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

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Original language	English
Title of host publication	ARES 2018 - 13th International Conference on Availability, Reliability and Security
Place of Publication	New York, NY, USA
Publisher	acm
Number of pages	10
ISBN (Electronic)	9781450364485
ISBN (Print)	978-1-4503-6448-5
DOIs	https://doi.org/10.1145/3230833.3230856
Publication status	Published - 27 Aug 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",

month = aug,

day = "27",

doi = "10.1145/3230833.3230856",

language = "English",

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

booktitle = "ARES 2018 - 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 ARES 2018 - 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.
ARES 2018 - 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 - 2018/8/27

Y1 - 2018/8/27

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 - ARES 2018 - 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

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Cite this