Malware categorization using dynamic mnemonic frequency analysis with redundancy filtering-Reference-Cited by-同舟云学术

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Malware categorization using dynamic mnemonic frequency analysis with redundancy filtering

Published:2014-12 Issue:4 Volume:11 Page:323-335
ISSN:1742-2876
Container-title:Digital Investigation
language:en
Short-container-title:Digital Investigation

Author:

Kang BooJoong,Han Kyoung Soo,Kang Byeongho,Im Eul Gyu

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference21 articles.

1. Instance-based learning algorithms;Aha;Mach Learn,1991

2. Modern information retrieval;Baeza-Yates,1999

3. Opcodes as predictor for malware;Bilar;Int J Electron Secur Digit Forensics,2007

4. Random forests;Breiman;Mach Learn,2001

5. Comparing Bayesian network classifiers;Cheng,1999

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1. A stratified approach to function fingerprinting in program binaries using diverse features;Expert Systems with Applications;2022-05

2. A cost analysis of machine learning using dynamic runtime opcodes for malware detection;Computers & Security;2019-08

3. API Call Based Malware Detection Approach Using Recurrent Neural Network—LSTM;Advances in Intelligent Systems and Computing;2019-04-12

4. HM3alD: Polymorphic Malware Detection Using Program Behavior-Aware Hidden Markov Model;Applied Sciences;2018-06-26

5. Cloud-Based Malware Detection Game for Mobile Devices with Offloading;IEEE Transactions on Mobile Computing;2017-10-01

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