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Efficient Search on Encrypted Data

Efficient Search on Encrypted Data. Outline. SWP Linear Scan SWP encrypted index Goh Bloom Filter Hybird scheme Discussion. SWP Linear Scan. K i = f k’ (L i ) X i = E k’’ (W i ). SWP encrypted index. motivation :當文件量大時, sequential scan 不是一個有效率的方法。 ex :在大型資料庫上,用

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Efficient Search on Encrypted Data

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  1. Efficient Search on Encrypted Data

  2. Outline • SWP Linear Scan • SWP encrypted index • Goh Bloom Filter • Hybird scheme • Discussion

  3. SWP Linear Scan • Ki = fk’(Li) • Xi = Ek’’(Wi)

  4. SWP encrypted index • motivation:當文件量大時,sequential scan不是一個有效率的方法。 • ex:在大型資料庫上,用 pre-computed index是加速搜尋最常用的技巧。 • ex:index keyword pointer document

  5. Simple way • Simple way: • Operation: • B search E(W) ,return A encrypted list. • A may decrypt the encrypted entries and send B another request to retrieve the documents • advantage:the request could be embedded in other retrievals • disadvantage:A has to spend round-trip time

  6. Another way • motivation:save time • Another way:Kw = Fk’’’(E(W))  pointer Ekw(Pi) • Search:send < E(W), Kw > to server

  7. Goh Bloom Filter • Document D:S={s1,s2,…,sn} • n : the number of words chosen by client • S : m bit array

  8. Methodology The motivations: • Have a method that allows the owner of the data to find the required data from a remote and untrusted storage • Supports any types of data • Allows Alice to choose just the required keywords describing the data • Preserve the keywords where the keywords can be retrieved if needed • Time complexity of 0(1) to search for a keyword • Easy integration with any existing indexing scheme • Good performance time in terms of encryption, decryption and search

  9. Scheme • Setup/Encryption Phase • Search Phase • Single Document Searching Mode • Multiple Documents Search Mode • Decryption Phase

  10. Setup/Encryption Phase

  11. Hash Table Loc(Wi) = H( Ek’(W)+id ) HT 2 HT 1 HT n Loc(W1) c1 Loc(W1) c1 Loc(W1) c1 c2 c2 Loc(W2) c2 Loc(W2) Loc(W2) c3 c3 Loc(W3) c3 Loc(W3) Loc(W3) … … … cn cn cn Loc(Wn) Loc(Wn) Loc(Wn)

  12. Search Phase:Single Document Searching Mode • 傳給server id // Loc(Wi) // Ek’(W) // ki

  13. Search Phase :Multiple Documents Search Mode • motivation: • Document number is unknown • Find a certain word in multiple documents • This allows server to do the hash function H on behalf of client

  14. Multiple Documents Search Mode

  15. Decryption Phase

  16. Discussion

  17. SWP Linear Scan disadvantage • Long processing time • The search time increases as with the number of word  not suitable for files with many words

  18. SWP encrypted index • The fastest processing time • disadvantage: • A single master index manages all the documents • Maintain a pool of keywords

  19. Goh Bloom Filter • High security • disadvantage: • Large index size • Long processing time • Not suitable for active file server where changes document occur frequently

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