A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions

M Ozkan-Okay, E Akin, Ö Aslan, S Kosunalp… - IEEe …, 2024 - ieeexplore.ieee.org
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …

Blockchain for modern applications: A survey

M Krichen, M Ammi, A Mihoub, M Almutiq - Sensors, 2022 - mdpi.com
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 …

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 …

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

AH Salem, SM Azzam, OE Emam, AA Abohany - Journal of Big Data, 2024 - Springer
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 …

Are formal methods applicable to machine learning and artificial intelligence?

M Krichen, A Mihoub, MY Alzahrani… - … Conference of Smart …, 2022 - ieeexplore.ieee.org
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 …

Olive disease classification based on vision transformer and CNN models

H Alshammari, K Gasmi, I Ben Ltaifa… - Computational …, 2022 - Wiley Online Library
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 …

Security challenges for drone communications: Possible threats, attacks and countermeasures

M Krichen, WYH Adoni, A Mihoub… - … Conference of Smart …, 2022 - ieeexplore.ieee.org
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 …

An integrated artificial intelligence of things environment for river flood prevention

Z Boulouard, M Ouaissa, M Ouaissa, F Siddiqui… - Sensors, 2022 - mdpi.com
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 …

An efficient hybrid deep learning model for denial of service detection in cyber physical systems

A Sharma, S Rani, SH Shah, R Sharma… - … on Network Science …, 2023 - ieeexplore.ieee.org
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; …

DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
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 …