A Survey on Cross-Architectural IoT Malware Threat Hunting

9 June 2023

Papers citing "A Survey on Cross-Architectural IoT Malware Threat Hunting"

9 / 9 papers shown

Title
Virus-MNIST: A Benchmark Malware Dataset David Noever S. M. Noever 394 15 0 28 Feb 2021
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms Anandharaju Durai Raju Ke Wang 15 1 0 04 Jan 2021
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection Richard E. Harang Ethan M. Rudd 59 103 0 14 Dec 2020
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection Adarsh Kyadige Ethan M. Rudd Konstantin Berlin 17 7 0 16 May 2019
AST-Based Deep Learning for Detecting Malicious PowerShell Gili Rusak Abdullah Al-Dujaili Una-May O’Reilly 33 41 0 03 Oct 2018
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models Hyrum S. Anderson P. Roth 44 478 0 12 Apr 2018
Lightweight Classification of IoT Malware based on Image Recognition Jiawei Su Danilo Vasconcellos Vargas Sanjiva Prasad D. Sgandurra Yaokai Feng Kouichi Sakurai 41 259 0 11 Feb 2018
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 65 545 0 25 Oct 2017
Survey of Machine Learning Techniques for Malware Analysis Daniele Ucci Leonardo Aniello R. Baldoni 127 298 0 23 Oct 2017