# reducing false positives in searchable encryption

Practical techniques for searchable encryption proposed by Song et al. [1] have a false positive rate of $l/2^m$ where $l$ is left half of encrypted bits and $m$ is right half and $l+m=n$ where $n$ is number of bits of the word being encrypted. For getting clarity on these bits please refer the figure 3 in page 6. (paper). Especially when the input domain of words being encrypted is not so random say serial numbers, sequence ids etc. the false positives are simply high.

Is there any subsequent work done or techniques available for reducing the false positive rate ?

[1] – Song, Dawn Xiaoding, David Wagner, and Adrian Perrig. "Practical techniques for searches on encrypted data." Security and Privacy, 2000. S&P 2000. Proceedings. 2000 IEEE Symposium on. IEEE, 2000.

• David Wagner is a member of this community... Hopefully he'll see this and give you an authoritative answer :) – pg1989 Sep 19 '14 at 18:46
• what is his id ? – sashank Sep 23 '14 at 13:55
• D.W. is (i think) his handle here. – pg1989 Sep 23 '14 at 21:55
• @pg1989 Are you sure D.W. is who you think he is? I’m asking, because I am honestly having my doubts about that… David doesn’t tend to have D.W.’s (rather European) writing style, and the difference in wording doesn’t build a bridge either. – Trina Sep 24 '14 at 12:48
• Actually I'm not sure, come to think of it. – pg1989 Sep 24 '14 at 18:10

A trivial way is with additional storage. by making the $l$ to be complete string instead of few $left$ bits shown in the figure above. so technically $|l|=|n|$ and $|m| = 0$.
This way the entire string is covered for search. Now rest of the scheme is same except that the stream cipher bits $S_i$ in the figure above are $\oplus$'ed with entire $l_i$ and store the encryption of $F_{ki}(S_i)$ separately for matching. Now there is an additional over head of storing $F_{ki}(S_i)$ bits. In reality, if we use AES for $F_{ki}(S_i)$ operation would result in 128 bits additionally which might be an over kill. If we use some length preserving encryption like FNR we could reduce the size of additional storage needed to size of word itself. Even in this case, we need double the storage of input text as premium for reducing false positives.