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Tzachy Reinman

dblp:38/5737 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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

Security and privacy · 3 · 1 first-authorComputer networks · 1

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
2 papers
Cryptographic protocols and secure computation · 40% Systems and software security · 40% Hardware security and side channels · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation › oblivious data structures
oblivious RAM
0.112010
Oblivious RAM Revisited · CRYPTO 2010
Systems and software security › operating system security
kernel security
0.112006
Analysis of the Linux Random Number Generator · S&P 2006
Systems and software security
operating system security
0.112006
Analysis of the Linux Random Number Generator · S&P 2006
Hardware security and side channels › hardware security primitives
random number generator
0.112006
Analysis of the Linux Random Number Generator · S&P 2006
Cryptographic protocols and secure computation › key exchange
forward secrecy
0.012006
Analysis of the Linux Random Number Generator · S&P 2006

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

static reverse engineering · 0.1entropy measurement · 0.1dynamic reverse engineering · 0.1
YearPublicationVenuePosition
2012 PPiTTA - Preserving Privacy in TV Targeted Advertising
Tzachy Reinman, Erez Waisbard
SECRYPT1
2010 Oblivious RAM Revisited
Benny Pinkas, Tzachy Reinman
CRYPTO2
2010 Peer-to-peer secure multi-party numerical computation facing malicious adversaries
Danny Bickson, Tzachy Reinman, Danny Dolev, Benny Pinkas
Peer-to-Peer Netw. Appl.2
2006 Analysis of the Linux Random Number Generator
abstract
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entropy of operating system events. The output of this generator is used for almost every security protocol, including TLS/SSL key generation, choosing TCP sequence numbers, and file system and email encryption. Although the generator is part of an open source project, its source code (about 2500 lines of code) is poorly documented, and patched with hundreds of code patches. We used dynamic and static reverse engineering to learn the operation of this generator. This paper presents a description of the underlying algorithms and exposes several security vulnerabilities. In particular, we show an attack on the forward security of the generator which enables an adversary who exposes the state of the generator to compute previous states and outputs. In addition we present a few cryptographic flaws in the design of the generator, as well as measurements of the actual entropy collected by it, and a critical analysis of the use of the generator in Linux distributions on diskless devices.
Zvi Gutterman, Benny Pinkas, Tzachy Reinman
S&P3