The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
A comparison study of intel SGX and AMD memory encryption technology
Open accessAbstract
Hardware-assisted trusted execution environments are secure isolation technologies that have been engineered to serve as efficient defense mechanisms to provide a security boundary at the system level. Hardware vendors have introduced a variety of hardware-assisted trusted execution environments including ARM TrustZone, Intel Management Engine, and AMD Platform Security Processor. Recently, Intel Software Guard eXtensions (SGX) and AMD Memory Encryption Technology have been introduced. To the best of our knowledge, this paper presents the first comparison study between Intel SGX and AMD Memory Encryption Technology in terms of functionality, use scenarios, security, and performance implications. We summarize the pros and cons of these two approaches in comparison to each other.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Intel SGX provides remote attestation policy that evaluates the enclave identity, integrity of the code inside of it, and guarantees the authenticity of the Intel processor.”
From Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study (2025) · cites this paper as [53]
The cited source says what the claim attributes to it.
In the citing paper
“Remote attestation serves as a verification protocol for the service provider to evaluate the health of enclave(s) created at a remote location [27,53,54].”
From Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study (2025) · cites this paper as [53]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
New directions in cryptography
Diffie, W., & Hellman, M. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055638 · Cited by 14,713
Applied cryptography: Protocols, algorithms, and source code in C
(1994) · Computer Law & Security Report · doi:10.1016/0267-3649(94)90017-5 · Cited by 3,411
Ristenpart, T., Tromer, E., Shacham, H., & Savage, S. (2009) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1653662.1653687 · Cited by 2,055
(2016) · IACR Cryptology ePrint Archive · Cited by 1,288
kvm : the Linux Virtual Machine Monitor
Kivity, A. (2007) · Cited by 1,267
Innovative instructions and software model for isolated execution
Mckeen, F., Alexandrovich, I., Berenzon, A., Rozas, C. V., Shafi, H., Shanbhogue, V., & Savagaonkar, U. R. (2013) · Hardware and Architectural Support for Security and Privacy · doi:10.1145/2487726.2488368 · Cited by 1,103
Halderman, J. A., Schoen, S. D., Heninger, N., Clarkson, W., Paúl, W., Calandrino, J. A., Feldman, A. J., Appelbaum, J., & Felten, E. W. (2009) · Communications of the ACM · doi:10.1145/1506409.1506429 · Cited by 980
Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems
Xu, Y., Cui, W., & Peinado, M. (2015) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2015.45 · Cited by 725
VC3: Trustworthy Data Analytics in the Cloud Using SGX
Schuster, F., Costa, M., Cédric Fournet, A., Gkantsidis, C., Peinado, M., Mainar-Ruiz, G., & Russinovich, M. (2015) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2015.10 · Cited by 594
SCONE: secure Linux containers with Intel SGX
(2016) · Operating Systems Design and Implementation · doi:10.5555/3026877.3026930 · Cited by 582
Research works printed but not linked: 9
- Chia che Tsai , Donald E. Porter , and Mona Vij . 2017 . Graphene-SGX: A Practical Library OS for Unmodified Applications on SGX. In 2017 USENIX Annual Technical Conference (USENIX ATC 17) . USENIX Association, Santa Clara, CA, 645--658. https://www.usenix.org/conference/atc17/technical-sessions/presentation/tsai Chia che Tsai, Donald E. Porter, and Mona Vij. 2017. Graphene-SGX: A Practical Library OS for Unmodified Applications on SGX. In 2017 USENIX Annual Technical Conference (USENIX ATC 17). USENIX Association, Santa Clara, CA, 645--658. https://www.usenix.org/conference/atc17/technical-sessions/presentation/tsai
- Black Duck . 2018. Black Duck Open Hub. Black Duck Software , Inc . https://www.openhub.net/p?ref=homepage&query=xen. Black Duck. 2018. Black Duck Open Hub. Black Duck Software, Inc. https://www.openhub.net/p?ref=homepage&query=xen.
- Matthew Hoekstra , Reshma Lal , Pradeep Pappachan , Vinay Phegade , and Juan Del Cuvillo . 2013. Using innovative instructions to create trustworthy software solutions. HASP@ ISCA 11 ( 2013 ). Matthew Hoekstra, Reshma Lal, Pradeep Pappachan, Vinay Phegade, and Juan Del Cuvillo. 2013. Using innovative instructions to create trustworthy software solutions. HASP@ ISCA 11 (2013).
