Publications associées à GnuTLS

Melting SNOW-V: improved lightweight architectures

Subhadeep Banik, Muhammed Fatih Balli, Andrea Felice Caforio

SNOW-V is a stream cipher proposed by Ekdahl et al. at IACR ToSC 2019(3) with an objective to be deployed as the encryption primitive in 5G systems. The stream cipher offers 256-bit security and is ready for deployment in the post-quantum era, in which as ...

2022

Secured Routines: Language-based Construction of Trusted Execution Environments

James Richard Larus, Edouard Bugnion, Adrien Ghosn

Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...

USENIX ASSOC2019

SMoTherSpectre: Exploiting Speculative Execution through Port Contention

Babak Falsafi, Mathias Josef Payer, Atri Bhattacharyya

Spectre, Meltdown, and related attacks have demonstrated that kernels, hypervisors, trusted execution environments, and browsers are prone to information disclosure through micro-architectural weaknesses. However, it remains unclear as to what extent other ...

ACM2019

Some Proofs of Conditional and Joint Biases in RC4 Stream Cipher

Subhadeep Banik

In this paper we present proofs for the new biases in RC4 which were experimentally found and listed out (without theoretical justifi- cations and proofs) in a paper by Vanhoef et al. in USENIX 2015. Their purpose was to exploit the vulnerabilities of RC4 ...

2018

Theoretical Understanding of Some Conditional and Joint Biases in RC4 Stream Cipher

Subhadeep Banik

In this paper we present proofs for the new biases in RC4 which were experimentally found and listed out (without theoretical justifications and proofs) in a paper by Vanhoef et al. in USENIX 2015. Their purpose was to exploit the vulnerabilities of RC4 in ...

IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG2018

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Dimitri Nestor Alice Van De Ville, Thierry Blu, Zafer Dogan

Finite rate of innovation (FRI) is a recent framework for sampling and reconstruction of a large class of parametric signals that are characterized by finite number of innovations (parameters) per unit interval. In the absence of noise, exact recovery of F ...

Institute of Electrical and Electronics Engineers2015