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Showing 1 to 5 of 5 for “"Mobile Device Security"”.

  1. Anomaly Detection for Mobile Device Comfort

    … current context. This can be done to prevent the mobile phone from being compromised physically or to warn the user when he/she is behaving "unusually."We apply the "time slice" notion to existing anomaly detection methods, evaluate our approach on two published data sets, and confirm that it is …

    carleton Repository record for Anomaly Detection for Mobile Device Comfort (opens in a new tab)

  2. Security Weaknesses of the Android Advertising Ecosystem

    Mobile device security is becoming increasingly important as the number of devices that are used continues to grow and has surpassed one billion active devices globally. In this thesis, we will investigate the security of Android ad supported apps, security vulnerabilities that have been identified …

    vt Repository record for Security Weaknesses of the Android Advertising Ecosystem (opens in a new tab)

  3. Multi-Vector Portable Intrusion Detection System

    … designed to fulfill the need for increased mobile device security. The Battery-Sensing Intrusion Protection System (B-SIPS) [1] initially took a non-conventional approach to intrusion detection by recognizing attacks based on anomalous Instantaneous Current (IC) drainage. An extension of …

    vt Repository record for Multi-Vector Portable Intrusion Detection System (opens in a new tab)

  4. A Comparison of the Usability of Security Mechanisms Provided by iOS and Android

    <p>The Open Web Application Security Project identifies that the number one vulnerability in mobile applications is the misuse of platform-provided security mechanisms. This means that platforms like iOS and Android, which now account for 99.8\% of the mobile phone market, are providing mechanisms …

    calpoly Repository record for A Comparison of the Usability of Security Mechanisms Provided by iOS and Android (opens in a new tab)

  5. ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security

    … fake presentations, potential biases, and security issues. Furthermore, the remarkable advancement of AI-leveraged production and manipulation techniques of fictitious human facial images, DeepFake, elevates spreading misinformation and creating deception for identity theft, which becomes …

    umkc Repository record for ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security (opens in a new tab)