Data security is regarded to be one of the crucial challenges in this fast-growing internet
world. Data generated through internet is exposed to various types of vulnerabilities and …

Today, challenges such as a high false‐positive rate, a low detection rate, a slow processing
speed, and a big feature dimension are all part of intrusion detection. To address these …

Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …

An intrusion detection system works to recognize the attacks using either the signature or
signature-less method. The signature-less method suffers from a lot of false alarms that …

Purpose: The authors attempt to examine the work done in the area of Intrusion Detection
System in IoT utilizing Machine Learning/Deep Learning technique and various accessible …

The increased adoption of cloud computing resources produces major loopholes in cloud
computing for cybersecurity attacks. An intrusion detection system (IDS) is one of the vital …

With IoT technology bringing a large number of day-to-day objects into the digital fold to
make them smarter. It is also evident that the IoT technology is going to transform into a multi …

The growing rate of cyber-attacks on system networks in recent years exacerbates the
privacy and security of computer infrastructure and personal computers. Intrusion Detection …

Recently, due to the rapid development and remarkable result of deep learning (DL) and
machine learning (ML) approaches in various domains for several long-standing artificial …

Due to the increasing development and applications of the Internet of Things (IoT), detection
and prevention of intruders into the network and devices has gained much attention in the …