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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Wang Mingyi Zhao Qiang Zeng Dinghao Wu Peng Liu |
| Copyright Year | 2015 |
| Description | Author affiliation: Pennsylvania State Univ., University Park, PA, USA (Jun Wang; Mingyi Zhao; Qiang Zeng; Dinghao Wu; Peng Liu) |
| Abstract | Buffer over-read vulnerabilities (e.g., Heartbleed) can lead to serious information leakage and monetary lost. Most of previous approaches focus on buffer overflow (i.e., over-write), which are either infeasible (e.g., canary) or impractical (e.g., bounds checking) in dealing with over-read vulnerabilities. As an emerging type of vulnerability, people need in-depth understanding of buffer over-read: the vulnerability, the security risk and the defense methods. This paper presents a systematic methodology to evaluate the potential risks of unknown buffer over-read vulnerabilities. Specifically, we model the buffer over-read vulnerabilities and focus on the quantification of how much information can be potentially leaked. We perform risk assessment using the RUBiS benchmark which is an auction site prototype modeled after eBay.com. We evaluate the effectiveness and performance of a few mitigation techniques and conduct a quantitative risk measurement study. We find that even simple techniques can achieve significant reduction on information leakage against over-read with reasonable performance penalty. We summarize our experience learned from the study, hoping to facilitate further studies on the over-read vulnerability. |
| Starting Page | 555 |
| Ending Page | 562 |
| File Size | 390153 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479986293 |
| DOI | 10.1109/DSN.2015.59 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-22 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Risk management Measurement Payloads Benchmark testing Memory management Heart rate variability Entropy |
| Content Type | Text |
| Resource Type | Article |
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