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Dynamically-Enabled Defense Effectiveness Evaluation in Home Internet Based on Vulnerability Analysis

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Cloud Computing and Security (ICCCS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10603))

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Abstract

Current intelligent devices in Home Internet, such as routers and cameras, have suffered malicious attacks from hackers. Therefore, security for Home Internet appears particularly significant. In order to have a quantitative evaluation of security defense ability of Home Internet system, this paper proposes an improved vulnerability scoring method on Home Internet based on Information Security Technology Security Vulnerability Classification Guide. Compared to original scoring method which is mainly based on Internet, this improved scoring performs differently. It’s aimed to have a quantitative evaluation on security defense effectiveness of Home Internet system: higher vulnerability score indicates higher threaten degree and relatively weak defense ability. In this paper, the Home Internet system takes dynamically-enabled defense technology (randomly changes system status) to make defense. Through calculating vulnerability scores before and after random changes of system status, this paper succeeds in making a quantitative evaluation on security defense ability of Home Internet system.

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Acknowledgements

We would like to thank all anonymous reviewers for their helpful advice and comments. This work is supported by the CCF-Venustech Hongyan Research Initiative (2016-009), PAPD fund and the CICAEET fund.

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Correspondence to Shiqi Deng .

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Wang, T., Lei, M., Chen, J., Deng, S., Yang, Y. (2017). Dynamically-Enabled Defense Effectiveness Evaluation in Home Internet Based on Vulnerability Analysis. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10603. Springer, Cham. https://doi.org/10.1007/978-3-319-68542-7_71

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  • DOI: https://doi.org/10.1007/978-3-319-68542-7_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68541-0

  • Online ISBN: 978-3-319-68542-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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