Utilizing cyber threat hunting techniques to find ransomware attacks: A survey of the state of the art
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 …
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
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 …
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
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 …
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …
An intelligent intrusion detection system for smart consumer electronics network
The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …
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
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 …
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 …
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 …
importantly, the detection of lesions in early diagnosis has tremendously attracted …
Smart android based home automation system using internet of things (IoT)
Recently, home automation system has getting significant attention because of the fast and
advanced technology, making daily living more convenient. Almost everything has been …
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 …
throughput makes it an obvious target for cyberattacks, and these environments desperately …
Deep learning for the security of software-defined networks: a review
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …
optimization of them are becoming increasingly challenging tasks for network administrators …