A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages-Reference-Cited by-同舟云学术

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A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages

Published:2020 Issue: Volume: Page:1019-1034
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2020
language:
Short-container-title:

Author:

Antal Gábor,Mosolygó Balázs,Vándor Norbert,Hegedűs Péter

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58811-3_72

Reference25 articles.

1. Abunadi, I., Alenezi, M.: Towards cross project vulnerability prediction in open source web applications. In: Proceedings of the The International Conference on Engineering MIS 2015, ICEMIS 2015. Association for Computing Machinery, New York (2015). https://doi.org/10.1145/2832987.2833051

2. Lecture Notes in Computer Science;RK Behera,2018

3. Bishop, M.: Introduction to Computer Security, vol. 50. Addison-Wesley, Boston (2005)

4. Camilo, F., Meneely, A., Nagappan, M.: Do bugs foreshadow vulnerabilities? a study of the chromium project. In: 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, pp. 269–279 (2015)

5. Frei, S., May, M., Fiedler, U., Plattner, B.: Large-scale vulnerability analysis. In: Proceedings of the 2006 SIGCOMM Workshop on Large-Scale Attack Defense, pp. 131–138 (2006)

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1. Using the Strings Metadata to Detect the Source Language of the Binary;Advances in Intelligent Systems and Computing;2022

2. On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs;2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR);2021-05

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