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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guri, M. Poliak, Y. Shapira, B. Elovici, Y. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Inf. Syst. Eng., Telekom Innovation Labs. at Ben-Gurion Univ., Beer-Sheva, Israel (Shapira, B.; Elovici, Y.) || Dept. of Inf. Syst. Eng., Ben-Gurion Univ., Beer-Sheva, Israel (Guri, M.; Poliak, Y.) |
| Abstract | Smartphones and tablets have become prime targets for malware, due to the valuable private and corporate information they hold. While Anti-Virus (AV) program may successfully detect malicious applications (apps), they remain ineffective against low-level rootkits that evade detection mechanisms by masking their own presence. Furthermore, any detection mechanism run on the same physical device as the monitored OS can be compromised via application, kernel or boot-loader vulnerabilities. Consequentially, trusted detection of kernel rootkits in mobile devices is a challenging task in practice. In this paper we present 'JoKER' - a system which aims at detecting rootkits in the Android kernel by utilizing the hardware's Joint Test Action Group (JTAG) interface for trusted memory forensics. Our framework consists of components that extract areas of a kernel's memory and reconstruct it for further analysis. We present the overall architecture along with its implementation, and demonstrate that the system can successfully detect the presence of stealthy rootkits in the kernel. The results show that although JTAG's main purpose is system testing, it can also be used for malware detection where traditional methods fail. |
| Starting Page | 65 |
| Ending Page | 73 |
| File Size | 573142 |
| Page Count | 9 |
| File Format | |
| e-ISBN | 9781467379526 |
| DOI | 10.1109/Trustcom.2015.358 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-20 |
| Publisher Place | Finland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Trusted Detection JTAG Forensics Humanoid robots Random access memory Malware Mobile handsets Androids Security Kernel Rootkits Android |
| Content Type | Text |
| Resource Type | Article |
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