Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …
security of interconnected devices and networks. This necessitates the use of efficient …
[PDF][PDF] Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated human activity recognition
T Thanarajan, Y Alotaibi, S Rajendran… - AIMS …, 2023 - aimspress.com
Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated
human activity recognition Page 1 AIMS Mathematics, 8(5): 12520–12539. DOI: 10.3934/math.2023629 …
human activity recognition Page 1 AIMS Mathematics, 8(5): 12520–12539. DOI: 10.3934/math.2023629 …
An overview of cyber threats generated by AI
Artificial intelligence's (AI) quick development has drastically changed cyber security by
bringing in both sophisticated cyber threats and cutting-edge defenses. This research paper …
bringing in both sophisticated cyber threats and cutting-edge defenses. This research paper …
Binary Hunter–Prey Optimization with Machine Learning—Based Cybersecurity Solution on Internet of Things Environment
Internet of Things (IoT) enables day-to-day objects to connect with the Internet and transmit
and receive data for meaningful purposes. Recently, IoT has resulted in many revolutions in …
and receive data for meaningful purposes. Recently, IoT has resulted in many revolutions in …
Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment
With the fast-growing interconnection of smart technologies, the Industrial Internet of Things
(IIoT) has revolutionized how industries work by connecting devices and sensors and …
(IIoT) has revolutionized how industries work by connecting devices and sensors and …
SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics
T Tu, Y Su, Y Tang, G Guo, W Tan, S Ren - Wireless Networks, 2024 - Springer
IoT applications have greatly improved the convenience of our lives, generating large
amounts of IoT data. How to efficiently use these data to feed IoT applications has become a …
amounts of IoT data. How to efficiently use these data to feed IoT applications has become a …
SecEdge: A Novel Deep Learning Framework for Real-Time Cybersecurity in Mobile IoT Environments
The rapid growth of Internet of Things (IoT) devices presents significant cybersecurity
challenges due to their diverse and resource-constrained nature. Existing security solutions …
challenges due to their diverse and resource-constrained nature. Existing security solutions …
[HTML][HTML] Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review
The Internet of Things (IoT) has radically changed the industrial world, enabling the
integration of numerous systems and devices into the industrial ecosystem. There are many …
integration of numerous systems and devices into the industrial ecosystem. There are many …