[HTML][HTML] Detection of unknown ddos attacks with deep learning and gaussian mixture model
DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security
and integrity of computer networks and information systems, which are indispensable …
and integrity of computer networks and information systems, which are indispensable …
Fog-based attack detection framework for internet of things using deep learning
A Samy, H Yu, H Zhang - Ieee Access, 2020 - ieeexplore.ieee.org
The number of cyber-attacks and data breaches has immensely increased across different
enterprises, companies, and industries as a result of the exploitation of the weaknesses in …
enterprises, companies, and industries as a result of the exploitation of the weaknesses in …
A lightweight deep learning framework for botnet detecting at the IoT edge
Nowadays, a large number of Internet-of-Things (IoT) devices are exposed on the Internet.
Due to the serious security flaws and users' misuse, they are vulnerable to various attacks …
Due to the serious security flaws and users' misuse, they are vulnerable to various attacks …
Rooted learning model at fog computing analysis for crime incident surveillance
Cyber Loopholes in smart devices' applications invited intruders to conduct malicious
activities. The growing quantity and diversity of smart devices has posed significant cyber …
activities. The growing quantity and diversity of smart devices has posed significant cyber …
[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.
H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …
that constantly share data, analyze, and make decisions while connected to the internet …
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
An anomaly exposure system's foremost objective is to categorize the behavior of the system
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
Network flow based IoT botnet attack detection using deep learning
S Sriram, R Vinayakumar, M Alazab… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Governments around the globe are promoting smart city applications to enhance the quality
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
Fog-assisted SDN controlled framework for enduring anomaly detection in an IoT network
Extensive adoption of intelligent devices with ubiquitous connectivity has increased Internet
of Things (IoT) traffic tremendously. The smart devices promise to improve human life …
of Things (IoT) traffic tremendously. The smart devices promise to improve human life …
Deep-IFS: Intrusion detection approach for industrial internet of things traffic in fog environment
The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …
[HTML][HTML] Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks
Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …