research-article

Public Access

Emerging (un-)reliability based security threats and mitigations for embedded systems: special session

Authors:

Hussam Amrouch,

Prashanth Krishnamurthy,

Farshad KhorramiAuthors Info & Claims

CASES '17: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion

Article No.: 17, Pages 1 - 10

https://doi.org/10.1145/3125501.3125529

Published: 15 October 2017 Publication History

Abstract

This paper addresses two reliability-based security threats and mitigations for embedded systems namely, aging and thermal side channels. Device aging can be used as a hardware attack vector by using voltage scaling or specially crafted instruction sequences to violate embedded processor guard bands. Short-term aging effects can be utilized to cause transient degradation of the embedded device without leaving any trace of the attack. (Thermal) side channels can be used as an attack vector and as a defense. Specifically, thermal side channels are an effective and secure way to remotely monitor code execution on an embedded processor and/or to possibly leak information. Although various algorithmic means to detect anomaly are available, machine learning tools are effective for anomaly detection. We will show such utilization of deep learning networks in conjunction with thermal side channels to detect code injection/modification representing anomaly.

References

[1]

2014. Cyanogenmod forum. http://forum.cyanogenmod.com/ (last accessed 10 Feb., 2014). (2014).

[2]

2014. ICS-CERT year in review - 2014. [Online]: https://ics-cert.us-cert.gov/sites/default/files/Annual_Reports/Year_in_Review_FY2014_Final.pdf. (2014).

[3]

2015. NCCIC/ICS-CERT Year in Review - 2015. [Online]: https://ics-cert.us-cert.gov/sites/default/files/Annual_Reports/Year_in_Review_FY2015_Final_S508C.pdf. (2015).

[4]

D. Agrawal, B. Selcuk, K.Deniz, P. Rohatgi, and B. Sunar. 2007. Trojan detection using IC fingerprinting. In IEEE Symposium on Security and Privacy. 296--310.

Digital Library

[5]

M. A. Alam, K. Haldun, V. Dhanoop, and M. Souvik. 2007. A comprehensive model for PMOS NBTI degradation: Recent progress. Microelectronics Reliability 47, 6 (June 2007), 853--862.

Digital Library

[6]

H. Amrouch and J. Henkel. 2015. Lucid infrared thermography of thermally-constrained processors. In IEEE/ACM Symposium on Low Power Electronics and Design (ISLPED). 347--352.

[7]

H. Amrouch, B. Khaleghi, A. Gerstlauer, and J. Henkel. 2016. Reliability-aware Design to Suppress Aging. In IEEE/ACM Design Automation Conference. 1--6.

Digital Library

[8]

H. Amrouch, J. Martin-Martinez, V. van Santen, M. Moras, R. Rodriguez, M. Nafria, and J. Henkel. 2015. Connecting the physical and application level towards grasping aging effects. In IEEE Reliability Physics Symposium (IRPS). 3.D.1.1--3.D.1.8.

[9]

H. Amrouch, S. Mishra, V. van Santen, S. Mahapatra, and J. Henkel. 2017. Impact of BTI on dynamic and static power: From the physical to circuit level. In IEEE Reliability Physics Symposium (IRPS). CR-3.1--CR-3.6.

[10]

H. Amrouch, V. van Santen, T. Ebi, V. Wenzel, and J. Henkel. 2014. Towards Interdependencies of Aging Mechanisms. In IEEE/ACM Conference on Computer-Aided Design. 478--485.

[11]

H. Amrouch, V. M. van Santen, and J. Henkel. 2017. Interdependencies of Degradation Effects and Their Impact on Computing. IEEE Design & Test 34, 3 (June 2017), 59--67.

[12]

S. Arasu, M. Nourani, J. M. Carulli, and V. K. Reddy. 2016. Controlling Aging in Timing-Critical Paths. IEEE Design & Test 33, 4 (Aug 2016), 82--91.

[13]

J. Balasch, B. Gierlichs, and I. Verbauwhede. 2015. Electromagnetic circuit fingerprints for Hardware Trojan detection. In IEEE International Symposium on Electromagnetic Compatibility. 246--251.

