DeepMAL -- Deep Learning Models for Malware Traffic Detection and
Classification

DeepMAL -- Deep Learning Models for Malware Traffic Detection and Classification

3 March 2020

Papers citing "DeepMAL -- Deep Learning Models for Malware Traffic Detection and Classification"

10 / 10 papers shown

Title
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques Yehonatan Zion Porat Aharon Ran Dubin A. Dvir Chen Hajaj 33 2 0 23 Jul 2024
CBR -- Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution Amir Lukach Ran Dubin A. Dvir Chen Hajaj 30 0 0 17 Mar 2024
Efficient Attack Detection in IoT Devices using Feature Engineering-Less Machine Learning Arshiya Khan Chase Cotton 11 3 0 09 Jan 2023
DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks Ivan Letteri G. D. Penna Giovanni De Gasperis Abeer Dyoub AIFin 11 5 0 20 Oct 2022
Open-Source Framework for Encrypted Internet and Malicious Traffic Classification Ofek Bader Adi Lichy A. Dvir Ran Dubin Chen Hajaj 17 0 0 21 Jun 2022
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification Adi Lichy Ofek Bader Ran Dubin A. Dvir Chen Hajaj 24 29 0 16 Jun 2022
SeqNet: An Efficient Neural Network for Automatic Malware Detection Jiawei Xu Wenxuan Fu Haoyu Bu Zhi Wang Lingyun Ying AAML 8 3 0 08 May 2022
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code Peng Xu Claudia Eckert Apostolis Zarras 28 4 0 19 Dec 2021
Detecting Attacks on IoT Devices using Featureless 1D-CNN Arshiya Khan Chase Cotton 19 9 0 09 Sep 2021
Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic F. Bronzino Paul Schmitt Sara Ayoubi Hyojoon Kim R. Teixeira Nick Feamster 17 6 0 27 Oct 2020