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  • Open Access

    ARTICLE

    The Trade-Off Between Performance and Security of Virtualized Trusted Execution Environment on Android

    Thien-Phuc Doan, Ngoc-Tu Chau, Jungsoo Park, Souhwan Jung*

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3059-3073, 2023, DOI:10.32604/csse.2023.038664

    Abstract Nowadays, with the significant growth of the mobile market, security issues on the Android Operation System have also become an urgent matter. Trusted execution environment (TEE) technologies are considered an option for satisfying the inviolable property by taking advantage of hardware security. However, for Android, TEE technologies still contain restrictions and limitations. The first issue is that non-original equipment manufacturer developers have limited access to the functionality of hardware-based TEE. Another issue of hardware-based TEE is the cross-platform problem. Since every mobile device supports different TEE vendors, it becomes an obstacle for developers to migrate their trusted applications to other… More >

  • Open Access

    ARTICLE

    Smartphone Security Using Swipe Behavior-based Authentication

    Adnan Bin Amanat Ali1, Vasaki Ponnusamy1, Anbuselvan Sangodiah1, Roobaea Alroobaea2, N. Z. Jhanjhi3,*, Uttam Ghosh4, Mehedi Masud2

    Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 571-585, 2021, DOI:10.32604/iasc.2021.015913

    Abstract Most smartphone users prefer easy and convenient authentication without remembering complicated passwords or drawing intricate patterns. Preferably, after one-time authentication, there is no verification of the user’s authenticity. Therefore, security and privacy against unauthorized users is a crucial research area. Behavioral authentication is an emerging security technique that is gaining attention for its uniqueness and transparency. In this paper, a behavior-based authentication system is built using swipe movements to continuously authenticate the user after one-time traditional authentication. The key feature is the selection of an optimal feature set for the swipe movement. Five machine learning classifiers are used, of which… More >

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