- Simon Johnson , Vincent Scarlata , Carlos Rozas , Ernie Brickell , and Frank Mckeen . 2016. Intel software guard extensions: EPID provisioning and attestation services. ser. Intel Corporation ( 2016 ). Simon Johnson, Vincent Scarlata, Carlos Rozas, Ernie Brickell, and Frank Mckeen. 2016. Intel software guard extensions: EPID provisioning and attestation services. ser. Intel Corporation (2016).
- D Kaplan . 2017. Protecting vm register state with sev-es. White paper , Feb ( 2017 ). D Kaplan. 2017. Protecting vm register state with sev-es. White paper, Feb (2017).
- David Kaplan , Jeremy Powell , and Tom Woller . 2016. AMD memory encryption. White paper , Apr ( 2016 ). David Kaplan, Jeremy Powell, and Tom Woller. 2016. AMD memory encryption. White paper, Apr (2016).
- Paul Kocher , Daniel Genkin , Daniel Gruss , Werner Haas , Mike Hamburg , Moritz Lipp , Stefan Mangard , Thomas Prescher , Michael Schwarz , and Yuval Yarom . 2018 . Spectre Attacks: Exploiting Speculative Execution. ArXiv e-prints (Jan. 2018). arXiv:1801.01203 Paul Kocher, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, and Yuval Yarom. 2018. Spectre Attacks: Exploiting Speculative Execution. ArXiv e-prints (Jan. 2018). arXiv:1801.01203 · arXiv
- Kostya Kortchinsky . 2009 . Cloudburst: A VMware guest to host escape story. Black Hat USA (2009), 19. Kostya Kortchinsky. 2009. Cloudburst: A VMware guest to host escape story. Black Hat USA (2009), 19.
- Rafal Wojtczuk , Joanna Rutkowska , and Alexander Tereshkin . 2008. Xen Owning trilogy. Invisible Things Lab ( 2008 ). Rafal Wojtczuk, Joanna Rutkowska, and Alexander Tereshkin. 2008. Xen Owning trilogy. Invisible Things Lab (2008).
Cited by
Sorted by citations
On cloud security requirements, threats, vulnerabilities and countermeasures: A survey
Kumar, R., & Goyal, R. (2019) · Computer Science Review · doi:10.1016/j.cosrev.2019.05.002 · Cited by 264
The Security of Autonomous Driving: Threats, Defenses, and Future Directions
Ren, K., Wang, Q., Wang, C., Qin, Z., & Lin, X. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2948775 · Cited by 223
Trusted Execution Environments: Properties, Applications, and Challenges
Jauernig, P., Sadeghi, A., & Stapf, E. (2020) · IEEE Security & Privacy · doi:10.1109/msec.2019.2947124 · Cited by 157
A survey of Intel SGX and its applications
Zheng, W., Wu, Y., Wu, X., Feng, C., Sui, Y., Luo, X., & Zhou, Y. (2020) · Frontiers of Computer Science · doi:10.1007/s11704-019-9096-y · Cited by 82
A comprehensive survey of hardware-assisted security: From the edge to the cloud
Coppolino, L., D’Antonio, S., Mazzeo, G., & Romano, L. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100055 · Cited by 61
Blockchain and NFTs for Trusted Ownership, Trading, and Access of AI Models
Battah, A. A., Madine, M. M., Yaqoob, I., Salah, K., Hasan, H. R., & Jayaraman, R. (2022) · IEEE Access · doi:10.1109/access.2022.3215660 · Cited by 56
Benchmarking the Second Generation of Intel SGX Hardware
El-Hindi, M., Ziegler, T., Heinrich, M., Lutsch, A., Zhao, Z., & Binnig, C. (2022) · Data Management on New Hardware · doi:10.1145/3533737.3535098 · Cited by 49
Wilke, L., Wichelmann, J., Morbitzer, M., & Eisenbarth, T. (2020) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp40000.2020.00080 · Cited by 49
A blockchain-orchestrated Federated Learning architecture for healthcare consortiaPreprint
