Android App for Ambient Light Sensors -myassignmenthelp.com

Question: Discuss about theAndroid App for Ambient Light Sensors. Answer: The ambient light sensors implemented in the mobile devices provide the illumination data and the data helps in improving the screen brightness of the mobile under sunlight, the data also helps in decreasing the screen brightness in absence of light to lessen eye fatigue. The summary will highlight the side channel by which the security breaches can be detected, different algorithms and mechanisms will also be showcased. The ambient light sensors leak sensitive information of the mobile which helps the intruders to steal the information. In this way, the security and the privacy of the mobile can be compromised. Side channels can access the security threats; side channels can detect the unwanted information leakage (Aviv et al. 2012). The security information like Personal Identification Number (PIN) and the unlock pattern can be traced and tracked by exploring the light sensor in the mobile phones. The PIN can be detected and some notable authors have suggested the methods, the window size of the phone can be moved over the sensor data to detect the input PIN, while some other suggested the PIN data can be found by capturing vibrations from the phones microphone while the user presses a touchscreen button (Gibler et al. 2012). By utilising the Matlabs StatisticsToolbox and machine-learning algorithm, the unknown PIN can be determined. Lastly, by comparing the classification algorithm mechanisms like logistic regression mechanisms, KNN mechanisms and discriminant analysis mechanisms the PIN can be detected (Aviv et al. 2012). However, there are certain limitations, if the users edit the PIN in between while writing PIN or while the user is entering the PIN during a walk around, the PIN cannot be recognised. It can be concluded from the summary that the light sensor of the mobile phone has certain advantages as well as certain security risks associated with it. The PIN, the unlock pattern can be identified by the algorithms and mechanisms discussed. References J. Aviv, B. Sapp, M. Blaze, and J. M. Smith. Practicality of Accelerometer Side Channels on Smartphones. In Annual Computer Security Applications Conference (ACSAC), pages 4150, 2012 Gibler, J. Crussell, J. Erickson, and H. Chen. Android Leaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale. In Trust and Trustworthy Computing (TRUST), pages 291307, 2012.