Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences

Touraj Khodadadi; Mazdak Zamani; Saman Shojae Chaeikar; Yashar Javadianasl; Marieh Talebkhah; Mojtaba Alizadeh

doi:10.1109/STC58598.2023.00005

Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences

Touraj Khodadadi, Mazdak Zamani, Saman Shojae Chaeikar, Yashar Javadianasl, Marieh Talebkhah, Mojtaba Alizadeh

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

Original language	English
Title of host publication	2023 IEEE 30th Annual Software Technology Conference STC 2023
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1
Number of pages	1
ISBN (Electronic)	9798350319415
ISBN (Print)	9798350319422
DOIs	https://doi.org/10.1109/STC58598.2023.00005
Publication status	Published - 2023
Event	IEEE Annual Software Technology Conference (30th : 2023) - Virtual Duration: 27 Sept 2023 → 27 Sept 2023 Conference number: 30th

Conference

Conference	IEEE Annual Software Technology Conference (30th : 2023)
Abbreviated title	STC 2023
City	Virtual
Period	27/09/23 → 27/09/23

Keywords

Artificial Intelligence
Machine Learning
Cybersecurity
Cyber Threats

Access to Document

10.1109/STC58598.2023.00005

Cite this

Khodadadi, T., Zamani, M., Chaeikar, S. S., Javadianasl, Y., Talebkhah, M., & Alizadeh, M. (2023). Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences. In 2023 IEEE 30th Annual Software Technology Conference STC 2023: proceedings (pp. 1). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/STC58598.2023.00005

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Khodadadi, T, Zamani, M, Chaeikar, SS, Javadianasl, Y, Talebkhah, M & Alizadeh, M 2023, Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences. in 2023 IEEE 30th Annual Software Technology Conference STC 2023: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1, IEEE Annual Software Technology Conference (30th : 2023), Virtual, 27/09/23. https://doi.org/10.1109/STC58598.2023.00005

Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences. / Khodadadi, Touraj; Zamani, Mazdak; Chaeikar, Saman Shojae et al.
2023 IEEE 30th Annual Software Technology Conference STC 2023: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1.

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

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T1 - Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences

AU - Khodadadi, Touraj

AU - Zamani, Mazdak

AU - Chaeikar, Saman Shojae

AU - Javadianasl, Yashar

AU - Talebkhah, Marieh

AU - Alizadeh, Mojtaba

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KW - Artificial Intelligence

KW - Machine Learning

KW - Cybersecurity

KW - Cyber Threats

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DO - 10.1109/STC58598.2023.00005

M3 - Conference abstract

SN - 9798350319422

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BT - 2023 IEEE 30th Annual Software Technology Conference STC 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - IEEE Annual Software Technology Conference (30th : 2023)

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Khodadadi T, Zamani M, Chaeikar SS, Javadianasl Y, Talebkhah M, Alizadeh M. Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences. In 2023 IEEE 30th Annual Software Technology Conference STC 2023: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 1 doi: 10.1109/STC58598.2023.00005

Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences

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Keywords

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