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Survey of Machine Learning Techniques for Malware Analysis

Survey of Machine Learning Techniques for Malware Analysis

23 October 2017
Daniele Ucci
Leonardo Aniello
R. Baldoni
ArXivPDFHTML

Papers citing "Survey of Machine Learning Techniques for Malware Analysis"

19 / 19 papers shown
Title
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Armando Bellante
Tommaso Fioravanti
Michele Carminati
S. Zanero
Alessandro Luongo
54
0
0
16 Feb 2025
Software Security Analysis in 2030 and Beyond: A Research Roadmap
Software Security Analysis in 2030 and Beyond: A Research Roadmap
Marcel Böhme
Eric Bodden
Tevfik Bultan
Cristian Cadar
Yang Liu
Giuseppe Scanniello
34
1
0
26 Sep 2024
KiNETGAN: Enabling Distributed Network Intrusion Detection through
  Knowledge-Infused Synthetic Data Generation
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation
Anantaa Kotal
Brandon Luton
Anupam Joshi
48
1
0
26 May 2024
Layered Uploading for Quantum Convolutional Neural Networks
Layered Uploading for Quantum Convolutional Neural Networks
Grégoire Barrué
Tony Quertier
Orlane Zang
99
0
0
15 Apr 2024
A Survey on Cross-Architectural IoT Malware Threat Hunting
A Survey on Cross-Architectural IoT Malware Threat Hunting
Anandharaju Durai Raju
I. Abualhaol
Ronnie Salvador Giagone
Yang Zhou
Shengqiang Huang
26
34
0
09 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion
  Detection
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese
Pavel Laskov
J. Schneider
53
25
0
30 Apr 2023
Classification of Web Phishing Kits for early detection by platform
  providers
Classification of Web Phishing Kits for early detection by platform providers
A. Venturi
M. Colajanni
M. Ramilli
Giorgio Valenziano Santangelo
20
2
0
15 Oct 2022
Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
37
148
0
31 Aug 2022
Malware Analysis with Symbolic Execution and Graph Kernel
Malware Analysis with Symbolic Execution and Graph Kernel
Charles-Henry Bertrand Van Ouytsel
Axel Legay
20
3
0
12 Apr 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening
  Against Realistic Adversarial Attacks
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks
Salijona Dyrmishi
Salah Ghamizi
Thibault Simonetto
Yves Le Traon
Maxime Cordy
AAML
37
16
0
07 Feb 2022
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass
  Malware Classification
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification
Ferhat Demirkiran
Aykut Çayır
U. Ünal
Hasan Dag
38
42
0
25 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
47
74
0
23 Dec 2021
Using Static and Dynamic Malware features to perform Malware Ascription
Using Static and Dynamic Malware features to perform Malware Ascription
Jashanpreet Singh Sraw
Keshav Kumar
17
6
0
05 Dec 2021
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
25
61
0
18 Oct 2021
The Threat of Offensive AI to Organizations
The Threat of Offensive AI to Organizations
Yisroel Mirsky
Ambra Demontis
J. Kotak
Ram Shankar
Deng Gelei
Liu Yang
Xinming Zhang
Wenke Lee
Yuval Elovici
Battista Biggio
38
81
0
30 Jun 2021
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
35
77
0
09 Mar 2021
A survey on practical adversarial examples for malware classifiers
A survey on practical adversarial examples for malware classifiers
Daniel Park
B. Yener
AAML
44
14
0
06 Nov 2020
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Chani Jindal
Christopher Salls
H. Aghakhani
Keith Long
Christopher Kruegel
Giovanni Vigna
24
62
0
24 Oct 2019
Deep learning at the shallow end: Malware classification for non-domain
  experts
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
78
173
0
22 Jul 2018
1