[14]

S. Bhardwaj, W. Wang, R. Vattikonda, Y. Cao, and S. Vrudhula. 2006. Predictive modeling of the NBTI effect for reliable design. In IEEE Custom Integrated Circuits Conference. 189--192.

[15]

S. Biedermann, S. Katzenbeisser, and J. Szefer. 2015. Hard Drive Side-Channel Attacks using Smartphone Magnetic Field Sensors. In International Conference in Financial Cryptography and Data Security. Springer, 489--496.

[16]

C. Blask. 2011. ICS Cybersecurity: Water, water everywhere. [Online]: http://www.infosecisland.com/blogview/18281-ICS-Cybersecurity-Water-Water-Everywhere.html. (Nov 2011).

[17]

E. Burton, G. Schrom, F. Paillet, J. Douglas, W. J. Lambert, K. Radhakrishnan, and M. Hill. 2014. FIVR---Fully integrated voltage regulators on 4th generation Intel® Core^™ SoCs. In IEEE Applied Power Electronics Conference and Exposition (APEC). 432--439.

[18]

E. Byres and J. Lowe. 2004. The myths and facts behind cyber security risks for industrial control systems. In The VDE Kongress, Vol. 116. 213--218.

[19]

R. Callan, A. Zaji, and M. Prvulovic. 2014. A practical methodology for measuring the side-channel signal available to the attacker for instruction-level events. In IEEE/ACM International Symposium on Microarchitecture. 242--254.

Digital Library

[20]

A. Cárdenas, S. Amin, and S. Sastry. 2008. Research Challenges for the Security of Control Systems. In 3rd USENIX workshop on Hot Topics in Security.

[21]

A. Cárdenas, S. Amin, B. Sinopoli, A Giani, A. Perrig, and S Sastry. 2009. Challenges for securing cyber physical systems. In Workshop on future directions in cyber-physical systems security.

[22]

B. Carrara and C. Adams. 2014. On acoustic covert channels between air-gapped systems. In International Symposium of Foundations and Practice of Security. Springer, 3--16.

[23]

S. Chari, J. R. Rao, and P. Rohatgi. 2002. Template attacks. In International Workshop on Cryptographic Hardware and Embedded Systems. Springer, 13--28.

[24]

S. S. Clark, B. Ransford, A. Rahmati, S. Guineau, J. Sorber, K. Fu, and W. Xu. 2013. WatsUpDoc: power side channels to non-intrusively discover un-targeted malware on embedded medical devices. In USENIX Conference on Safety, Security, Privacy and Interoperability of Health Information Technologies. 9--9.

[25]

A. Dakshi, R. Josyula, R. Pankaj, and S. Kai. 2005. Templates as master keys. In International Workshop on Cryptographic Hardware and Embedded Systems (CHES). Springer, 15--29.

[26]

F. Debeer, M. Witteman, B. Gedrojc, and Yijun S. Riscure. 2011. Practical Electro-Magnetic Analysis. In Non-invasive Attack Testing Workshop NIAT, Nara: Todaiji Cultural Center (Technical Programs).

[27]

N. Falliere, L. Murchu, and E. Chien. 2011. W32. Stuxnet dossier. White paper, Symantec Corp., Security Response 5 (2011).

[28]

P. Fouque, G. Leurent, D. Réal, and Fr. Valette. 2009. Practical electromagnetic template attack on HMAC. In International Workshop on Cryptographic Hardware and Embedded Systems (CHES). Springer, 66--80.

Digital Library

[29]

D. Genkin, L. Pachmanov, I. Pipman, and E. Tromer. 2015. Stealing keys from PCs using a radio: Cheap electromagnetic attacks on windowed exponentiation. In International Workshop on Cryptographic Hardware and Embedded Systems. Vol. 9293. Springer, 207--228.

[30]

D. Genkin, A. Shamir, and E. Tromer. 2014. RSA key extraction via low-bandwidth acoustic cryptanalysis. In Advances in Cryptology (CRYPTO). Springer, 444--461.

[31]

N. Goel, T. Naphade, and S. Mahapatra. 2015. Combined trap generation and transient trap occupancy model for time evolution of NBTI during DC multi-cycle and AC stress. In IEEE Reliability Physics Symposium (IRPS). 4A-3.

[32]

G. Goller and G. Sigl. 2015. Side Channel Attacks on Smartphones and Embedded Devices Using Standard Radio Equipment. In International Workshop on Constructive Side-Channel Analysis and Secure Design. Vol. 9064. Springer, 255--270.

Digital Library

[33]

M. Guri, A. Kachlon, O. Hasson, G. Kedma, Y. Mirsky, and Y. Elovici. 2015. GSMem: data exfiltration from air-gapped computers over GSM frequencies. In USENIX Security Symposium. 849--864.

[34]

M. Guri, G. Kedma, A. Kachlon, and Y. Elovici. 2014. AirHopper: Bridging the air-gap between isolated networks and mobile phones using radio frequencies. In IEEE International Conference on Malicious and Unwanted Software. 58--67.

[35]

M. Guri, M. Monitz, Y. Mirski, and Y. Elovici. 2015. BitWhisper: Covert Signaling Channel between Air-Gapped Computers using Thermal Manipulations. In IEEE Conference on Computer Security Foundations. 276--289.

Digital Library

[36]

H.Amrouch and J. Henkel. 2016. KIT short-term aging models, tools and degradation-aware cell libraries. http://ces.itec.kit.edu/dependable-hardware.php. (2016).

[37]

M. Hanspach and M. Goetz. 2014. On covert acoustical mesh networks in air. arXiv preprint arXiv:1406.1213 (2014).

[38]

M. Hutter and J. Schmidt. 2013. The temperature side channel and heating fault attacks. In International Conference on Smart Card Research and Advanced Applications. Springer, 219--235.

[39]

N. Karimi, A. K. Kanuparthi, X. Wang, O. Sinanoglu, and R. Karri. 2015. MAGIC: Malicious Aging in Circuits/Cores. ACM Transaction on Architecture Code Optimization 12, 1 (Apr. 2015), 5:1--5:25.

Digital Library

[40]

T. Kasper, D. Oswald, and C. Paar. 2011. Side-channel analysis of cryptographic RFIDs with analog demodulation. In International Workshop on RFID. Security and Privacy. Vol. 7055. Springer, 61--77.

[41]

J. Keane, X Wang, D. Persaud, and C. H. Kim. 2010. An All-In-One Silicon Odometer for Separately Monitoring HCI, BTI, and TDDB. IEEE Journal of Solid States Circuits 45, 4 (Apr 2010), 817 -- 829.

[42]

A. Keliris, H. Salehghaffari, B. Cairl, P. Krishnamurthy, M. Maniatakos, and F. Khorrami. 2016. Machine learning-based defense against process-aware attacks on industrial control systems. In IEEE International Test Conference (ITC). 1--10.

[43]

S. Khan, Nor Z. Haron, S. Hamdioui, and F. Catthoor. 2011. NBTI monitoring and design for reliability in nanoscale circuits. In IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems. 68--76.

Digital Library

[44]

F. Khorrami, R. Karri, and P. Krishnamurthy. 2017. Instrumenting Code for Embedded Controlled Remote Autonomous Monitoring. (Jan 2017).

[45]

F. Khorrami, P. Krishnamurthy, and R. Karri. 2016. Cybersecurity for control system: A process aware perspective. IEEE Design & Test 33, 5 (Oct 2016), 75--83.

[46]

F. Khorrami, P. Krishnamurthy, and H. Melkote. 2003. Modeling and Adaptive Nonlinear Control of Electric Motors. Springer Verlag.

[47]

E. Kovacs. 2014. Cyberattack on German Steel Plant Caused Significant Damage. [Online]: http://www.securityweek.com/cyberattack-german-steel-plant-causes-significant-damage-report. (Dec 2014).

[48]

D. Kravets. 2009. Feds: Hacker Disabled Offshore Oil Platforms' Leak-Detection System. [Online]: http://www.wired.com/2009/03/feds-hacker-dis/. (Mar 2009).

[49]

P. Krishnamurthy, F. Khorrami, R. Karri, D. Paul-Pena, and H. Salehghaffari. 2017. Process-aware side-channel information leakage from physical instrumentation/devices in cyber-physical systems. (2017). submitted for journal publication.

[50]

D. Kushner. 2013. The Real Story of Stuxnet. [Online]: http://spectrum.ieee.org/telecom/security/the-real-story-of-stuxnet. (Feb. 2013).

[51]

H. Li, A. T. Markettos, and S. Moore. 2005. Security evaluation against electromagnetic analysis at design time. In International Workshop on Cryptographic Hardware and Embedded Systems (CHES). Springer, 280--292.

Digital Library

[52]

V. Lomné, E. Prouff, M. Rivain, T. Roche, and A. Thillard. 2014. How to estimate the success rate of higher-order side-channel attacks. In International Workshop on Cryptographic Hardware and Embedded Systems (CHES). Springer, 35--54.

Digital Library

[53]

S. McLaughlin, C. Konstantinou, X. Wang, L. Davi, A. Sadeghi, M. Maniatakos, and R. Karri. 2016. The Cybersecurity Landscape in Industrial Control Systems. Proc. IEEE 104, 5 (May 2016), 1039--1057.

[54]

O. Meynard, D. Réal, S. Guilley, F. Flament, J-L. Danger, and F. Valette. 2010. Characterization of the electromagnetic side channel in frequency domain. In International Conference on Information Security and Cryptology. Springer, 471--486.

[55]

C. Mims. 2013. If it ain't broke, of course Apple is engaging in planned obsolescence. http://qz.com/141297/of-courseapple-is-engaging-in-planned-obsolescence. (2013).

[56]

Oracle. 2006. OpenSPARC T1. http://www.oracle.com/technetwork/systems/opensparc/opensparc-t1-page-1444609.html. (2006).

[57]

N. Patel, P. Krishnamurthy, H. Amrouch, J. Henkel, M. Shamouilian, R. Karri, and F. Khorrami. 2017. Towards a New Thermal Monitoring Based Framework for Embedded CPS Device Security. (2017). submitted for journal publication.

[58]

D. Paul-Pena, P. Krishnamurthy, R. Karri, and F. Khorrami. 2017. Process-aware side channel monitoring for embedded control system security. In IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC).

[59]

C. Rampell. 2013. Cracking the Apple trap. http://www.nytimes.com/2013/11/03/magazine/why-apple-wants-to-bust-your-iphone.html. (2013).

[60]

C. Rechberger and E. Oswald. 2004. Practical template attacks. In International Workshop on Information Security Applications. Vol. 3325. Springer, 440--456.

Digital Library

[61]

J. H. Reed and C. R. A. Gonzalez. 2012. Enhancing Smart Grid cyber security using power fingerprinting: Integrity assessment and intrusion detection. In International Workshop on Future of Instrumentation. 1--3.

[62]

J. Robertson and M. Riley. 2014. Mysterious '08 Turkey pipeline blast opened new cyberwar. [Online]: http://www.bloomberg.com/news/articles/2014-12-10/mysterious-08-turkey-pipeline-blast-opened-new-cyberwar. (Dec 2014).

[63]

D. Rodopoulos, S.B. Mahato, V.V. de Almeida Camargo, B. Kaczer, F. Catthoor, S. Cosemans, G. Groeseneken, A. Papanikolaou, and D. Soudris. 2011. Time and workload dependent device variability in circuit simulations. In IEEE International Conference on IC Design & Technology (ICICDT).

[64]

P. Rohatgi. 2009. Improved techniques for side-channel analysis. In Cryptographic Engineering. Springer, 381--406.

[65]

M. Rosoff. 2012. Microsoft: Apple makes old iPhones 'unusably slow' on purpose. (2012). http://www.businessinsider.com/microsoft-apple-makes-old-iphones-unusably-slow-on-purpose-2012-3

[66]

D. K. Schroder and J. A. Babcock. 2003. Negative bias temperature instability: Road to cross in deep submicron silicon semiconductor manufacturing. Journal of Applied Physics 94, 1 (July 2003), 1--18.

Digital Library

[67]

H. Skipworth. 2012. The myth of the Sony kill switch. http://www.telegraph.co.uk/technology/news/7054587/Themyth-of-the-Sony-kill-switch.html. (2012).

