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  • Open Access

    ARTICLE

    Detecting Android Inter-App Data Leakage Via Compositional Concolic Walking

    Tianjun Wu, Yuexiang Yang

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 755-766, 2019, DOI:10.31209/2019.100000079

    Abstract While many research efforts have been around auditing individual android apps, the security issues related to the interaction among multiple apps are less studied. Due to the hidden nature of Inter-App communications, few existing security tools are able to detect such related vulnerable behaviors. This paper proposes to perform overall security auditing using dynamic analysis techniques. We focus on data leakage as it is one of the most common vulnerabilities for Android applications. We present an app auditing system AppWalker, which uses concolic execution on a set of apps. We use static Inter-App taint analysis to guide the dynamic auditing… More >

  • Open Access

    ARTICLE

    Novel Android Malware Detection Method Based on Multi-dimensional Hybrid Features Extraction and Analysis

    Yue Li1, Guangquan Xu2,3, Hequn Xian1,*, Longlong Rao3, Jiangang Shi4,*

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 637-647, 2019, DOI:10.31209/2019.100000118

    Abstract In order to prevent the spread of Android malware and protect privacy information from being compromised, this study proposes a novel multidimensional hybrid features extraction and analysis method for Android malware detection. This method is based primarily on a multidimensional hybrid features vector by extracting the information of permission requests, API calls, and runtime behaviors. The innovation of this study is to extract greater amounts of static and dynamic features information and combine them, that renders the features vector for training completer and more comprehensive. In addition, the feature selection algorithm is used to further optimize the extracted information to… More >

  • Open Access

    ARTICLE

    Protecting Android Applications with Multiple DEX Files Against Static Reverse Engineering Attacks

    Kyeonghwan Lim1, Nak Young Kim1, Younsik Jeong1, Seong-je Cho1, Sangchul Han2, Minkyu Park2

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 143-153, 2019, DOI:10.31209/2018.100000051

    Abstract The Android application package (APK) uses the DEX format as an executable file format. Since DEX files are in Java bytecode format, you can easily get Java source code using static reverse engineering tools. This feature makes it easy to steal Android applications. Tools such as ijiami, liapp, alibaba, etc. can be used to protect applications from static reverse engineering attacks. These tools typically save encrypted classes.dex in the APK file, and then decrypt and load dynamically when the application starts. However, these tools do not protect multidex Android applications. A multidex Android application is an APK that contains multiple… More >

  • Open Access

    ARTICLE

    CM-Droid: Secure Container for Android Password Misuse Vulnerability

    Wen Zhang1, Keyue Li1,*, Tianyang Li1, Shaozhang Niu1, Zhenguang Gao2

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 181-198, 2019, DOI:10.32604/cmc.2019.05813

    Abstract Android applications are associated with a large amount of sensitive data, therefore application developers use encryption algorithms to provide user data encryption, authentication and data integrity protection. However, application developers do not have the knowledge of cryptography, thus the cryptographic algorithm may not be used correctly. As a result, security vulnerabilities are generated. Based on the previous studies, this paper summarizes the characteristics of password misuse vulnerability of Android application software, establishes an evaluation model to rate the security level of the risk of password misuse vulnerability and develops a repair strategy for password misuse vulnerability. And on this basis,… More >

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