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Karanvir Grewal

dblp:304/0187 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2024
—ORCID · none

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

Security and privacy · 2 · 2 since 2021Systems, architecture and hardware · 1 · 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.

Network and information security
1 paper
Systems and software security · 62% Cryptographic primitives and cryptanalysis · 38%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security
memory safety
0.512021
Cryptographic Capability Computing · MICRO 2021
Processor architecture and microarchitecture
capability-based architecture
0.512021
Cryptographic Capability Computing · MICRO 2021
Cryptographic primitives and cryptanalysis › symmetric cryptography
lightweight cryptography
0.112021
Cryptographic Capability Computing · MICRO 2021
Cryptographic primitives and cryptanalysis › block cipher
low-latency block cipher
0.112021
Cryptographic Capability Computing · MICRO 2021

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

pointer encryption · 1.0lightweight cryptography · 1.0address translation prediction · 1.0
YearPublicationVenuePosition
2024 Memory Tagging using Cryptographic Integrity on Commodity x86 CPUs
abstract
Memory tagging allows to establish memory safety for software developed in unsafe languages like C/C++. Since it is an effective mechanism with low architectural complexity, ISA extensions, like ARM MTE or SPARC ADI, already integrate memory tagging on the architectural level for commodity computer systems. However, despite being in high demand, memory tagging features are currently absent in modern x86 processors. This work presents IntegriTag, a hardware-enforced memory tagging solution for existing commodity x86 CPUs. We leverage the Intel® Total Memory Encryption-Multi-Key (Intel® TME-MK) hardware feature that was initially envisioned for virtual machine isolation to instead provide memory tagging capabilities on off-the-shelf x86 processors. Unlike ARM MTE and SPARC ADI, this does not require the integration of a separate tagged memory architecture, which would increase the overall system complexity. Instead, our solution allows us to implicitly enforce the desired security policies by incorporating them into the existing memory encryption integrity checks. In addition, our design addresses security issues that affect tagged memory architectures with small tag spaces. Intel® TME-MK allows for a greater number of key identifier bits, thus offering significantly stronger security compared to the 4-bit tags of ARM MTE and SPARC ADI. We implement a holistic open-source software framework based on Intel® TME-MK, supporting several software-controlled and hardware-enforced memory safety policies. Moreover, we evaluate our design's performance overhead and security properties, underlining the practicability and efficacy of our approach. Our design is binary-compatible with existing software and provides both temporal and spatial memory safety while imposing an overhead of 32–41%, which is significantly lower than the overheads of memory safety schemes in software on commodity hardware that provide comparable security properties.
David Schrammel, Martin Unterguggenberger, Lukas Lamster, Salmin Sultana, Karanvir Grewal, Michael LeMay, David Durham, Stefan Mangard
EuroS&P5
2023 MEMES: Memory Encryption-Based Memory Safety on Commodity Hardware
David Schrammel, Salmin Sultana, Karanvir Grewal, Michael LeMay, David Durham, Martin Unterguggenberger, Pascal Nasahl, Stefan Mangard
SECRYPT3
2021 Cryptographic Capability Computing
abstract
Capability architectures for memory safety have traditionally required expanding pointers and radically changing microarchitectural structures throughout processors, while only providing superficial hardening. We hence propose Cryptographic Capability Computing (C3) - the first memory safety mechanism that is stateless to avoid requiring extra metadata storage. C3 retains 64-bit pointer sizes providing legacy binary compatibility while imposing minimal touchpoints. Pointers are encrypted to unforgeably (within cryptographic bounds) reference each object. Data is encrypted even in caches and entangled with pointers for both spatial and temporal object-granular protection. Pointers become like unique keys for each allocation. C3 deploys a novel form of prediction for address translation that mitigates performance overheads even when addresses are partially encrypted. Use of a low-latency, low-area cipher from the NIST Lightweight Cryptography project avoids delaying loads by readying a data keystream by the time data is returned from the L1 cache. C3 is compatible with legacy binaries. Simulated performance overhead on SPEC CPU2006 is negligible with no memory overhead, which is a big leap forward compared to the overheads imposed by past memory safety approaches. C3 effectively replaces inefficient metadata with efficient cryptography.
Michael LeMay, Joydeep Rakshit, Sergej Deutsch, David Durham, Santosh Ghosh, Anant Nori, Jayesh Gaur, Andrew Weiler, Salmin Sultana, Karanvir Grewal, Sreenivas Subramoney
MICRO10