[68]

F. Standaert. 2010. Introduction to side-channel attacks. In Secure Integrated Circuits and Systems. Springer, 27--42.

[69]

R. J. Turk. 2005. Cyber Incidents Involving Control Systems. [Online]: https://inldigitallibrary.inl.gov/sti/3480144.pdf. (Oct. 2005).

[70]

V. van Santen, H. Amrouch, N. Parihar, S. Mahapatra, and J. Henkel. 2016. Aging-aware Voltage Scaling. In Design, Automation and Test in Europe. EDA Consortium, 576--581.

[71]

V. M. van Santen, J. Martin-Martinez, H. Amrouch, M. Nafria, and J. Henkel. 2017. Reliability in Super- and Near-Threshold Computing: A Unified Model of RTN, BTI and PV. IEEE Transactions on Circuits and Systems-I (TCAS-1) (2017).

[72]

M. Vuagnoux and S. Pasini. 2009. Compromising Electromagnetic Emanations of Wired and Wireless Keyboards. In USENIX Security Symposium. 1--16.

[73]

W. Wang, S. Yang, S. Bhardwaj, S. Vrudhula, F. Liu, and Y. Cao. 2010. The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis. IEEE Transactions on Very Large Scale Integration Systems 18, 2 (2010), 173--183.

Digital Library

[74]

X. Wang and R. Karri. 2013. Numchecker: Detecting kernel control-flow modifying rootkits by using hardware performance counters. In IEEE/ACM Design Automation Conference. 79:1--79:7.

Digital Library

[75]

X. Wang and R. Karri. 2016. Reusing Hardware Performance Counters to Detect and Identify Kernel Control-Flow Modifying Rootkits. IEEE Transactions on Computer-Aided Design 35, 3 (March 2016), 485--498.

Digital Library

[76]

X. Wang, C. Konstantinou, M. Maniatakos, and R. Karri. 2015. ConFirm: Detecting firmware modifications in embedded systems using Hardware Performance Counters. In IEEE/ACM International Conference on Computer-Aided Design (ICCAD). 544--551.

[77]

G Wolrich, E. McLellan, L. Harada, J. Montanaro, and R. Yodlowski. 1984. A high performance floating point co-processor. IEEE Journal of Solid-State Circuits 19, 5 (May 1984), 690--696.

[78]

T. Worstall. 2013. Certainly there is planned obsolescence in Apple's iKit it is just not planned by Apple. http://www.forbes.com/sites/timworstall/2013/10/31/certainly-theres-planned-obsolescence-in-apples-ikit-its-just-not-planned-by-apple. (2013).

Cited By

Hu JXiang X(2024)Research on Storage Structure Design and Performance Optimization Strategy of Embedded System for Low-Capacity Storage UnitsApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-27889:1Online publication date: 4-Oct-2024
https://doi.org/10.2478/amns-2024-2788
Liu XLai YLiu JLuo S(2023)TZEAMM: An Efficient and Secure Active Measurement Method Based on TrustZoneSecurity and Communication Networks10.1155/2023/69219602023(1-18)Online publication date: 31-Jan-2023
https://doi.org/10.1155/2023/6921960
Kumar SChauhan YAmrouch H(2023)Invited Paper: Ultra-Efficient Edge AI Using FeFET-based Monolithic 3D Integration2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323845(1-6)Online publication date: 28-Oct-2023
https://doi.org/10.1109/ICCAD57390.2023.10323845
Show More Cited By

Emerging (un-)reliability based security threats and mitigations for embedded systems: special session
1. Computer systems organization

Recommendations

Hardware-based cyber threats: attack vectors and defence techniques

There are certain vulnerabilities associated with computing hardware that attackers can exploit to launch destructive attacks which often go undetected by the existing hardware and software countermeasures. Side channel attacks (SCAs) and Rowhammer ...
Countermeasures for timing-based side-channel attacks against shared, modern computing hardware

There are several vulnerabilities in computing systems hardware that can be exploited by attackers to carry out devastating microarchitectural timing-based side-channel attacks against these systems and as a result compromise the security of the users of ...
Implications of fin width scaling on variability and reliability of high-k metal gate FinFETs

