By D.T. Lee, S. P. Shieh, J. Doug Tygar
Desktop safeguard within the twenty first Century stocks many of the rising very important study tendencies mirrored in fresh advances in desktop safety, together with: safeguard protocol layout, safe peer-to-peer and advert hoc networks, multimedia protection, and intrusion detection, safeguard and measurement.Highlights contain displays of :-Fundamental new security-Cryptographic protocols and design,-A new approach of measuring community vulnerability: assault surfaces,-Network vulnerability and development impenetrable structures, -Multimedia content material safety together with a brand new commonplace for photographic pictures, JPEG2000. Researchers and computing device defense builders will locate during this publication fascinating and beneficial insights into construction desktops that defend opposed to laptop worms, desktop viruses, and different similar issues.
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Additional info for Computer Security in the 21st Century
Email addresses) respectively. When a database has various information about a customer, the storage overhead can be quite high. In this section, we describe a Homomorphic Data Ownership CertiJicate scheme that allows a customer to generate one DOC for all of his or her information submitted to a database and still enables the databases to intersect certain attributes of customer information. The semantics for a homomorphic data ownership certificate call for a malleable DOC scheme. Given a DOC C; for S from an active entity E, we would like the set owner to generate a valid for St where St C S without the help of E.
Ideally, a common element between tion d when E issues 0 a DOC C two databases should be discovered only when both databases have been au- thorized with DOCs by the corresponding active entity for that element. More precisely, we require two security properties from Data Ownership Certificates: Confidentiality: If Bob is not an authorized owner of d, Bob should not be able to learn that Alice possesses d if he runs a matching protocol directly with Alice. , Bob cannot introduce d into the matching result.
Agrawal, et al. suggest solving the matching problem by introducing a pair of encryption functions E (known only to A) and El (known only to B ) such that for all x, E(E1(x)) = E1(E(x)). Alice has customer list A and Bob has customer list B. Alice sends Bob the message E(A); Bob computes and then sends to Alice the two messages E1(E(A)) and E1(B). Alice then applies E to E1(B), yielding (using the commutativity of E and El) these two lists: E1(E(A)) and E1(E(B)). Alice computes E1(E(A)) n E1(E(B)).