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Academic Articles & Research Papers
Showing 20 of 30 academic articles
Abdullahi Chowdhury, Gour Karmakar, Joarder Kamruzzaman, Rajkumar Das et al. • Sensors
(2023)
The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can...
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Open Access (DOAJ)
DOI: 10.3390/s23104646
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
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
Kutub Thakur, Al‐Sakib Khan Pathan • CRC Press eBooks
(2020)
Cybersecurity Fundamentals: A Real-World Perspective explains detailed concepts within computer networks and computer security in an easy-to-understand way, making it the perfect introduction to the topic. This book covers fundamental issue...
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DOI: https://doi.org/10.1201/9781003035626
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
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
Vipin Kumar • IEEE Distributed Systems Online
(2005)
Parallel and distributed data mining offer great promise for addressing cybersecurity. The Minnesota Intrusion Detection System can detect sophisticated cyberattacks on large-scale networks that are hard to detect using signature-based syst...
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DOI: https://doi.org/10.1109/mdso.2005.53
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
James Cannady (1998)
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expe...
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Hashim Hussain, Shailendra Mishra, Reem Alshenaifi • PLoS ONE
(2026)
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-enabled cyber threats, but introduced heightened cybersecurity risks, particularly from emer...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0348600
Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access
(2024)
The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3393998
Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction
(2025)
The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...
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Open Access (DOAJ)
DOI: 10.54216/JCHCI.100201
Jinyi Wang, Congyuan Xu, Jun Yang • Entropy
(2026)
Low-rate Denial-of-Service (LDoS) attacks exploit periodic traffic pulses to trigger congestion while maintaining a low average rate, making them highly stealthy and difficult to distinguish from legitimate bursty traffic using threshold-ba...
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Open Access (DOAJ)
DOI: 10.3390/e28030328
Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones
(2025)
Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...
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Open Access (DOAJ)
DOI: 10.3390/drones9010046
Nicola Capuano, Giuseppe Fenza, Vincenzo Loia, Claudio Stanzione • IEEE Access
(2022)
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being’s daily life. Despite the AI benefits, its application suffer from the opacity of complex internal mechanisms and doesn’t satisfy by design the principles...
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DOI: https://doi.org/10.1109/access.2022.3204171
Jae Hwan Kim, Kwang Seop Son, Jae Gu Song, Yong Gu Lee et al. • Nuclear Engineering and Technology
(2026)
The increasing digitalization of Instrumentation and Control (I&C) systems in Nuclear Power Plants (NPPs) has improved operational efficiency while introducing cybersecurity vulnerabilities. Conventional network-based intrusion detection sy...
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Open Access (DOAJ)
DOI: 10.1016/j.net.2025.103879
Jake Ryan, Meng-Jang Lin, Risto P Miikkulainen (1997)
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. Methods of intrusio...
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Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar • Applied Sciences
(2025)
In the rapid development of the Internet of Things (IoT) and large-scale distributed networks, Intrusion Detection Systems (IDS) face significant challenges in handling complex spatiotemporal features and addressing data imbalance issues. T...
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Open Access (DOAJ)
DOI: 10.3390/app15031552
Ahmad Y. Javaid, Quamar Niyaz, Weiqing Sun, Mansoor Alam • International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS)
(2016)
A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches in their organizations. However, many challenges arise while developing a flexible and efficient NIDS for unforeseen and unpredictab...
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DOI: https://doi.org/10.4108/eai.3-12-2015.2262516
Asmaa Hani Halbouni, Teddy Surya Gunawan, Mohamed Hadi Habaebi, Murad Halbouni et al. • IEEE Access
(2022)
The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing. As a result, an effective intrusion detection system was required to protect data...
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DOI: https://doi.org/10.1109/access.2022.3151248