Passerat‐Palmbach, J., Farnan, T., Miller, R. C., Gross, M. S., Flannery, H. L., & Gleim, B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.12603 · Cited by 48
Trusted Execution Environments: Applications and Organizational Challenges
Geppert, T., Deml, S., Sturzenegger, D., & Ebert, N. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.930741 · Cited by 43
State of the Art: Secure Mobile Payment
Liu, W., Wang, X., & Peng, W. (2020) · IEEE Access · doi:10.1109/access.2019.2963480 · Cited by 43
Survey of research on confidential computing
Feng, D., Qin, Y., Feng, W., Li, W., Shang, K., & Ma, H. (2024) · IET Communications · doi:10.1049/cmu2.12759 · Cited by 51
Confidential VMs Explained: An Empirical Analysis of AMD SEV-SNP and Intel TDX
Misono, M., Stavrakakis, D., Santos, N., & Bhatotia, P. (2024) · Proceedings of the ACM on Measurement and Analysis of Computing Systems · doi:10.1145/3700418 · Cited by 39
Quoc, D. L., Gregor, F., Arnautov, S., Kunkel, R., Bhatotia, P., & Fetzer, C. W. (2020) · International Middleware Conference · doi:10.1145/3423211.3425687 · Cited by 45
A universal taxonomy and survey of forensic memory acquisition techniques
Latzo, T., Palutke, R., & Freiling, F. (2019) · Digital Investigation · doi:10.1016/j.diin.2019.01.001 · Cited by 37
AC4AV: A Flexible and Dynamic Access Control Framework for Connected and Autonomous Vehicles
Zhang, Q., Zhong, H., Cui, J., Ren, L., & Shi, W. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3016961 · Cited by 37
Self-citationHardware-based solutions for trusted cloud computing
Demigha, O., & Larguet, R. (2021) · Computers & Security · doi:10.1016/j.cose.2020.102117 · Cited by 37
SoK: Content Moderation for End-to-End Encryption
Scheffler, S., & Mayer, J. R. (2023) · Proceedings on Privacy Enhancing Technologies · doi:10.56553/popets-2023-0060 · Cited by 43
Performance Analysis of Scientific Computing Workloads on General Purpose TEEs
Akram, A., Giannakou, A., Akella, V., Lowe-Power, J., & Peisert, S. (2021) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps49936.2021.00115 · Cited by 33
Exploiting Unprotected {I/O} Operations in {AMD’s} Secure Encrypted Virtualization
Li, M., Zhang, Y., Lin, Z., & Solihin, Y. (2019) · USENIX Security Symposium · Cited by 33
EPMDroid: Efficient and privacy-preserving malware detection based on SGX through data fusion
Wei, W., Wang, J., Yan, Z., & Ding, W. (2022) · Information Fusion · doi:10.1016/j.inffus.2021.12.006 · Cited by 29
SmartNIC Security Isolation in the Cloud with S-NIC
Zhou, Y., Wilkening, M., Mickens, J. W., & Yu, M. (2024) · European Conference on Computer Systems · doi:10.1145/3627703.3650071 · Cited by 28
SoK: Understanding Design Choices and Pitfalls of Trusted Execution Environments
Li, M., Yang, Y., Chen, G., Yan, M., & Zhang, Y. (2024) · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · doi:10.1145/3634737.3644993 · Cited by 33
Coppolino, L., D’Antonio, S., Mazzeo, G., & Romano, L. (2025) · Computers & Security · doi:10.1016/j.cose.2025.104457 · Cited by 24
Accelerating Encrypted Deduplication via SGX.
Ren, Y., Li, J., Yang, Z., Lee, P. P. C., & Zhang, X. (2021) · USENIX Annual Technical Conference · Cited by 24
Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study
Zobaed, S., & Amini Salehi, M. (2025) · Software Practice and Experience · doi:10.1002/spe.3398 · Cited by 21
“Remote Attestation serves as a verification protocol for the service provider to evaluate the health of enclave(s) created at a remote location [48, 49, 27].”
