Binary code traceability of multigranularity information fusion from the perspective of software genes-Reference-Cited by-同舟云学术

Binary code traceability of multigranularity information fusion from the perspective of software genes

Published:2022-03 Issue: Volume:114 Page:102607
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Huang Yizhao,Qiao Meng,Liu Fudong,Li Xingwei,Gui Hairen,Zhang Chunyan

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference45 articles.

1. A neural network architecture combining gated recurrent unit (gru) and support vector machine (svm) for intrusion detection in network traffic data;Agarap,2018

2. A multilabel fuzzy relevance clustering system for malware attack attribution in the edge layer of cyber-physical networks;Alaeiyan;ACM Trans. Cyber Phys. Syst.,2020

3. On the feasibility of binary authorship characterization;Alrabaee;Digit. Investig.,2019

4. Oba2: an onion approach to binary code authorship attribution;Alrabaee;Digital Invest.,2014

5. Bingold: towards robust binary analysis by extracting the semantics of binary code as semantic flow graphs (sfgs);Alrabaee;Digital Invest.,2016

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PDG2Vec: Identify the Binary Function Similarity with Program Dependence Graph;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12

2. An Approach of Malware Detection in Power System;Journal of Physics: Conference Series;2022-12-01

3. HeuCrip: a malware detection approach for internet of battlefield things;Cluster Computing;2022-08-03

4. SROBR: Semantic Representation of Obfuscation-Resilient Binary Code;Wireless Communications and Mobile Computing;2022-06-24

5. AAPFE: Aligned Assembly Pre-Training Function Embedding for Malware Analysis;Electronics;2022-03-17