A comprehensive study of DDoS attacks over IoT network and their countermeasures
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …
education, home, vehicles, or healthcare. With the increase in the number of connected …
Distributed denial of service attack prediction: Challenges, open issues and opportunities
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …
DDoS attacks have evolved in quantity and volume to evade detection and increase …
Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …
possible by the advancement of various modern technologies such as the internet of things …
Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
[PDF][PDF] Two-stage hybrid malware detection using deep learning
With the increasing number and variety of Internet of Things (IoT) devices supporting a wide
range of services such as smart homes, smart transportation, and smart factories in smart …
range of services such as smart homes, smart transportation, and smart factories in smart …
An intelligent blockchain-based secure link failure recovery framework for software-defined internet-of-things
The frequency of link failures in Internet-of-Things (IoT) network are more than the node
failures. Hence, effective link recovery schemes are required for a seamless communication …
failures. Hence, effective link recovery schemes are required for a seamless communication …
MalBoT-DRL: Malware botnet detection using deep reinforcement learning in IoT networks
In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …
[HTML][HTML] Threat modeling in smart firefighting systems: Aligning MITRE ATT&CK matrix and NIST security controls
Industrial automation technologies are envisioned as multi-device systems that are
constantly interacting with one another and with enterprise systems. In these industrial …
constantly interacting with one another and with enterprise systems. In these industrial …