1. Keyword search on encrypted data

2. Keyword search problem  Linux utility: grep  Information retrieval Basic operation Advanced operations – relevance analysis and ranking Search engines highly complicated problem

3. New settings  Search data in the cloud  Filter encrypted emails  Privacy preserving log retrieval

4. Basic techniques  Symmetric encryption  Public key encryption  Simple keyword matching  A little bit relevance evaluation

5. Secure keyword search with symmetric encryption  Paper: Song 2000 Seed is random, different for each Wi Key idea: Li and Ri are self- verifiable Advantage of XOR

7. How to set K?

8.  Setting of ki Ki = Fk’(Wi), k’ is secret User publishes W and k = Fk’(W) Server checks CiW  whether == CiW It reveals nothing if Ci is not the ciphertext for W. And Li is random for different Wi – server cannot find any information from Li.

9. Hidden search  In previous schemes, W is revealed  Weakness: each search will have to release k for W  Easy to collect information  Solution: encrypt Wi with an private key, then xor with  Still weaknesses Wi encryption should be deterministic Access pattern is leaked Linear scan over the whole doc collection

10. Typical method for speedy keyword based search  Using the “inverted index” Word -> doc1:pos, doc2:pos,… Or simply word -> doc1, doc2, … However, inverted index reveals the word frequency

11. Recent developments  Reza 2006 “Searchable symmetric encryption: improved definitions and efficient constructions” Completely solved this problem, with a solution indistinguishability under chosen ciphertext attack (IND-CCA)  Allow inverted index  Hide word frequency

12. setup  D – the set of documents {D1,…,Dn}  max - the maximum number of distinct words in a document  Li – the list of document IDs that contain the keyword w_i, plus some dummy entries to reach max  A – array contains all elements in Li (max * |D|)  T – table that contains the )

13.  Symmetric encryption function, encrypt words and document ids id(Dj) for wi entry is encoded as enc(wi||j) to make indistinguishable  Pseudo-random function f  Two pseudo-random permutation functions  : for mapping word to table entry : for mapping index to next node of Li to the index of array A

14. Building the index table T The key used to encrypt the node N i,1 1. 2. to random values of the same size of the existing entries

15.  Generating Li with K i,0, We can decrypt all nodes in the list For the remaining max – |D(wi)| dummy nodes, store the doc id that Already appears in the first |D(wi)| entries. This can be done with the help of a look-up table I

16. Search  Generate the trapdoor  Search

17. Property  Each keyword search returns the same number of encrypted document ids – the attacker cannot distinguish word frequency

18. Search public-key encrypted data  Users who encrypt the data (with public key) can be different from the owner of the private key

19. Cyclic group  For example, if G = { g 0, g 1, g 2, g 3, g 4, g 5 } mod p is a group, then g 6 = g 0, and G is cyclic. p is the order g is the generator

20. Bilinear-map construction  Two groups G1 G2 of prime order p  A bilinear map : G1 X G1 -> G2  Properties: