Botnets unveiled: A comprehensive survey on evolving threats and defense strategies

M Asadi, MAJ Jamali, A Heidari… - Transactions on …, 2024 - Wiley Online Library
Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …

[HTML][HTML] Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration

A Nazir, J He, N Zhu, A Wajahat, F Ullah… - Journal of King Saud …, 2024 - Elsevier
Ensuring robust security in the Internet of Things (IoT) landscape is of paramount
importance. This research article presents a novel approach to enhance IoT security by …

[HTML][HTML] A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem

A Nazir, J He, N Zhu, SS Qureshi, SU Qureshi… - Ain Shams Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) landscape is witnessing rapid growth, driven by
continuous innovation and a simultaneous increase in cybersecurity threats. As these …

Internet of Things Intrusion Detection System: A Systematic Study of Artificial Intelligence, Deep Learning, and Machine Learning Approaches

JB Awotunde, AO Babatunde, RG Jimoh… - Big Data and Edge …, 2024 - taylorfrancis.com
The Internet of Things (IoT) intrusion detection system (IDS) is a comprehensive study that
explores various artificial intelligence (AI), deep learning (DL), and machine learning (ML) …

[PDF][PDF] Enhancing Real-Time Malware Analysis with Quantum Neural Networks

T Bikku, SB Chandolu, SP Praveen… - Journal of Intelligent …, 2024 - researchgate.net
Abstract The proposed Quantum Neural Networks (QNN) perform better than traditional
machine learning models. The escalating complexity of malware poses a significant …

[HTML][HTML] Botnet sequential activity detection with hybrid analysis

MAR Putra, T Ahmad, DP Hostiadi… - Egyptian Informatics …, 2024 - Elsevier
Botnet is one type of malware that infects devices to carry out illegal activities controlled by a
botmaster. Many previous studies detected botnets as a single activity while botnet activities …

[PDF][PDF] A New Deep Learning Paradigm for IoT Security: Expanding Beyond Traditional DDoS Detection

SS Qureshi, J He, N Zhu, M Jia, S Qureshi… - … Journal of Network …, 2024 - ijns.jalaxy.com.tw
With the proliferation of Things connected to the Internet (IoT), network vulnerabilities to
Attacks known as distributed denial of service (DDoS) have escalated. Conventional DDoS …

Security Analysis for Smart Healthcare Systems

M Ibrahim, A Al-Wadi, R Elhafiz - Sensors, 2024 - mdpi.com
The healthcare industry went through reformation by integrating the Internet of Medical
Things (IoMT) to enable data harnessing by transmission mediums from different devices …

An Attention-Based Approach to Enhance the Detection and Classification of Android Malware.

A Ghourabi - Computers, Materials & Continua, 2024 - search.ebscohost.com
The dominance of Android in the global mobile market and the open development
characteristics of this platform have resulted in a significant increase in malware. These …

Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain

A Nazir, J He, N Zhu, MS Anwar, MS Pathan - Cluster Computing, 2024 - Springer
The recent expansion of the IoT ecosystem has not only significantly increased connectivity
but also introduced new security challenges. To address emerging security challenges, this …