BlackMirror: Preventing Wallhacks in 3D Online FPS Games
Park, S. H., Ahmad, A. M., & Lee, B. (2020) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3372297.3417890 · Cited by 18
A Geography-Based P2P Overlay Network for Fast and Robust Blockchain Systems
Qiu, H., Ji, T., Zhao, S., Chen, X., Qi, J., Cui, H., & Wang, S. (2022) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2022.3189667 · Cited by 18
GDPR-Aware Revocable P2P File-Sharing System Over Consortium Blockchain
Yeh, L., Shen, C.-Y., Huang, W.-C., Hsu, W.-H., & Wu, H.-C. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2021.3139319 · Cited by 17
A Survey of Trusted Computing Solutions Using FPGAs
Rosero-Montalvo, P. D., István, Z., & Hernández, W. (2023) · IEEE Access · doi:10.1109/access.2023.3261802 · Cited by 15
Port or Shim? Stress Testing Application Performance on Intel SGX
Hasan, A., Riley, R. D., & Ponomarev, D. (2020) · IEEE International Symposium on Workload Characterization · doi:10.1109/iiswc50251.2020.00021 · Cited by 15
Research on Data Routing Strategy of Deduplication in Cloud Environment
He, Q., Zhang, F., Bian, G., Zhang, W., Duan, D., Li, Z., & Chen, C. (2021) · IEEE Access · doi:10.1109/access.2021.3139757 · Cited by 15
Self-citationTEE-aided Write Protection Against Privileged Data Tampering
Zhao, L., & Mannan, M. (2019) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2019.23197 · Cited by 15
Guo, Z., Pan, H., He, A., Dai, Y., Huang, X., Si, X., Yuen, C., & Zhang, Y. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3587023 · Cited by 15
Multi-cloud applications: data and code fragmentation for improved security
Lovrenčić, R., & Škvorc, D. (2023) · International Journal of Information Security · doi:10.1007/s10207-022-00658-8 · Cited by 13
Krahn, R., Dragoti, D., Gregor, F., Quoc, D. L., Schiavoni, V., Felber, P. A., Souza, C., Brito, A., & Fetzer, C. W. (2020) · International Middleware Conference · doi:10.1145/3423211.3425677 · Cited by 12
Live Migration of Operating System Containers in Encrypted Virtual Machines
Pecholt, J., Huber, M., & Wessel, S. (2021) · Cloud Computing Security Workshop · doi:10.1145/3474123.3486761 · Cited by 12
Performance Overheads of Confidential Virtual Machines
Yan, M., & Gopalan, K. (2023) · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems · doi:10.1109/mascots59514.2023.10387607 · Cited by 11
SERVAS! Secure Enclaves via RISC-V Authenticryption Shield
Steinegger, S., Schrammel, D., Weiser, S., Nasahl, P., & Mangard, S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-88428-4_19 · Cited by 11
Karanjai, R., Xu, L., Chen, L., Zhang, F., Gao, Z., & Shi, W. L. (2021) · Hardware and Architectural Support for Security and Privacy · doi:10.1145/3505253.3505259 · Cited by 15
Self-citationA Survey of Hardware Improvements to Secure Program Execution
Zhao, L., He, S., Xu, S., Huang, W., Cui, R., Bettadpur, P., & Lie, D. (2024) · ACM Computing Surveys · doi:10.1145/3672392 · Cited by 10
SoK: Confidential Quartet - Comparison of Platforms for Virtualization-Based Confidential Computing
Guanciale, R., Paladi, N., & Vahidi, A. (2022) · International Symposium on Secure and Private Execution Environment Design (SEED) · doi:10.1109/seed55351.2022.00017 · Cited by 10
Flexible Remote Attestation of Pre-SNP SEV VMs Using SGX Enclaves
Antonino, P., Đerek, A., & Wołoszyn, W. A. (2023) · IEEE Access · doi:10.1109/access.2023.3308850 · Cited by 10
The Price of Privacy: A Performance Study of Confidential Virtual Machines for Database Systems
Qiu, L., Taft, R., Shraer, A., & George Kollios, D. (2024) · International Workshop on Data Management on New Hardware (DaMoN) · doi:10.1145/3662010.3663440 · Cited by 9
Provably Secure Contact Tracing with Conditional Private Set Intersection
Takeshita, J., Karl, R., Mohammed, A., Striegel, A., & Jung, T. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-90019-9_18 · Cited by 9
AccGuard: Secure and Trusted Computation on Remote FPGA Accelerators
Ren, W., Pan, J., & Chen, D. (2021) · IEEE International Symposium on Smart Electronic Systems (iSES) · doi:10.1109/ises52644.2021.00093 · Cited by 9
SoK: A Comparison Study of Arm TrustZone and CCA
Huang, H., Zhang, F., Yan, S., Wei, T., & He, Z. (2024) · International Symposium on Secure and Private Execution Environment Design (SEED) · doi:10.1109/seed61283.2024.00021 · Cited by 9
Self-citationSoteria: Towards Resilient Integrity-Protected and Encrypted Non-Volatile Memories
Zubair, K. A., Gurumurthi, S., Sridharan, V., & Awad, A. (2021) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1145/3466752.3480066 · Cited by 8
SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning with Errors
Takeshita, J., Karl, R., Gong, T., & Jung, T. (2023) · Journal of Cryptology · doi:10.1007/s00145-023-09450-w · Cited by 8
Mofrad, S., Ahmed, I., Lu, S., Yang, P., Cui, H., & Zhang, F. (2019) · Annual Computer Security Applications Conference · doi:10.1145/3359789.3359845 · Cited by 7
Self-citationShadab, R. M., Zou, Y., Gandham, S., Awad, A., & Lin, M. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3324935 · Cited by 7
RansomClave: Ransomware Key Management using SGX
Bhudia, A., O’Keeffe, D., Sgandurra, D., & Hurley-Smith, D. (2021) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3465481.3470116 · Cited by 8
SEED: Confidential Big Data Workflow Scheduling with Intel SGX Under Deadline Constraints
Ahmed, I., Mofrad, S., Lu, S., Bai, C., Zhang, F., & Che, D. (2020) · IEEE International Conference on Services Computing · doi:10.1109/scc49832.2020.00023 · Cited by 6
Self-citationCVTEE: A Compatible Verified TEE Architecture With Enhanced Security
Miao, X., Chang, R., Zhao, J., Zhao, Y., Cao, S., Wei, T., Jiang, L., & Ren, K. (2021) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3133576 · Cited by 6
Securing Big Data Scientific Workflows via Trusted Heterogeneous Environments
Mofrad, S., Ahmed, I., Zhang, F., Lu, S., Yang, P., & Cui, H. (2021) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3123640 · Cited by 6
Self-citationResearch on Routing Strategy in Cluster Deduplication System
He, Q., Bian, G., Zhang, W., Zhang, F., Duan, S., & Wu, F. (2021) · IEEE Access · doi:10.1109/access.2021.3116270 · Cited by 6
Self-citationTEEMon: A continuous performance monitoring framework for TEEsPreprint
Krahn, R., Dragoti, D., Gregor, F., Quoc, D. L., Schiavoni, V., Felber, P. A., Souza, C., Brito, A., & Fetzer, C. W. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.06554 · Cited by 6
Secure Multiparty Computation Using Secure Virtual Machines
Miladinović, D., Milaković, A., Vukasović, M., Stanisavljević, Ž., & Vuletic, P. V. (2024) · Electronics · doi:10.3390/electronics13050991 · Cited by 5
Nowhere to Leak: A Multi-client Forward and Backward Private Symmetric Searchable Encryption Scheme
Bakas, A., & Michalas, A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-81242-3_5 · Cited by 5
TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation
Takeshita, J., Carmichael, Z., Karl, R., & Jung, T. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-25538-0_18 · Cited by 5
A comprehensive performance evaluation of TEEs for confidential DNA alignment
Brescia, L., Colonnelli, I., Birke, R., Schiavoni, V., Felber, P. A., & Aldinucci, M. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.108031 · Cited by 3
A Survey on Security Concerns and Their Actual Solutions for using FPGAs in Cloud Computing
Rosero-Montalvo, P. D. (2021) · IEEE Latin American Conference on Computational Intelligence (LA-CCI) · doi:10.1109/la-cci48322.2021.9769794 · Cited by 4
Confidential VMs Explained: An Empirical Analysis of AMD SEV-SNP and Intel TDX
