Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security …
Recently, machine learning algorithms have been used to identify Internet of Things (IoT) devices and events. However, existing proposals may inspect the packet payload, what …
Attackers are perpetually modifying their tactics to avoid detection and frequently leverage legitimate credentials with trusted tools already deployed in a network environment, making …
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size- fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
Due to the potentially catastrophic effects in the event of an attack, security-enabled design and algorithms are required to protect automated applications and instruments based on …
In the last decade, the devices and appliances utilizing the Internet of Things (IoT) have expanded tremendously, which has led to revolutionary developments in the network …
P William, S Choubey, A Choubey… - … Intelligence for the Dark …, 2022 - igi-global.com
Security breaches may be difficult to detect because attackers are continually tweaking methods to evade detection and utilize legitimate credentials that have already been …
WiFi connections are vulnerable to simulated attacks from rogue access points (APs) or devices whose SSID and/or MAC/IP address are the same as legitimate devices. This kind of …
Network telescopes or “Darknets” received unsolicited Internet-wide traffic, thus providing a unique window into macroscopic Internet activities associated with malware propagation …