#Target process 3 for android
We present BPFroid - a novel dynamic analysis framework for Android that uses the eBPF technology of the Linux kernel to continuously monitor events of user applications running on a real device. Research challenges and future directions are also pointed out by consideration of the integrity of the defensive chain.
In line with the phases of the application life cycle, each reviewed work is comprehensively studied in terms of technique, performance, and limitation. We propose an information flow based defensive chain, which provides a new framework to systematically understand various IFC techniques for data leakage detection and prevention in Mobile and IoT applications. With a focus on lifecycle protection, this survey reviews the recent representative works adopted in different phases. According to the application's development life cycle, although most attacks are conducted during the application's execution phase, data leakage vulnerabilities have been introduced since the design phase. Research communities and industries have proposed many Information Flow Control (IFC) techniques for data leakage detection and prevention, including secure modeling, type system, static analysis, dynamic analysis, \textit. It poses a crucial threat to users' identity security, financial security, or even life security. However, these smart applications have been a prime target of adversaries for stealing sensitive data. Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services.
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