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Intelligent Security Model of Smart Phone Based on Human Behavior in Mobile Cloud Computing

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Abstract

Diverse researches following the advancement of IT technology and emergence of smart devices are common in current research. In particular, the most commercialized smart device, the smart phone, provides convenient communication among users due to easy portability and real-time information sharing within a diverse system. Moreover, spatial and temporal use of smart devices greatly increased because these devices are capable of performing the same functions as a desktop personal computer, making smart phones extremely popular. However, research on smart phones has mainly focused on the convenience of the services offered on these devices, while the issue of security has been neglected. Smart phones are vulnerable to diverse, malicious attacks, which have increased as new functions are developed and commonly used. For this reason, a number of applications were developed to detect a variety of malicious codes in smart phones and prevent private information leakage. However, due to the difficulties of recognizing and responding to attacks, such as advanced persistent threats (APTs), an intelligent security model is urgently required. This paper suggests intelligent security model of smart phone based on human behavior in mobile cloud computing to detect diverse types of malicious code in smart phones and respond to advanced attacks, such as APTs. The suggested intelligent security model of smart phone securely protects users from private information leaks and illegal billing action. Moreover, intelligent response to malicious, difficult-to-detect code is provided by a user behavior-based intelligent analysis, which makes it possible to shut down network, registry, drive, and system accessibility and to notify users to respond to malicious attacks.

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Acknowledgments

This work was supported by Institute for Information and Communications Technology Promotion (IITP) Grant funded by the Korea government (MSIP) (No. B0101-15-1293, Cyber targeted attack recognition and trace-back technology based-on long-term historic analysis of multi-source data).

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Authors and Affiliations

  1. Network Security Research Team, Electronics and Telecommunications Research Institute, Daejeon, Korea

    Daesung Moon & Ikkyun Kim

  2. Department of Computer Science and Engineering and Department of Interdisciplinary Bio IT Materials, SeoulTech, Seoul, Korea

    Jae Woong Joo, Hyung Jin Im & Jong Hyuk Park

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea

    Young-Sik Jeong

Authors
  1. Daesung Moon
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  2. Ikkyun Kim
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  3. Jae Woong Joo
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  4. Hyung Jin Im
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  5. Jong Hyuk Park
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  6. Young-Sik Jeong
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Corresponding authors

Correspondence to Jong Hyuk Park or Young-Sik Jeong.

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Moon, D., Kim, I., Joo, J.W. et al. Intelligent Security Model of Smart Phone Based on Human Behavior in Mobile Cloud Computing. Wireless Pers Commun 91, 1697–1710 (2016). https://doi.org/10.1007/s11277-015-3121-8

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  • DOI: https://doi.org/10.1007/s11277-015-3121-8

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