Utilizing cyber threat hunting techniques to find ransomware attacks: A survey of the state of the art

F Aldauiji, O Batarfi, M Bayousef - IEEE Access, 2022 - ieeexplore.ieee.org
Ransomware is one of the most harmful types of cyber attacks that cause major concerns on
a global scale. It makes the victims' resources unusable by encrypting data or locking …

Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models

U Islam, A Muhammad, R Mansoor, MS Hossain… - Sustainability, 2022 - mdpi.com
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …

Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review

P Shukla, CR Krishna, NV Patil - The Journal of Supercomputing, 2024 - Springer
Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …

An intelligent intrusion detection system for smart consumer electronics network

D Javeed, MS Saeed, I Ahmad, P Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …

A novel decentralized blockchain architecture for the preservation of privacy and data security against cyberattacks in healthcare

A Kumar, AK Singh, I Ahmad, P Kumar Singh… - Sensors, 2022 - mdpi.com
Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks,
blockchain technology is one of the major critical developments playing a vital role in the …

FMDADM: A multi-layer DDoS attack detection and mitigation framework using machine learning for stateful SDN-based IoT networks

WI Khedr, AE Gouda, ER Mohamed - IEEE Access, 2023 - ieeexplore.ieee.org
The absence of standards and the diverse nature of the Internet of Things (IoT) have made
security and privacy concerns more acute. Attacks such as distributed denial of service …

A deep-ensemble-learning-based approach for skin cancer diagnosis

K Shehzad, T Zhenhua, S Shoukat, A Saeed, I Ahmad… - Electronics, 2023 - mdpi.com
Skin cancer is one of the widespread diseases among existing cancer types. More
importantly, the detection of lesions in early diagnosis has tremendously attracted …

Smart android based home automation system using internet of things (IoT)

MA Khan, I Ahmad, AN Nordin, AES Ahmed… - Sustainability, 2022 - mdpi.com
Recently, home automation system has getting significant attention because of the fast and
advanced technology, making daily living more convenient. Almost everything has been …

[Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health

F Wahab, Y Zhao, D Javeed… - Computational …, 2022 - Wiley Online Library
E‐health has grown into a billion‐dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …

Deep learning for the security of software-defined networks: a review

R Taheri, H Ahmed, E Arslan - Cluster Computing, 2023 - Springer
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …