CIF

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Visible to the public CIF: Small: Collaborative Research:Security in Dynamic Environments: Harvesting Network Randomness and Diversity

The project aims at quantifying a general network's inner potential for supporting various forms of security by achieving secret common randomness between pairs or groups of its nodes. Statistical and computational secrecy measures are being considered against a general passive adversary. Common-randomness-achieving protocols are classified into two groups: culture-building and crowd-shielding. The former achieves common randomness between nodes situated in close proximity of each other, from correlated observations of specific (natural or induced) network phenomena.

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Visible to the public CIF: Small: Information transfer with guaranteed integrity

Information-theoretic security is the science of safeguarding information across a communication network based on the use of concepts and techniques in information theory. It encompasses protection against eavesdropping, impersonation, and substitution attacks made by potential adversaries present in the network. Whereas eavesdropping and impersonation attacks (and solutions) are well studied, substitution attacks, in which the adversary replaces messages from a source by different valid messages from the same source, present new risks in an increasingly networked world.

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Visible to the public CIF: Small: Collaborative Research: Secret Key Generation Under Resource Constraints

Common shared keys, which can be used for encryption/decryption, authentication and various other security primitives, plays a fundamental role in securing modern digital systems. Due to such significant importance, there has been a tremendous amount of work on the design of key generation/distribution schemes. Despite of these efforts, significant challenges, such as scalability and availability, remain to be fully addressed. This project investigates information theoretic approaches for secret key generation with focuses on fundamental and challenging issues under more realistic models.