[HTML][HTML] Darknet traffic big-data analysis and network management for real-time automating of the malicious intent detection process by a weight agnostic neural …
Attackers are perpetually modifying their tactics to avoid detection and frequently leverage
legitimate credentials with trusted tools already deployed in a network environment, making …
legitimate credentials with trusted tools already deployed in a network environment, making …
Darknet traffic analysis and network management for malicious intent detection by neural network frameworks
Security breaches may be difficult to detect because attackers are continually tweaking
methods to evade detection and utilize legitimate credentials that have already been …
methods to evade detection and utilize legitimate credentials that have already been …
Darkdetect: Darknet traffic detection and categorization using modified convolution-long short-term memory
Darknet is commonly known as the epicenter of illegal online activities. An analysis of
darknet traffic is essential to monitor real-time applications and activities running over the …
darknet traffic is essential to monitor real-time applications and activities running over the …
Intrusion traffic detection and characterization using deep image learning
The security community has witnessed an unprecedented upsurge in cyber attacks in recent
years. These attacks have proved to be successful in achieving their catastrophic objectives …
years. These attacks have proved to be successful in achieving their catastrophic objectives …
Deep in the dark-deep learning-based malware traffic detection without expert knowledge
G Marín, P Casas… - 2019 IEEE Security and …, 2019 - ieeexplore.ieee.org
With the ever-growing occurrence of networking attacks, robust network security systems are
essential to prevent and mitigate their harming effects. In recent years, machine learning …
essential to prevent and mitigate their harming effects. In recent years, machine learning …
[HTML][HTML] Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology
T Anitha, S Aanjankumar, S Poonkuntran… - Neural Computing and …, 2023 - Springer
This paper aims to propose a new technique for identifying and categorizing malevolent
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
J Lan, X Liu, B Li, Y Li, T Geng - Computers & Security, 2022 - Elsevier
Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …
defensing cyber crimes. Although notable research efforts have been dedicated to …
An ensemble of deep recurrent neural networks for detecting IoT cyber attacks using network traffic
M Saharkhizan, A Azmoodeh… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) devices and systems will be increasingly targeted by cybercriminals
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
Deep transfer learning framework for the identification of malicious activities to combat cyberattack
The people having a perpetrating mind and the facilitation in advanced technologies cause
the criminogenic activities in cyberspace, thereby creating societal problems. Darknet is an …
the criminogenic activities in cyberspace, thereby creating societal problems. Darknet is an …