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 …
Blockchain for modern applications: A survey
Blockchain is a modern technology that has revolutionized the way society interacts and
trades. It could be defined as a chain of blocks that stores information with digital signatures …
trades. It could be defined as a chain of blocks that stores information with digital signatures …
A novel deep learning-based intrusion detection system for IOT networks
A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
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 …
Are formal methods applicable to machine learning and artificial intelligence?
Formal approaches can provide strict correctness guarantees for the development of both
hardware and software systems. In this work, we examine state-of-the-art formal methods for …
hardware and software systems. In this work, we examine state-of-the-art formal methods for …
Olive disease classification based on vision transformer and CNN models
It has been noted that disease detection approaches based on deep learning are becoming
increasingly important in artificial intelligence‐based research in the field of agriculture …
increasingly important in artificial intelligence‐based research in the field of agriculture …
Security challenges for drone communications: Possible threats, attacks and countermeasures
The current development of drones and the prospects in this field have positive
repercussions, in particular for employment and industrial development, with the key to …
repercussions, in particular for employment and industrial development, with the key to …
An integrated artificial intelligence of things environment for river flood prevention
River floods are listed among the natural disasters that can directly influence different
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …
An efficient hybrid deep learning model for denial of service detection in cyber physical systems
Security is critical in the Cyber-Physical Systems (CPS) model for smart healthcare
networks, and it will likely have a significant impact on the industry, medical and healthcare; …
networks, and it will likely have a significant impact on the industry, medical and healthcare; …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …