Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

Jorrit Kronjee; Arjen Hommersom; Harald Vranken

doi:10.1145/3230833.3230856

Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

Jorrit Kronjee, Arjen Hommersom, Harald Vranken

Research Line Resilience (part of LIRS program)

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

418 Downloads (Pure)

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Availability, Reliability and Security
Place of Publication	New York, NY, USA
Publisher	acm
Number of pages	10
ISBN (Print)	978-1-4503-6448-5
DOIs	https://doi.org/10.1145/3230833.3230856
Publication status	Published - 2018
Event	13th International Conference on Availability, Reliability and Security - Hamburg, Germany Duration: 27 Aug 2018 → 30 Aug 2018 https://dl.acm.org/citation.cfm?doid=3230833.3230856

Conference

Conference	13th International Conference on Availability, Reliability and Security
Abbreviated title	ARES 2018
Country/Territory	Germany
City	Hamburg
Period	27/08/18 → 30/08/18
Internet address	https://dl.acm.org/citation.cfm?doid=3230833.3230856

Keywords

Software security, data-flow analysis, machine learning, static code analysis, vulnerability detection

Access to Document

10.1145/3230833.3230856

Discovering software vulnerabilities using data-flow analysis and machine learningFinal published version, 534 KBLicence: Taverne

Cite this

@inproceedings{87e4ec8a80de4fd286dd65b4a532cfb9,

title = "Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning",

keywords = "Software security, data-flow analysis, machine learning, static code analysis, vulnerability detection",

author = "Jorrit Kronjee and Arjen Hommersom and Harald Vranken",

year = "2018",

doi = "10.1145/3230833.3230856",

language = "English",

isbn = "978-1-4503-6448-5",

booktitle = "Proceedings of the 13th International Conference on Availability, Reliability and Security",

publisher = "acm",

note = "13th International Conference on Availability, Reliability and Security, ARES 2018 ; Conference date: 27-08-2018 Through 30-08-2018",

url = "https://dl.acm.org/citation.cfm?doid=3230833.3230856",

}

Kronjee, J, Hommersom, A & Vranken, H 2018, Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning. in Proceedings of the 13th International Conference on Availability, Reliability and Security., 6, acm, New York, NY, USA, 13th International Conference on Availability, Reliability and Security, Hamburg, Germany, 27/08/18. https://doi.org/10.1145/3230833.3230856

Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning. / Kronjee, Jorrit; Hommersom, Arjen ; Vranken, Harald.
Proceedings of the 13th International Conference on Availability, Reliability and Security. New York, NY, USA: acm, 2018. 6.

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

AU - Kronjee, Jorrit

AU - Hommersom, Arjen

AU - Vranken, Harald

PY - 2018

Y1 - 2018

KW - Software security, data-flow analysis, machine learning, static code analysis, vulnerability detection

U2 - 10.1145/3230833.3230856

DO - 10.1145/3230833.3230856

M3 - Conference Article in proceeding

SN - 978-1-4503-6448-5

BT - Proceedings of the 13th International Conference on Availability, Reliability and Security

PB - acm

CY - New York, NY, USA

T2 - 13th International Conference on Availability, Reliability and Security

Y2 - 27 August 2018 through 30 August 2018

ER -

Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

Conference

Keywords

Access to Document

Fingerprint

Cite this