In this paper, we report a study to understand the fin width dependence on performance, variability and reliability of n-type and p-type triple-gate fin field effect transistors (FinFETs) with high-k dielectric and metal gate. Our results indicate that ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

CASES '17: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion

October 2017

51 pages

ISBN:9781450351843

DOI:10.1145/3125501

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Conference

ESWEEK'17

ESWEEK'17: THIRTEENTH EMBEDDED SYSTEM WEEK

October 15 - 20, 2017

Seoul, Republic of Korea

Acceptance Rates

Overall Acceptance Rate 52 of 230 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

18
Total Citations
View Citations
388
Total Downloads

Downloads (Last 12 months)57
Downloads (Last 6 weeks)9

Reflects downloads up to 03 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Hu JXiang X(2024)Research on Storage Structure Design and Performance Optimization Strategy of Embedded System for Low-Capacity Storage UnitsApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-27889:1Online publication date: 4-Oct-2024
https://doi.org/10.2478/amns-2024-2788
Liu XLai YLiu JLuo S(2023)TZEAMM: An Efficient and Secure Active Measurement Method Based on TrustZoneSecurity and Communication Networks10.1155/2023/69219602023(1-18)Online publication date: 31-Jan-2023
https://doi.org/10.1155/2023/6921960
Kumar SChauhan YAmrouch H(2023)Invited Paper: Ultra-Efficient Edge AI Using FeFET-based Monolithic 3D Integration2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323845(1-6)Online publication date: 28-Oct-2023
https://doi.org/10.1109/ICCAD57390.2023.10323845
Narsimha BRaghavendran CRajyalakshmi PReddy GBhargavi MNaresh P(2022)Cyber Defense in the Age of Artificial Intelligence and Machine Learning for Financial Fraud Detection ApplicationInternational Journal of Electrical and Electronics Research10.37391/ijeer.10020610:2(87-92)Online publication date: 30-Jun-2022
https://doi.org/10.37391/ijeer.100206
Patel NKrishnamurthy PAmrouch HHenkel JShamouilian MKarri RKhorrami F(2022)Towards a New Thermal Monitoring Based Framework for Embedded CPS Device SecurityIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2020.297395919:1(524-536)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TDSC.2020.2973959
Surabhi VKrishnamurthy PAmrouch HHenkel JKarri RKhorrami F(2022)Trojan Detection in Embedded Systems With FinFET TechnologyIEEE Transactions on Computers10.1109/TC.2022.314621771:11(3061-3071)Online publication date: 1-Nov-2022
https://doi.org/10.1109/TC.2022.3146217
Chang NZhu DLin LSelvakumaran DWen JPan SXia WChen HChow CChen G(2021)ML-augmented Methodology for Fast Thermal Side-channel Emission AnalysisProceedings of the 26th Asia and South Pacific Design Automation Conference10.1145/3394885.3431641(463-468)Online publication date: 18-Jan-2021
https://dl.acm.org/doi/10.1145/3394885.3431641
Meng XHassan RDinakrrao SBasu K(2021)Can Overclocking Detect Hardware Trojans?2021 IEEE International Symposium on Circuits and Systems (ISCAS)10.1109/ISCAS51556.2021.9401609(1-5)Online publication date: May-2021
https://doi.org/10.1109/ISCAS51556.2021.9401609
Lienig JRothe SThiele MRangarajan NAshraf MNabeel MAmrouch HSinanoglu OKnechtel J(2021)Toward Security Closure in the Face of Reliability Effects ICCAD Special Session Paper2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)10.1109/ICCAD51958.2021.9643447(1-9)Online publication date: 1-Nov-2021
https://doi.org/10.1109/ICCAD51958.2021.9643447
Krishnamurthy PKarri RKhorrami F(2020)Anomaly Detection in Real-Time Multi-Threaded Processes Using Hardware Performance CountersIEEE Transactions on Information Forensics and Security10.1109/TIFS.2019.292357715(666-680)Online publication date: 2020
https://doi.org/10.1109/TIFS.2019.2923577
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents