Sara Foresti (auth.)'s Preserving Privacy in Data Outsourcing PDF

By Sara Foresti (auth.)

Privacy standards have an expanding impression at the consciousness of recent functions. advertisement and felony laws call for that privateness promises be supplied each time delicate info is kept, processed, or communicated to exterior events. present techniques encrypt delicate info, therefore decreasing question execution potency and fighting selective details free up.

Preserving privateness in information Outsourcing provides a complete technique for safeguarding hugely delicate details while it really is kept on structures that aren't below the information owner's keep an eye on. The procedure illustrated combines entry keep an eye on and encryption, imposing entry regulate through established encryption. This answer, coupled with effective algorithms for key derivation and distribution, presents effective and safe authorization administration on outsourced info, permitting the knowledge proprietor to outsource not just the information however the defense coverage itself. to lessen the volume of knowledge to be encrypted the e-book additionally investigates facts fragmentation as a potential method to defend privateness of knowledge institutions and supply fragmentation as a complementary skill for safeguarding privateness: institutions damaged through fragmentation could be noticeable simply to clients approved (by understanding the correct key) to affix fragments. The ebook eventually investigates the matter of executing queries over attainable info allotted at varied servers and which needs to be managed to make sure delicate info and delicate institutions be obvious merely to events licensed for that. Case reports are supplied in the course of the book.

Privacy, info mining, facts defense, facts outsourcing, digital trade, desktop studying pros and others operating in those comparable fields will locate this publication a priceless asset, in addition to fundamental institutions corresponding to ACM, IEEE and administration technological know-how. This publication is usually appropriate for complex point scholars and researchers focusing on laptop technological know-how as a secondary textual content or reference book.

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First of all, it is desiderable to define an approach to generate and distribute to each user a single encryption key, supporting fast and secure derivation of the set of keys needed to access the set of data the user is authorized to access. Our basic technique fulfills this requirement and is independent from any specific data model; also, it does not rely on any specific authorization language, as the translation of the access control policy into a key derivation scheme is completely transparent to the owners.

Also, equality conditions involving attributes defined on the same domain can be evaluated by the server, provided that attributes characterized by the same domain are indexed using the same bucketization. In this case, a plaintext condition of the form ai j =aik is translated into condition Ii j =Iik operating on indexes. Bucket-based methods do not easily support range queries. Since the index domain does not necessarily preserve the plaintext domain ordering, a range condition of the form ai j ≥v, where v is a constant value, must be mapped into a series of equality conditions operating on index Ii j of the form Ii j =β1 OR Ii j =β2 OR .

N. Notation R(a1 ,. . ,an ) represents a relation schema R over the set {a1 ,. . ∗ refers to the set {a1 , . . , an } of attributes in the relation. At the schema level, a database is characterized by a name R and a set {R1 ,. . ,Rm } of relation schemas. At the instance level, a relation r over schema R(a1 ,. . ,an ) is a set of tuples over set {a1 ,. . ,an }. A tuple t over a set of attributes {a1 ,. . ,an } is a function that associates with each attribute ai a value v ∈ Di . Given an attribute a and a set A of attributes, t[a] denotes the value of attribute a in t and t[A] the sub-tuple composed of all values of attributes in A.

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