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Omais Shafi Pandith

dblp:375/6560 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-0054-5161ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 100%
Network and information security
1 paper
Hardware security and side channels · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware security and side channels › trusted execution environments
SGX enclave
0.812024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024
Hardware security and side channels
trusted execution environments
0.812024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024
Memory systems › memory management › virtual memory
page fault handling
0.812024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024
Memory systems › memory management
virtual memory
0.812024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024
Memory systems › cache management
cache locking
0.212024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024
Memory systems
cache management
0.212024
SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves · IEEE Trans. Dependable Secur. Comput. 2024

Methods — techniques the papers use, named apart from their topics

page-level prefetching · 1.5LLC locking · 1.5
YearPublicationVenuePosition
2024 SGXFault: An Efficient Page Fault Handling Mechanism for SGX Enclaves
abstract
Trusted Execution Environments (TEEs) such as Intel SGX are becoming a commonplace for the security in server processors. Intel SGX provides the guarantees of confidentiality, integrity and replay attack protection for a specific region of memory. However, the downside of it is the performance bottleneck due to the context switching overhead and the page faults for the larger memory footprint applications. In this paper, we propose a schemeSGXFaultwhich ensures for major part of the execution, the pages are available in the secure memory when needed. We do this decision at the last level cache (LLC) by locking the blocks of the frequent pages to the LLC using Cache Lockdown mechanism. In addition to this, we do a page-level prediction based prefetching when there is a miss in the LLC. Using the combination of both the approaches, we are able to outperform baseline Intel SGX and recent competing scheme by around 18.6% and 17.8% respectively.
Omais Shafi Pandith
IEEE Trans. Dependable Secur. Comput.1