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 …
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
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 …
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 …
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) …
explores various artificial intelligence (AI), deep learning (DL), and machine learning (ML) …
[PDF][PDF] Enhancing Real-Time Malware Analysis with Quantum Neural Networks
Abstract The proposed Quantum Neural Networks (QNN) perform better than traditional
machine learning models. The escalating complexity of malware poses a significant …
machine learning models. The escalating complexity of malware poses a significant …
[HTML][HTML] Botnet sequential activity detection with hybrid analysis
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 …
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 …
Attacks known as distributed denial of service (DDoS) have escalated. Conventional DDoS …
Security Analysis for Smart Healthcare Systems
The healthcare industry went through reformation by integrating the Internet of Medical
Things (IoMT) to enable data harnessing by transmission mediums from different devices …
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 …
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
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 …
but also introduced new security challenges. To address emerging security challenges, this …