Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
[HTML][HTML] Combining Edge Computing-Assisted Internet of Things Security with Artificial Intelligence: Applications, Challenges, and Opportunities
The integration of edge computing with IoT (EC-IoT) systems provides significant
improvements in addressing security and privacy challenges in IoT networks. This paper …
improvements in addressing security and privacy challenges in IoT networks. This paper …
A novel deep learning-based intrusion detection system for IoT DDoS security
Intrusion detection systems (IDS) for IoT devices are critical for protecting against a wide
range of possible attacks when dealing with Distributed Denial of Service (DDoS) attacks …
range of possible attacks when dealing with Distributed Denial of Service (DDoS) attacks …
[HTML][HTML] Moving object detection using modified GMM based background subtraction
Academics have become increasingly interested in creating cutting-edge technologies to
enhance Intelligent Video Surveillance (IVS) performance in terms of accuracy, speed …
enhance Intelligent Video Surveillance (IVS) performance in terms of accuracy, speed …
[HTML][HTML] A model for multi-attack classification to improve intrusion detection performance using deep learning approaches
This proposed model introduces novel deep learning methodologies. The objective here is
to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep …
to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep …
[HTML][HTML] Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks
Combining the metaverse and the Internet of Things (IoT) will lead to the development of
diverse, virtual, and more advanced networks in the future. The integration of IoT networks …
diverse, virtual, and more advanced networks in the future. The integration of IoT networks …
Detection and classification of novel attacks and anomaly in IoT network using rule based deep learning model
Attackers are now using sophisticated techniques, like polymorphism, to change the attack
pattern for each new attack. Thus, the detection of novel attacks has become the biggest …
pattern for each new attack. Thus, the detection of novel attacks has become the biggest …
ROAST-IoT: a novel range-optimized attention convolutional scattered technique for intrusion detection in IoT networks
The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …
the volume and complexity of IoT systems, there are also new security issues. Intrusion …
Techniques of Machine Learning for the Purpose of Predicting Diabetes Risk in PIMA Indians
Chronic Metabolic Syndrome Diabetes is often called a “silent killer” due to how little
symptoms appear early on. High blood sugar occurs in people with diabetes because their …
symptoms appear early on. High blood sugar occurs in people with diabetes because their …
IoT Network Attack Severity Classification
Lack of network security is a major roadblock for Internet of Things (IoT) implementations.
New attacks have emerged in recent times, taking advantage of vulnerabilities in IoT …
New attacks have emerged in recent times, taking advantage of vulnerabilities in IoT …