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A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence

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The Effect of Information Technology on Business and Marketing Intelligence Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1056))

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Abstract

Cybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past decade has increased exponentially. Cybercriminals and their attacking techniques have become increasingly sophisticated over the past couple of years. Conventional security measures will no longer be able to detect and mitigate the propagation of such advanced attacking trends. More and more hackers have started focusing on Small and medium-sized enterprises (SMEs) taking advantage of their limited resources. Therefore, SMEs will have to quickly adopt Artificial Intelligence (AI) based cybersecurity system in their infrastructure to defend themselves effectively and efficiently. It is currently forecasted that by 2021, 75% of all organizations will use AI and Machine learning (ML) applications in their security architecture to protect against all cyber threats. In this paper, the researchers identify the various challenges faced by SMEs in adopting an AI based cybersecurity due to their knowledge gap and lack of expertise. The researcher intends to provide a good background on AI, Cyber Threat Intelligence (CTI) and highlight some of the significant benefits provided by an AI based CTI system. A simple roadmap is developed using a qualitative research methodology to help SMEs effectively implement an AI based Cyber Threat Intelligent system in their infrastructure.

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Authors and Affiliations

  1. Canadian University Dubai, Dubai, UAE

    Abhilash J. Varma, Nasser Taleb & Raed A. Said

  2. Faculty of Information Science and Technology, Center for Cyber Security, Universiti Kebansaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia

    Taher M. Ghazal

  3. School of Information Technology, Skyline University College, Sharjah, UAE

    Taher M. Ghazal

  4. School of Computer Science, National College of Business Administration and Economics, Lahore, 54000, Pakistan

    Munir Ahmad

  5. School of Business, Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  6. Department of Marketing, School of Business, University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  7. Department of Management, College of Business Administration, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh

Authors
  1. Abhilash J. Varma
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  2. Nasser Taleb
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  3. Raed A. Said
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  4. Taher M. Ghazal
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  5. Munir Ahmad
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  6. Haitham M. Alzoubi
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  7. Muhammad Alshurideh
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Correspondence to Haitham M. Alzoubi .

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Editors and Affiliations

  1. Dept of Mngmnt, Cllg of Busness Admin, University of Sharjah, Sharjah, United Arab Emirates

    Muhammad Alshurideh

  2. Department of Business Administration, Faculty of Economics and Administrative Sciences, Hashemite University, Zarqa, Jordan

    Barween Hikmat Al Kurdi

  3. Management Information Systems Department, School of Business, University of Jordan, Aqaba, Jordan

    Ra’ed Masa’deh

  4. Skyline University College, Sharjah, United Arab Emirates

    Haitham M. Alzoubi

  5. Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Said Salloum

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Varma, A.J. et al. (2023). A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence. In: Alshurideh, M., Al Kurdi , B.H., Masa’deh, R., Alzoubi , H.M., Salloum, S. (eds) The Effect of Information Technology on Business and Marketing Intelligence Systems. Studies in Computational Intelligence, vol 1056. Springer, Cham. https://doi.org/10.1007/978-3-031-12382-5_105

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