Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector

Nisha Rawindaran; Ambikesh Jayal; Edmond Prakash

Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector

Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

Faculty of Computing, Engineering and Science

Research output: Contribution to conference › Paper › peer-review

Abstract

This extended abstract contains the nding of two broad studies. Each study examines ideas of the challenges arising from aspects of cyber security in using Intrusion Detection mechanisms together with Arti cial Intelligence (AI) and Machine Learning techniques in the protection of small and medium enterprises (SMEs) in the UK, for its operations and commercial environment.
Both papers explored intrusion, detection, and prevention methods as a priority in the realisation of keeping their data secure and safe with the integration of real-world objects within the internet such as Machine Learning techniques and AI. Both papers go on to then establish the various methods of improving its cyber security.

Original language	English
Publication status	Published - 2021
Event	Advances in Management and Innovation - Cardiff Metropolitan University, Cardiff, United Kingdom Duration: 20 May 2021 → 21 May 2021

Conference

Conference	Advances in Management and Innovation
Country/Territory	United Kingdom
City	Cardiff
Period	20/05/21 → 21/05/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=P03ysyoAAAAJ&sortby=pubdate&citation_for_view=P03ysyoAAAAJ:Y0pCki6q_DkC

Cite this

Rawindaran, N., Jayal, A., & Prakash, E. (2021). Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector. Paper presented at Advances in Management and Innovation, Cardiff, United Kingdom. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=P03ysyoAAAAJ&sortby=pubdate&citation_for_view=P03ysyoAAAAJ:Y0pCki6q_DkC

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title = "Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector",

abstract = "This extended abstract contains the nding of two broad studies. Each study examines ideas of the challenges arising from aspects of cyber security in using Intrusion Detection mechanisms together with Arti cial Intelligence (AI) and Machine Learning techniques in the protection of small and medium enterprises (SMEs) in the UK, for its operations and commercial environment.Both papers explored intrusion, detection, and prevention methods as a priority in the realisation of keeping their data secure and safe with the integration of real-world objects within the internet such as Machine Learning techniques and AI. Both papers go on to then establish the various methods of improving its cyber security.",

author = "Nisha Rawindaran and Ambikesh Jayal and Edmond Prakash",

year = "2021",

language = "English",

note = "Advances in Management and Innovation ; Conference date: 20-05-2021 Through 21-05-2021",

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Rawindaran, N, Jayal, A & Prakash, E 2021, 'Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector', Paper presented at Advances in Management and Innovation, Cardiff, United Kingdom, 20/05/21 - 21/05/21. <https://scholar.google.com/citations?view_op=view_citation&hl=en&user=P03ysyoAAAAJ&sortby=pubdate&citation_for_view=P03ysyoAAAAJ:Y0pCki6q_DkC>

TY - CONF

T1 - Artificial intelligence and machine learning within the context of cyber security used in the UK SME Sector

AU - Rawindaran, Nisha

AU - Jayal, Ambikesh

AU - Prakash, Edmond

PY - 2021

Y1 - 2021

N2 - This extended abstract contains the nding of two broad studies. Each study examines ideas of the challenges arising from aspects of cyber security in using Intrusion Detection mechanisms together with Arti cial Intelligence (AI) and Machine Learning techniques in the protection of small and medium enterprises (SMEs) in the UK, for its operations and commercial environment.Both papers explored intrusion, detection, and prevention methods as a priority in the realisation of keeping their data secure and safe with the integration of real-world objects within the internet such as Machine Learning techniques and AI. Both papers go on to then establish the various methods of improving its cyber security.

AB - This extended abstract contains the nding of two broad studies. Each study examines ideas of the challenges arising from aspects of cyber security in using Intrusion Detection mechanisms together with Arti cial Intelligence (AI) and Machine Learning techniques in the protection of small and medium enterprises (SMEs) in the UK, for its operations and commercial environment.Both papers explored intrusion, detection, and prevention methods as a priority in the realisation of keeping their data secure and safe with the integration of real-world objects within the internet such as Machine Learning techniques and AI. Both papers go on to then establish the various methods of improving its cyber security.

M3 - Paper

T2 - Advances in Management and Innovation

Y2 - 20 May 2021 through 21 May 2021

ER -