POSTER-Reference-Cited by-同舟云学术

POSTER

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Sun Bo¹,Fujino Akinori¹,Mori Tatsuya¹

Affiliation:

1. Waseda University, Tokyo, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2976749.2989064

Reference17 articles.

1. Av-test. malware. http://www.av-test.org/en/statistics/malware. Av-test. malware. http://www.av-test.org/en/statistics/malware.

2. Cuckoo sandbox. https://www.cuckoosandbox.org. Cuckoo sandbox. https://www.cuckoosandbox.org.

3. Natural language toolkit. http://www.nltk.org. Natural language toolkit. http://www.nltk.org.

4. simplenlg: Java api for natural language generation. https://code.google.com/p/simplenlg/. simplenlg: Java api for natural language generation. https://code.google.com/p/simplenlg/.

5. Textblob: Simplified text processing. http://textblob.readthedocs.io/en/dev/. Textblob: Simplified text processing. http://textblob.readthedocs.io/en/dev/.

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1. Re-measuring the Label Dynamics of Online Anti-Malware Engines from Millions of Samples;Proceedings of the 2023 ACM on Internet Measurement Conference;2023-10-24

2. Understanding and Mitigating Label Bias in Malware Classification: An Empirical Study;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12

3. Read Between the Lines: An Empirical Measurement of Sensitive Applications of Voice Personal Assistant Systems;Proceedings of The Web Conference 2020;2020-04-19

4. Getting to the root of the problem: A detailed comparison of kernel and user level data for dynamic malware analysis;Journal of Information Security and Applications;2019-10

5. ChainSmith: Automatically Learning the Semantics of Malicious Campaigns by Mining Threat Intelligence Reports;2018 IEEE European Symposium on Security and Privacy (EuroS&P);2018-04