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Claude Castelluccia

Researcher at French Institute for Research in Computer Science and Automation

Publications -  178
Citations -  8914

Claude Castelluccia is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Encryption & Wireless sensor network. The author has an hindex of 45, co-authored 174 publications receiving 8248 citations. Previous affiliations of Claude Castelluccia include Commissariat à l'énergie atomique et aux énergies alternatives & University of California.

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Book ChapterDOI

OMEN: Faster Password Guessing Using an Ordered Markov Enumerator

TL;DR: Understanding the adversaries capabilities for guessing attacks is a fundamental necessity for estimating their impact and advising countermeasures.
Journal ArticleDOI

A Survey on the Encryption of Convergecast Traffic with In-Network Processing

TL;DR: In this paper, an overview of end-to-end encryption solutions for convergecast traffic in wireless sensor networks that support in-network processing at forwarding intermediate nodes is presented, and a qualitative comparison of available approaches, point out their strengths, respectively weaknesses, and investigate opportunities for further research.
Proceedings ArticleDOI

TinyRNG: A Cryptographic Random Number Generator for Wireless Sensors Network Nodes

TL;DR: TinyRNG, a CPRNG for wireless sensor nodes that uses the received bit errors on a wireless sensor network as one of the sources of randomness, and shows that these errors are difficult to observe and manipulate by an attacker.
Proceedings ArticleDOI

Improving secure server performance by re-balancing SSL/TLS handshakes

TL;DR: In this article, the authors proposed a client-aided RSA (CA-RSA) algorithm for rebalancing RSA-based client/server handshakes, which facilitates more favorable load distribution by requiring clients to perform more work (as part of encryption) and servers to perform commensurately less work.
Journal ArticleDOI

Extending mobile IP with adaptive individual paging: a performance analysis

TL;DR: This paper proposes to extend Mobile IP with adaptive individual paging and shows that the extension provides a significant gain compared to Mobile IP and the fixed size paging scheme and performs as well and sometimes better than Hierarchical Mobile IP.