FindMal: A file-to-file social network based malware detection framework-Reference-Cited by-同舟云学术

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FindMal: A file-to-file social network based malware detection framework

Published:2016-11 Issue: Volume:112 Page:142-151
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ni Ming,Li Tao,Li Qianmu,Zhang Hong,Ye Yanfang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference38 articles.

1. N-gram-based detection of new malicious code;Abou-Assaleh,2004

2. Automated classification and analysis of internet malware;Bailey,2007

3. Active learning on graphs via spanning trees;Cesa-bianchi,2010

4. Active learning on trees and graphs;Cesa-Bianchi,2010

5. Polonium: Tera-scale graph mining and inference for malware detection;Chau,2011

Cited by 14 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. Indexing complex networks for fast attributed kNN queries;Social Network Analysis and Mining;2022-07-16

2. SoK: The Impact of Unlabelled Data in Cyberthreat Detection;2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P);2022-06

3. Tree-Based Graph Indexing for Fast kNN Queries;Information Integration and Web Intelligence;2022

4. A novel framework for image-based malware detection with a deep neural network;Computers & Security;2021-10

5. Data mining and social networks processing method based on support vector machine and k-nearest neighbor;Journal of Computational Methods in Sciences and Engineering;2021-05-06

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