Android Malware Detection using Deep Learning on API Method Sequences

Android Malware Detection using Deep Learning on API Method Sequences

25 December 2017

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Papers citing "Android Malware Detection using Deep Learning on API Method Sequences"

10 / 10 papers shown

Title
SeqNet: An Efficient Neural Network for Automatic Malware Detection Jiawei Xu Wenxuan Fu Haoyu Bu Zhi Wang Lingyun Ying AAML 44 3 0 08 May 2022
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware Kaleem Nawaz Khan Najeeb Ullah Sikandar Ali Muhammad Salman Khan M. Nauman Muhammad Yaseen Khan 20 6 0 10 Apr 2021
Android Malware Clustering using Community Detection on Android Packages Similarity Network E. Karbab M. Debbabi A. Derhab D. Mouheb 13 3 0 12 May 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 117 27 0 06 Mar 2020
DL-Droid: Deep learning based android malware detection using real devices Mohammed K. Alzaylaee S. Yerima S. Sezer AAML 44 330 0 22 Nov 2019
SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning Ji Wang Qi Jing Jianbo Gao AAML 70 19 0 06 Sep 2019
RNNSecureNet: Recurrent neural networks for Cyber security use-cases R. MohammedHarunBabu R. Vinayakumar K. Soman 13 9 0 05 Jan 2019
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports E. Karbab M. Debbabi 44 65 0 26 Dec 2018
Deep-Net: Deep Neural Network for Cyber Security Use Cases R. Vinayakumar HB BarathiGanesh P. Poornachandran M. Anandkumar K. Soman AAML 37 15 0 09 Dec 2018
Automatic Investigation Framework for Android Malware Cyber-Infrastructures E. Karbab M. Debbabi 45 6 0 23 Jun 2018

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