1,210 research outputs found

    Biometrics for internet‐of‐things security: A review

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    The large number of Internet‐of‐Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric‐based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric‐cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state‐of‐the‐art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward‐looking issues and future research directions

    A secure lightweight authentication mechanism for IoT devices in generic domain

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    The Internet of Things prompt deployment enhances the security concerns of these systems in recent years. The enormous exchange of sensory information between devices raises the necessity for a secure authentication scheme for Internet of Things devices. Despite many proposed schemes, providing authenticated and secure communication for Internet of Things devices is still an open issue. This research addresses challenges pertaining to the Internet of Things authentication, verification, and communication, and proposes a new secure lightweight mechanism for Internet of Things devices in the generic domain. The proposed authentication method utilizes environmental variables obtained by sensors to allow the system to identify genuine devices and reject anomalous connections

    Multifactor Authentication Key Management System based Security Model Using Effective Handover Tunnel with IPV6

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    In the current modern world, the way of life style is being completely changed due to the emerging technologies which are reflected in treating the patients too. As there is a tremendous growth in population, the existing e-Healthcare methods are not efficient enough to deal with numerous medical data. There is a delay in caring of patient health as communication networks are poor in quality and moreover smart medical resources are lacking and hence severe causes are experienced in the health of patient. However, authentication is considered as a major challenge ensuring that the illegal participants are not permitted to access the medical data present in cloud. To provide security, the authentication factors required are smart card, password and biometrics. Several approaches based on these are authentication factors are presented for e-Health clouds so far. But mostly serious security defects are experienced with these protocols and even the computation and communication overheads are high. Thus, keeping in mind all these challenges, a novel Multifactor Key management-based authentication by Tunnel IPv6 (MKMA- TIPv6) protocol is introduced for e-Health cloud which prevents main attacks like user anonymity, guessing offline password, impersonation, and stealing smart cards. From the analysis, it is proved that this protocol is effective than the existing ones such as Pair Hand (PH), Linear Combination Authentication Protocol (LCAP), Robust Elliptic Curve Cryptography-based Three factor Authentication (RECCTA) in terms storage cost, Encryption time, Decryption time, computation cost, energy consumption and speed. Hence, the proposed MKMA- TIPv6 achieves 35bits of storage cost, 60sec of encryption time, 50sec decryption time, 45sec computational cost, 50% of energy consumption and 80% speed
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