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HexPADS: A Platform to Detect “Stealth” Attacks

  • Conference paper
Engineering Secure Software and Systems (ESSoS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9639))

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Abstract

Current systems are under constant attack from many different sources. Both local and remote attackers try to escalate their privileges to exfiltrate data or to gain arbitrary code execution. While inline defense mechanisms like DEP, ASLR, or stack canaries are important, they have a local, program centric view and miss some attacks. Intrusion Detection Systems (IDS) use runtime monitors to measure current state and behavior of the system to detect an attack orthogonal to active defenses.

Attacks change the execution behavior of a system. Our attack detection system HexPADS detects attacks through divergences from normal behavior using attack signatures. HexPADS collects information from the operating system on runtime performance metrics with measurements from hardware performance counters for individual processes. Cache behavior is a strong indicator of ongoing attacks like rowhammer, side channels, covert channels, or CAIN attacks. Collecting performance metrics across all running processes allows the correlation and detection of these attacks. In addition, HexPADS can mitigate the attacks or significantly reduce their effectiveness with negligible overhead to benign processes.

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The stamp on the top of this paper refers to an approval process conducted by the ESSoS artifact evaluation committee chaired by Alessandra Gorla and Jacques Klein.

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Notes

  1. 1.

    Additional information and details are available on the proc manpage.

  2. 2.

    Scheduling processes on disjoint cores is not enough as the last level cache is shared.

  3. 3.

    The source code of HexPADS is available at http://github.com/HexHive/HexPADS.

  4. 4.

    Google’s prototype implementation is available at https://github.com/google/rowhammer-test.

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Acknowledgments

We would like to thank Clémentine Maurice, Daniel Grauss, Antonio Barresi, Scott A. Carr, and Terry Ching-Hsiang Hsu for generous feedback on the paper. We also thank Clémentine and Daniel for providing access to the CSC implementation and Antonio for providing access to the CAIN implementation. This work was sponsored, in part, by NSF CNS-1513783.

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Authors and Affiliations

  1. Purdue University, West Lafayette, USA

    Mathias Payer

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  1. Mathias Payer
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Correspondence to Mathias Payer .

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Editors and Affiliations

  1. IMDEA Software Institute, Madrid, Spain

    Juan Caballero

  2. Paderborn University & Fraunhofer IEM, Paderborn, Germany

    Eric Bodden

  3. VU University, Amsterdam, The Netherlands

    Elias Athanasopoulos

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Payer, M. (2016). HexPADS: A Platform to Detect “Stealth” Attacks. In: Caballero, J., Bodden, E., Athanasopoulos, E. (eds) Engineering Secure Software and Systems. ESSoS 2016. Lecture Notes in Computer Science(), vol 9639. Springer, Cham. https://doi.org/10.1007/978-3-319-30806-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-30806-7_9

  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-30806-7

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