A survey of deep learning methods for cyber security
This survey paper describes a literature review of deep learning (DL) methods for cyber
security applications. A short tutorial-style description of each DL method is provided …
security applications. A short tutorial-style description of each DL method is provided …
A visualized botnet detection system based deep learning for the internet of things networks of smart cities
R Vinayakumar, M Alazab, S Srinivasan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Internet of Things applications for smart cities have currently become a primary target for
advanced persistent threats of botnets. This article proposes a botnet detection system …
advanced persistent threats of botnets. This article proposes a botnet detection system …
Artificial neural network for cybersecurity: A comprehensive review
Cybersecurity is a very emerging field that protects systems, networks, and data from digital
attacks. With the increase in the scale of the Internet and the evolution of cyber attacks …
attacks. With the increase in the scale of the Internet and the evolution of cyber attacks …
Adversarial defense: DGA-based botnets and DNS homographs detection through integrated deep learning
V Ravi, M Alazab, S Srinivasan… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Cybercriminals use domain generation algorithms (DGAs) to prevent their servers from
being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA …
being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA …
Character level based detection of DGA domain names
Recently several different deep learning architectures have been proposed that take a string
of characters as the raw input signal and automatically derive features for text classification …
of characters as the raw input signal and automatically derive features for text classification …
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
Performance analysis of DGA-driven botnets using artificial neural networks
A botnet is a network of devices infected with malware and controlled remotely by a person
with malicious intent. Botnets can launch attacks to steal data, perform phishing, spamming …
with malicious intent. Botnets can launch attacks to steal data, perform phishing, spamming …
Algorithmically generated malicious domain names detection based on n-grams features
Botnets are one of the major cyber infections used in several criminal activities. In most
botnets, a Domain Generation Algorithm (DGA) is used by bots to make DNS queries aimed …
botnets, a Domain Generation Algorithm (DGA) is used by bots to make DNS queries aimed …
Dictionary extraction and detection of algorithmically generated domain names in passive DNS traffic
Automatic detection of algorithmically generated domains (AGDs) is a crucial element for
fighting Botnets. Modern AGD detection systems have benefited from the combination of …
fighting Botnets. Modern AGD detection systems have benefited from the combination of …
Replacedga: Bilstm based adversarial dga with high anti-detection ability
X Hu, H Chen, M Li, G Cheng, R Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Botnets extensively leverage Domain Generation Algorithms (DGAs) to establish reliable
communication channels between bots and Command and Control (C&C) servers …
communication channels between bots and Command and Control (C&C) servers …