Misono, M., Stavrakakis, D., Santos, N., & Bhatotia, P. (2025) · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) · doi:10.1145/3726854.3727280 · Cited by 4
Miwa, S., & Matsuo, S. (2023) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3624062.3624267 · Cited by 4
Novković, B., Bozic, A., Golub, M., & Groš, S. (2021) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro52101.2021.9597198 · Cited by 4
Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments
Akram, A., Giannakou, A., Akella, V., Lowe-Power, J., & Peisert, S. (2020) · Lawrence Berkeley National Laboratory · doi:10.2172/1768054 · Cited by 4
An Analysis of AWS Nitro Enclaves for Database Workloads
Lutsch, A., Franck, C., El-Hindi, M., István, Z., & Binnig, C. (2025) · International Workshop on Data Management on New Hardware (DaMoN) · doi:10.1145/3736227.3736234 · Cited by 3
SLAP: Simple Lattice-Based Private Stream Aggregation Protocol.Preprint
Takeshita, J., Karl, R., Gong, T., & Jung, T. (2020) · IACR Cryptology ePrint Archive · Cited by 3
Confidential VMs Explained: An Empirical Analysis of AMD SEV-SNP and Intel TDX
Misono, M., Stavrakakis, D., Santos, N., & Bhatotia, P. (2025) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/3744970.3727280 · Cited by 2
Karl, R., Takeshita, J., & Jung, T. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-90019-9_16 · Cited by 2
D2-PSD: Dynamic Differentially-Private Spatial Decomposition in Collaboration With Edge Server
Sasada, T., Taenaka, Y., & Kadobayashi, Y. (2024) · IEEE Access · doi:10.1109/access.2024.3485610 · Cited by 2
SVSM-KMS: Safeguarding Keys for Cloud Services with Encrypted Virtualization
Mei, B., Wang, W., & Lin, D. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-2417-1_12 · Cited by 2
Privacy-Enabled Recommendations for Software Vulnerabilities
Karlsson, L., & Paladi, N. (2019) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00111 · Cited by 2
A Novel Memory Management for RISC-V Enclaves
Li, H., Huang, W., Ren, M., Lu, H., Ning, Z., Cui, H., & Zhang, F. (2021) · Hardware and Architectural Support for Security and Privacy · doi:10.1145/3505253.3505257 · Cited by 2
Self-citationA Security Enhancement Design of Video Surveillance System Based on TPM
Zhao, W., Chen, X., Zhang, J., & Fu, X. (2022) · IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) · doi:10.1109/tocs56154.2022.10015975 · Cited by 2
Towards Shielding 5G Control Plane Functions
Maitra, S., Atalay, T., Stavrou, A., & Wang, H. (2024) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn58291.2024.00039 · Cited by 2
On-Chip SRAM Disclosure Attack Prevention Technique for SoC
Ghosh, P., Gholap, Y., & Singh, V. (2023) · IEEE International On-Line Testing Symposium (IOLTS) · doi:10.1109/iolts59296.2023.10224860 · Cited by 1
Keßler, R., Nieroda, L., Volpert, S., Gräf, M., Achter, V., Hunhold, L., & Wesner, S. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767558 · Cited by 1
Lee, S. K., Merlec, M. M., Sinai, N. K., Hong, S.-P., & In, H. P. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3662381 · Cited by 1
Breaking Isolation: Last-level Cache Side-Channel Attacks on AWS Nitro Enclaves
Rammouz, M., & Quoc, D. L. (2026) · Workshop on System Software for Trusted Execution (SysTEX) · doi:10.1145/3805690.3805729 · Cited by 1
MemShield: GPU-Assisted Software Memory Encryption
Santucci, P., Ingrassia, E., Picierro, G., & Cesati, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57878-7_16 · Cited by 1
DPSD: Dynamic Private Spatial Decomposition Based on Spatial and Temporal Correlations
Sasada, T., Taenaka, Y., & Kadobayashi, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-28124-2_18 · Cited by 1
Park, J., & Kang, B. B. (2023) · International Symposium on Research in Attacks, Intrusions and Defenses (RAID) · doi:10.1145/3607199.3607210 · Cited by 1
Karl, R., Koirala, N., Januszewicz, T., Takeshita, J., & Jung, T. (2025) · SN Computer Science · doi:10.1007/s42979-025-03804-w · Cited by 1
