VASA: Vector AES Instructions for Security Applications

Münch, Jean-Pierre; Schneider, Thomas; Yalame, Hossein

doi:10.1145/3485832.3485897

Cited by 8 publications

(3 citation statements)

References 69 publications

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“…To give a rough runtime estimation, the PRG can be instantiated using two calls to fixed-key AES. According to [MSY21], using the AES-NI instructions of modern CPUs, one byte of AES-128 can be computed in ∼ 1.3 cycles. Hence, computing 3.6 • 10 5 blocks of 16 bytes requires about 7.5 • 10 6 cycles.…”

Section: New Cost Estimations For Pcfs and Challengesmentioning

confidence: 99%

Pseudorandom Correlation Functions from Variable-Density LPN, Revisited

Couteau

Ducros

2023

Lecture Notes in Computer Science

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Pseudorandom correlation functions (PCF), introduced in the work of (Boyle et al., FOCS 2020), allow two parties to locally generate, from short correlated keys, a near-unbounded amount of pseudorandom samples from a target correlation. PCF is an extremely appealing primitive in secure computation, where they allow to confine all preprocessing phases of all future computations two parties could want to execute to a single short interaction with low communication and computation, followed solely by offline computations. Beyond introducing the notion, Boyle et al. gave a candidate construction, using a new variable-density variant of the learning parity with noise (LPN) assumption. Then, to provide support for this new assumption, the authors showed that it provably resists a large class of linear attacks, which captures in particular all known attacks on LPN.In this work, we revisit the analysis of the VDLPN assumption. We make two key contributions:

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Section: New Cost Estimations For Pcfs and Challengesmentioning

confidence: 99%

Pseudorandom Correlation Functions from Variable-Density LPN, Revisited

Couteau

Ducros

2023

Lecture Notes in Computer Science

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“…For SS-based MPC, a similar segmentation that was initiated by [8], [50], [82] lets the parties generate correlated randomness in the setup phase which later speeds up the online phase regarding communication, interactive rounds and hence also run time. These works started a rich line of work on increasingly efficient MPC protocols in the preprocessing model [23], [33], [53], [54], [62], [68], [70], [75], [76]. Some works, most notably LUT-based protocols [33], even have a function-dependent setup phase, i.e., they assume the parties already know the function during setup [11], [58], [68], [86].…”

Section: Related Workmentioning

confidence: 99%

FLUTE: Fast and Secure Lookup Table Evaluations

Brüggemann

Hundt

Schneider

et al. 2023

2023 IEEE Symposium on Security and Privacy (SP)

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The concept of using Lookup Tables (LUTs) instead of Boolean circuits is well-known and been widely applied in a variety of applications, including FPGAs, image processing, and database management systems. In cryptography, using such LUTs instead of conventional gates like AND and XOR results in more compact circuits and has been shown to substantially improve online performance when evaluated with secure multi-party computation. Several recent works on secure floating-point computations and privacy-preserving machine learning inference rely heavily on existing LUT techniques. However, they suffer from either large overhead in the setup phase or subpar online performance.We propose FLUTE, a novel protocol for secure LUT evaluation with good setup and online performance. In a two-party setting, we show that FLUTE matches or even outperforms the online performance of all prior approaches, while being competitive in terms of overall performance with the best prior LUT protocols. In addition, we provide an open-source implementation of FLUTE written in the Rust programming language, and implementations of the Boolean secure two-party computation protocols of ABY2.0 and silent OT. We find that FLUTE outperforms the state of the art by two orders of magnitude in the online phase while retaining similar overall communication.

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“…The Advanced Encryption Standard (AES) [17], LabVIEW [18], myRIO board [19], SystemLink Cloud technology [20], Wi-Fi communication, and additional multidimensional approaches are integrated into the proposed approach to ensure the security of smart solar energy system monitoring. One of the most popular and extensively used symmetric block encryption algorithms worldwide is the Advanced Encryption Standard (AES) algorithm [21]. This method has a unique structure when it comes to encrypting and decrypting sensitive data.…”

mentioning

confidence: 99%

Enhancing Security for IoT-Based Smart Renewable Energy Remote Monitoring Systems

Rekeraho,

Cotfas,

Cotfas

et al. 2024

Electronics

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Renewable energy is an essential solution for addressing climate change, providing sustainable options that are vital for a more environmentally friendly future. Integrating information technology (IT) into renewable energy systems has driven remarkable progress, enhanced efficiency, and enabled remote monitoring. Nevertheless, integrating IT into these systems dramatically increases their vulnerability to cyber threats and potential attacks. This study thoroughly investigates the enhancement of security measures in an IoT-based solar energy remote monitoring system. The research integrates advanced technologies, including Advanced Encryption Standard (AES), myRIO board, and NI’s SystemLink Cloud platform, to enhance data security in smart solar energy monitoring systems. Emphasizing AES encryption ensures secure information exchange between the myRIO board and the computer. NI’s SystemLink Cloud offers a user-friendly interface for real-time monitoring of critical solar system parameters, supported by robust security measures such as HTTPS encryption and access control. This study sets higher data protection standards in smart energy systems by promoting advanced encryption and secure cloud infrastructures. The approach involves seamlessly integrating renewable energy sources with IT innovations while prioritizing proactive measures to strengthen solar energy system security.

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VASA: Vector AES Instructions for Security Applications

Cited by 8 publications

References 69 publications

Pseudorandom Correlation Functions from Variable-Density LPN, Revisited

Pseudorandom Correlation Functions from Variable-Density LPN, Revisited

FLUTE: Fast and Secure Lookup Table Evaluations

Enhancing Security for IoT-Based Smart Renewable Energy Remote Monitoring Systems

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