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Access Control System Which Uses Human Behavioral Profiling for Authentication

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

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Abstract

“An access control device has been used for securing valuable properties and lives from sinister people” [1]. Recently, these security device technologies have been improved tremendously in providing security for people through various methods. “Nevertheless, these methods are not individually perfect to provide optimal security. These, most of the time, are not convenient for a wide range of users (i.e, the innocent users who do not pose any threat) due to access time delay and several layers of authentication. The proposed security system should exhibit capabilities that support adaptive security procedures for a diverse range of users, so most innocent users require a minimum layer of identity authentication and verification while suspicious users may require passing through some additional layers of security authentication and verification” [1]. This paper proposes “a novel smart access control (SAC) system, which can identify and categorize suspicious users from the analysis of one’s activities and bio information. The SAC system observes and records users’ daily behavioral activities. From the analysis of the collected data, it selectively chooses certain users for additional layers of authentication procedure and quickly isolates those individuals who might pass through scrutiny by security personnel. Due to this adaptive feature, the SAC system not only minimizes delays and provides more convenience to the users but also enhances the security measure” [1]. Moreover, a novel idea of DPIN, a concept that uses memory and analytical potency of a user to dynamic generation, and updates ones security key is proposed.

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References

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Correspondence to Lohit Penubaku .

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Penubaku, L., Kim, JH., Iyengar, S.S., Shilpa, K.A. (2016). Access Control System Which Uses Human Behavioral Profiling for Authentication. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

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