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Mapping Tools for Open Source Intelligence with Cyber Kill Chain for Adversarial Aware Security

Author

Listed:
  • Muhammad Mudassar Yamin

    (Faculty of Information Technology and Electrical Engineering, Norwegian Univeristy of Science and Technology, 2815 Gjøvik, Norway)

  • Mohib Ullah

    (Faculty of Information Technology and Electrical Engineering, Norwegian Univeristy of Science and Technology, 2815 Gjøvik, Norway)

  • Habib Ullah

    (Faculty of Science and Technology, Norwegian University of Life Sciences, 1430 Ås, Norway)

  • Basel Katt

    (Faculty of Information Technology and Electrical Engineering, Norwegian Univeristy of Science and Technology, 2815 Gjøvik, Norway)

  • Mohammad Hijji

    (Industrial Innovation and Robotic Center (IIRC), University of Tabuk, Tabuk 47711, Saudi Arabia)

  • Khan Muhammad

    (Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Korea)

Abstract

Open-source intelligence (OSINT) tools are used for gathering information using different publicly available sources. With the rapid advancement in information technology and excessive use of social media in our daily lives, more public information sources are available than ever before. The access to public information from different sources can be used for unlawful purposes. Extracting relevant information from pools of massive public information sources is a large task. Multiple tools and techniques have been developed for this task, which can be used to identify people, aircraft, ships, satellites, and more. In this paper, we identify the tools used for extracting the OSINT information and their effectiveness concerning each other in different test cases. We mapped the identified tools with Cyber Kill Chain and used them in realistic cybersecurity scenarios to check their effusiveness in gathering OSINT.

Suggested Citation

  • Muhammad Mudassar Yamin & Mohib Ullah & Habib Ullah & Basel Katt & Mohammad Hijji & Khan Muhammad, 2022. "Mapping Tools for Open Source Intelligence with Cyber Kill Chain for Adversarial Aware Security," Mathematics, MDPI, vol. 10(12), pages 1-25, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:12:p:2054-:d:838416
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    References listed on IDEAS

    as
    1. Hayes, Darren R. & Cappa, Francesco, 2018. "Open-source intelligence for risk assessment," Business Horizons, Elsevier, vol. 61(5), pages 689-697.
    2. Sejun Jang & Shuyu Li & Yunsick Sung, 2020. "FastText-Based Local Feature Visualization Algorithm for Merged Image-Based Malware Classification Framework for Cyber Security and Cyber Defense," Mathematics, MDPI, vol. 8(3), pages 1-13, March.
    3. Lu Xu & Yanhui Li & Jing Fu, 2019. "Cybersecurity Investment Allocation for a Multi-Branch Firm: Modeling and Optimization," Mathematics, MDPI, vol. 7(7), pages 1-20, July.
    4. Ozbay, Feyza Altunbey & Alatas, Bilal, 2020. "Fake news detection within online social media using supervised artificial intelligence algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    Full references (including those not matched with items on IDEAS)

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