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Context-aware multimodal recommendations of multimedia data in cyber situational awareness

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Abstract

The current proliferation of large amounts of multimedia data creates an unprecedented challenge for security analysts in the context of Cyber Situational Awareness. Due to this phenomenal growth of multimedia data, security analysts have to invest enormous time and efforts in filtering and correlating multimedia data in order to make informed decisions about identifying and mitigating threats and vulnerabilities. In particular, analysts have to analyze and interpret diverse multimedia network data with varying contexts in order to find the true evidence of cyber attacks. Considering the multimedia nature of cyber security data, we propose a cloud-assisted recommendation system that can identify and retrieve multimedia data of interest based on contextual information and security analysts’ personal preferences. This recommendation system benefits security analysts by establishing a bridge between their personal preferences, the contextual information of their analytical process, and the various types of modality of multimedia data. Evaluation of the proposed system shows evidence that our multimedia recommendation mechanisms promotes cyber threat understanding and risk assessment.

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Acknowledgements

The authors are grateful to the Deanship of Scientific Research, King Saud University for supporting through Vice Deanship of Scientific Research Chairs

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Authors and Affiliations

  1. Department of Informatics and Computer Science, Indiana University, Kokomo, IN, 46904, USA

    Awny Alnusair & Chen Zhong

  2. Department of Management Information Systems, Princess Sumaya University for Technology, Amman, Jordan

    Majdi Rawashdeh

  3. Department of Software Engineering, College of Computer and Information Sciences, Riyadh, 11543, Saudi Arabia

    M. Shamim Hossain & Atif Alamri

  4. Research Chair of Pervasive and Mobile Computing, King Saud University, Riyadh, 11543, Saudi Arabia

    M. Shamim Hossain & Atif Alamri

Authors
  1. Awny Alnusair
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  2. Chen Zhong
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  3. Majdi Rawashdeh
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  4. M. Shamim Hossain
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  5. Atif Alamri
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Corresponding author

Correspondence to M. Shamim Hossain.

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Alnusair, A., Zhong, C., Rawashdeh, M. et al. Context-aware multimodal recommendations of multimedia data in cyber situational awareness. Multimed Tools Appl 76, 22823–22843 (2017). https://doi.org/10.1007/s11042-017-4681-2

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  • DOI: https://doi.org/10.1007/s11042-017-4681-2

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