Security Monitoring and Management in 5 G
de, E. M. (2019) · Wiley 5G Ref · doi:10.1002/9781119471509.w5gref162
Delgado, B. G. R., Vibhute, T., & Karavanic, K. L. (2020) · Hardware and Architectural Support for Security and Privacy · doi:10.1145/3458903.3458907
Quantitative and Qualitative Investigations into Trusted Execution Environments
Karl, R. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-90022-9_19
Computing Framework for Autonomous Driving
Shi, W., & Liu, L. (2021) · Springer eBooks · doi:10.1007/978-3-030-81564-6_2
Self-citationAlways-Sustainable Software Security
Lefebvre, V., & Santinelli, G. (2022) · IEEE International Conference on Network Softwarization (NetSoft) · doi:10.1109/netsoft54395.2022.9844077
Entropy service for secure real‐time mission critical communications
Zeydan, E., Türk, Y., & Tasbag, Y. Y. (2022) · Security and Privacy · doi:10.1002/spy2.258
Cache Locking and Encryption to Prevent Memory Snooping in Embedded Systems
DeJesus, J., & Chandy, J. A. (2022) · IEEE Conference on Dependable and Secure Computing (DSC) · doi:10.1109/dsc54232.2022.9888802
Confidential Queries for Encrypted Relational DBMS
Barenghi, A. (2022) · Springer eBooks · doi:10.1007/978-3-642-27739-9_1556-1
The Design and Optimization of Memory Ballooning in SEV Confidential Virtual Machines
Deng, C. H., Shen, Z., Li, D., Mi, Z., & Xia, Y. (2024) · IEEE International Conference on Joint Cloud Computing (JCC) · doi:10.1109/jcc62314.2024.00009
Cabin: Confining Untrusted Programs Within Confidential VMs
Mei, B., Xia, S., Wang, W., & Lin, D. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8798-2_9
Confidential Queries for Encrypted Relational DBMS
Barenghi, A. (2025) · Springer eBooks · doi:10.1007/978-3-030-71522-9_1556
MAXPOWR: Memory Attestation and Export in Process-based Trusted Execution Environments
Felde, H. M. Z., & Aprodu, A.-C. (2024) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom63139.2024.00030
On Enhancing the Security Against Memory Disclosure Attacks
Ghosh, P., Kumar, G., Lal, S., Ahlawat, S., & Singh, V. (2025) · IEEE International System-on-Chip Conference (SOCC) · doi:10.1109/socc66126.2025.11235448
Confidential Analytics with S cylla
Mangipudi, S., Chuprikov, P., Prendi, G., & Eugster, P. T. (2025) · ACM Symposium on Cloud Computing (SoCC) · doi:10.1145/3772052.3772209
Memory Isolation and Privilege Restriction-Based Virtual Machine Protection Method
Wu, X., Gong, X., Yang, M., Huang, G., Shi, Y., & Dong, P. (2026) · Electronics · doi:10.3390/electronics15051122
Metadata
- Authors
- Mofrad, S., Zhang, F., Lu, S., & Shi, W.
- Affiliations
- Wayne State University (US)
- University of Houston (US)
- Venue
- Proceedings of the 7th International Workshop on Hardware and Architectural Support for Security and Privacy
- Publisher
- ACM
- Published
- 2018-06-02
- Pages
- 1-8
- OpenAlex
- W2803185452
- Cited by
- 102
- References
- 36
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 13 · 2023: 12 · 2022: 12 · 2021: 21 · 2020: 15 · 2019: 10
- FWCI
- 4.69
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Hardware and Architectural Support for Security and Privacy (publishedVersion, public-domain)
- Funders
- National Science Foundation (CICI-1738929, IIS-1724227, DGE 1433817)
- North Atlantic Treaty Organization (NATO Science for Peace and Security Programme (G4919))
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Security and Verification in Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Physical Sciences › Computer Science › Information Systems › Digital Rights Management and Security
- Keywords
- Intel SGX, trusted execution environments, hardware security, ARM TrustZone, system security, performance comparison, security comparison
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review