Open AccessContent Analyzer for Information Leakage Detedction and Prevention in Android Smart Devices: A Conceptual Approach.
Author(s) -
T Okebule,
O.A. Adeyemo,
K.A. Olatunji,
A.S Awe
Publication year - 2020
Publication title -
advances in multidisciplinary and scientific research journal
Language(s) - English
Resource type - Journals
ISSN - 2488-8699
DOI - 10.22624/aims/v6n1p7
Subject(s) - android (operating system) , computer science , information leakage , leakage (economics) , computer security , static analysis , android application , information sensitivity , false positive paradox , mobile device , embedded system , world wide web , operating system , artificial intelligence , economics , macroeconomics , programming language
The advent of android operating system introduced tools to keep track of users’ information activities and prevent information leakage which bridged the trust between application developers and consumers. Literature shows that several phenomena had been developed to prevent malicious applications from stealing personal sensitive information from smart phones but there is still the need for efficient solutions. This study proposes a conceptual approach for the development of a contentAnalyzer for information leakage detection and prevention on android-based devices. The concept will help to minimize false positives that will in turn lead to increase in code coverage towards detecting the maximum number of data leaks. The proposed concept combines both static and dynamic analysis, and if implemented will improve checking through the codes in the file activities and vulnerabilities that could be a problem. Keywords: Android, ContentAnalyzer, Static Analysis, Dynamic Analysis, Information leakage,Information leakage detection, Information leakage Prevention.