Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph-Reference-Cited by-同舟云学术

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Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
language:
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Author:

Alabdulmohsin Ibrahim¹,Han YuFei²,Shen Yun³,Zhang XiangLiang¹

Affiliation:

1. King Abdullah University of Science & Technology, Thuwal, Saudi Arabia

2. Symantec Research Labs, Sophia Antipolis, France

3. Symantec Research Labs, Dublin, Ireland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2983323.2983700

Reference19 articles.

1. A survey on automated dynamic malware-analysis techniques and tools

2. EvilSeed: A Guided Approach to Finding Malicious Web Pages

3. Nazca: Detecting Malware Distribution in Large-Scale Networks

Cited by 11 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. A Survey on the Applications of Semi-supervised Learning to Cyber-security;ACM Computing Surveys;2024-06-22

2. Graph Mining for Cybersecurity: A Survey;ACM Transactions on Knowledge Discovery from Data;2023-07-19

3. Analyzing temporal graphs of malware distribution networks;Array;2022-07

4. Identifying the Author Group of Malwares through Graph Embedding and Human-in-the-Loop Classification;Applied Sciences;2021-07-20

5. Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection;2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2021-05-05

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