Human Analysts’ Perceptions towards AI-based Solutions in Cyber Security: A Qualitative Study
(2023) SYSK16 20231Department 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:
http://lup.lub.lu.se/student-papers/record/9121439
- author
- Dam, Jenny and Luong, Jackie-Sally LU
- supervisor
- organization
- course
- SYSK16 20231
- year
- 2023
- 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}}, }