Data Modeling Design

Computer Security in the 21st Century by D.T. Lee, S. P. Shieh, J. Doug Tygar

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.

Show description

Read or Download Computer Security in the 21st Century PDF

Similar data modeling & design books

Distributed Object-Oriented Data-Systems Design

This consultant illustrates what constitutes a sophisticated dispensed details method, and the way to layout and enforce one. the writer provides the foremost components of a complicated allotted details process: a knowledge administration method assisting many sessions of information; a dispensed (networked) setting aiding LANs or WANS with a number of database servers; a sophisticated person interface.

Modeling and Data Mining in Blogosphere (Synthesis Lectures on Data Mining and Knowledge Discovery)

This e-book bargains a complete evaluate of a number of the suggestions and learn matters approximately blogs or weblogs. It introduces strategies and methods, instruments and purposes, and evaluate methodologies with examples and case reviews. Blogs enable humans to precise their strategies, voice their evaluations, and percentage their reports and ideas.

Morphological Modeling of Terrains and Volume Data

This booklet describes the mathematical heritage in the back of discrete methods to morphological research of scalar fields, with a spotlight on Morse idea and at the discrete theories as a result of Banchoff and Forman. The algorithms and information constructions provided are used for terrain modeling and research, molecular form research, and for research or visualization of sensor and simulation 3D facts units.

Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with ORM

Object-Role Modeling (ORM) is a fact-based method of facts modeling that expresses the knowledge requisites of any company area easily when it comes to items that play roles in relationships. All evidence of curiosity are handled as situations of attribute-free constructions often called truth varieties, the place the connection might be unary (e.

Additional info for Computer Security in the 21st Century

Sample text

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)).

Download PDF sample

Rated 4.81 of 5 – based on 28 votes