction of dynamic types of attack are always challenging tasks. Research on knowledge graphs is becoming increasingly mature in many fields. At present, it is very signific...
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DOI: https://doi.org/10.1016/j.eng.2018.01.004
Akhil John Mampilly, Vijaya Kittu Manda, Chithirai Pon Selvan • Advances in information security, privacy, and ethics book series
(2024)
Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...
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DOI: https://doi.org/10.4018/979-8-3693-9225-6.ch003
Feixue Yan, Sheng Wen, Surya Nepal, Cécile L. Paris et al. • International Journal of Intelligent Systems
(2022)
Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, suc...
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DOI: https://doi.org/10.1002/int.23088
Ludwig Slusky • Journal of international technology and information management
(2020)
The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational c...
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Open Access
DOI: https://doi.org/10.58729/1941-6679.1445
Shahrin Sadik, Mohiuddin Ahmed, Leslie F. Sikos, A.K.M. Najmul Islam • Computers
(2020)
Cybersecurity issues constitute a key concern of today’s technology-based economies. Cybersecurity has become a core need for providing a sustainable and safe society to online users in cyberspace. Considering the rapid increase of technolo...
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DOI: https://doi.org/10.3390/computers9030074
Sherali Zeadally, Erwin Adi, Zubair Ahmed Baig, Imran Ali Khan • IEEE Access
(2020)
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the origina...
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DOI: https://doi.org/10.1109/access.2020.2968045
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data
(2023)
The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...
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Open Access
DOI: https://doi.org/10.1145/3610228
Patrice Seuwou • Routledge eBooks
(2025)
In an increasingly digital business landscape, cybersecurity has evolved from a technical concern to a strategic imperative. As organisations shift operations online, the complexities and potential consequences of cyber threats have grown e...
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DOI: https://doi.org/10.4324/9781032672458-10
Tim Stevens • Digital War
(2020)
Abstract Cybersecurity protects citizens and society from harm perpetrated through computer networks. Its task is made ever more complex by the diversity of actors—criminals, spies, militaries, hacktivists, firms—operating in global informa...
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DOI: https://doi.org/10.1057/s42984-020-00007-w
Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
(2019)
Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...
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DOI: https://doi.org/10.1002/widm.1306
Leslie F. Sikos • Knowledge and Information Systems
(2023)
Abstract Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist s...
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DOI: https://doi.org/10.1007/s10115-023-01860-3
Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi et al. • International Conference on Information Systems Security and Privacy (ICISSP)
(2025)
The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across divers...
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DOI: https://doi.org/10.5220/0013377600003899
Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, Nikhitha Yathiraju • IJARCCE
(2022)
Artificial intelligence is opening up new avenues for value generation in enterprises, industries, communities, and society as a whole.Technology has been researched to be relevant in many aspects of the world.This factor has made it to be ...
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DOI: https://doi.org/10.17148/ijarcce.2022.11912
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
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