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Human Analysts’ Perceptions towards AI-based Solutions in Cyber Security: A Qualitative Study

Dam, Jenny and Luong, Jackie-Sally LU (2023) SYSK16 20231
Department of Informatics
Abstract
Artificial intelligence is transforming the technology landscape. As the complexity of cyber threats continues to increase, organisations are increasingly turning to AI-based cybersecurity solutions to enhance their threat detection and response capabilities. This paper aims to answer two research questions. First, what are human analysts' perceptions on the potential benefits and limitations of AI-based cyber security solutions? Second, what are the human analysts' perception on the collaboration with AI-based cyber security solutions, and the potential impact on their responsibilities? To answer these questions, a qualitative approach was conducted. This paper reports results of semi-structured interviews of six human analysts working... (More)
Artificial intelligence is transforming the technology landscape. As the complexity of cyber threats continues to increase, organisations are increasingly turning to AI-based cybersecurity solutions to enhance their threat detection and response capabilities. This paper aims to answer two research questions. First, what are human analysts' perceptions on the potential benefits and limitations of AI-based cyber security solutions? Second, what are the human analysts' perception on the collaboration with AI-based cyber security solutions, and the potential impact on their responsibilities? To answer these questions, a qualitative approach was conducted. This paper reports results of semi-structured interviews of six human analysts working with cyber security, from various organisations. A thematic analysis was conducted on the collected data to identify common themes and patterns in the participants' responses. The results were presented and discussed with theoretical findings. The study concludes in answering the research questions of human analysts' perceptions towards AI-based cyber security solutions which are stated above. In conclusion, there was a consensus about potential benefits, risk and limitations, likewise for the collaboration and impact on responsibilities. However, further studies need to be conducted to be able to generalise this study. (Less)
Please use this url to cite or link to this publication:
author
Dam, Jenny and Luong, Jackie-Sally LU
supervisor
organization
course
SYSK16 20231
year
type
M2 - Bachelor Degree
subject
keywords
Cyber Security, Human Analyst, Artificial Intelligence, Machine Learning
language
English
id
9121439
date added to LUP
2023-06-12 13:26:52
date last changed
2023-06-12 13:26:52
@misc{9121439,
  abstract     = {{Artificial intelligence is transforming the technology landscape. As the complexity of cyber threats continues to increase, organisations are increasingly turning to AI-based cybersecurity solutions to enhance their threat detection and response capabilities. This paper aims to answer two research questions. First, what are human analysts' perceptions on the potential benefits and limitations of AI-based cyber security solutions? Second, what are the human analysts' perception on the collaboration with AI-based cyber security solutions, and the potential impact on their responsibilities? To answer these questions, a qualitative approach was conducted. This paper reports results of semi-structured interviews of six human analysts working with cyber security, from various organisations. A thematic analysis was conducted on the collected data to identify common themes and patterns in the participants' responses. The results were presented and discussed with theoretical findings. The study concludes in answering the research questions of human analysts' perceptions towards AI-based cyber security solutions which are stated above. In conclusion, there was a consensus about potential benefits, risk and limitations, likewise for the collaboration and impact on responsibilities. However, further studies need to be conducted to be able to generalise this study.}},
  author       = {{Dam, Jenny and Luong, Jackie-Sally}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Human Analysts’ Perceptions towards AI-based Solutions in Cyber Security: A Qualitative Study}},
  year         = {{2023}},
}