The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks
Abstract
Computer security is severely threatened by software vulnerabilities. Prior work shows that information flow tracking (also referred to as taint analysis) is a promising technique to detect a wide range of security attacks. However, current information flow tracking systems are not very practical, because they either require program annotations, source code, non-trivial hardware extensions, or incur prohibitive runtime overheads. This paper proposes a low overhead, software-only information flow tracking system, called LIFT, which minimizes run-time overhead by exploiting dynamic binary instrumentation and optimizations/or detecting various types of security attacks without requiring any hardware changes. More specifically, LIFT aggressively eliminates unnecessary dynamic information flow tracking, coalesces information checks, and efficiently switches between target programs and instrumented information flow tracking code. We have implemented LIFT on a dynamic binary instrumentation framework on Windows. Our real-system experiments with two real-world server applications, one client application and eighteen attack benchmarks show that LIFT can effectively detect various types of security attacks. LIFT also incurs very low overhead, only 6.2% for server applications, and 3.6 times on average for seven SPEC INT2000 applications. Our dynamic optimizations are very effective in reducing the overhead by a factor of 5-12 times
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Cites
Pin: building customized program analysis tools with dynamic instrumentation
Luk, C.-K., Cohn, R., Muth, R., Patil, H., Klauser, A., Lowney, G., Wallace, S., Reddi, V. J., & Hazelwood, K. (2005) · ACM SIGPLAN Notices · doi:10.1145/1064978.1065034 · Cited by 3,180
Pin: building customized program analysis tools with dynamic instrumentation
Luk, C.-K., Cohn, R., Muth, R., Patil, H., Klauser, A., Lowney, G., Wallace, S., Reddi, V. J., & Hazelwood, K. (2005) · Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation · doi:10.1145/1065010.1065034 · Cited by 2,310
A lattice model of secure information flow
Denning, D. E. (1976) · Communications of the ACM · doi:10.1145/360051.360056 · Cited by 1,907
StackGuard: Automatic Adaptive Detection and Prevention of Buffer-Overflow Attacks
Cowan, C., Pu, C., Maier, D., Hintony, H., Walpole, J., Bakke, P., Beattie, S., Grier, A., Wagle, P., & Zhang, Q. (1998) · PDXScholar (Portland State University) · Cited by 1,278
Newsome, J., & Song, D. X. (2018) · Figshare · doi:10.1184/r1/6468716 · Cited by 1,270
JFlow: practical mostly-static information flow control
Myers, A. C. (1999) · Proceedings of the 26th ACM SIGPLAN-SIGACT symposium on Principles of programming languages · doi:10.1145/292540.292561 · Cited by 1,034
Certification of programs for secure information flow
Denning, D. E., & Denning, P. J. (1977) · Communications of the ACM · doi:10.1145/359636.359712 · Cited by 1,029
Moore, D., Paxson, V., Savage, S., Shannon, C., Staniford, S., & Weaver, N. (2003) · IEEE Security & Privacy · doi:10.1109/msecp.2003.1219056 · Cited by 973
Secure program execution via dynamic information flow tracking
Suh, G. E., Lee, J. W., Zhang, D., & Devadas, S. (2004) · Proceedings of the 11th international conference on Architectural support for programming languages and operating systems · doi:10.1145/1024393.1024404 · Cited by 740
Protecting privacy using the decentralized label model
Myers, A. C., & Liskov, B. (2000) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/363516.363526 · Cited by 556
Cited by
Valgrind: a framework for heavyweight dynamic binary instrumentation
Nethercote, N., & Seward, J. (2007) · Proceedings of the 28th ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/1250734.1250746 · Cited by 2,244
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
Enck, W., Gilbert, P., Chun, B.-G., Cox, L. P., Jung, J., McDaniel, P. D., & Sheth, A. N. (2010) · doi:10.5555/1924943.1924971 · Cited by 2,238
Enck (2014) · doi:10.1145/2619091 · Cited by 1,203
Schwartz, E. J., Avgerinos, T., & Brumley, D. (2010) · 2010 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2010.26 · Cited by 717
Information flow control for secure cloud computing
Bacon, J., Eyers, D., Pasquier, T. F. J.-M., Singh, J., Papagiannis, I., & Pietzuch, P. (2014) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2013.122313.130423 · Cited by 105
Metadata
- Authors
- Qin, F., Wang, C., Li, Z., Kim, H.-S., Zhou, Y., & Wu, Y.
- Venue
- 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06)
- Publisher
- IEEE
- Published
- 2006-12
- Pages
- 135-148
- ISSN
- 1072-4451 (ISSN-L)
- OpenAlex
- W2144789413
- Cited by
- 422
- References
- 22
- FWCI
- 22.57
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Qin, F., Wang, C., Li, Z., Kim, H.-S., Zhou, Y., & Wu, Y. (2006). LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks. 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06). https://doi.org/10.1109/micro.2006.29
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