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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

邮发代号 80-970

2019 Impact Factor: 1.275

Frontiers of Computer Science  2023, Vol. 17 Issue (5): 175811   https://doi.org/10.1007/s11704-022-2236-9
  本期目录
IXT: Improved searchable encryption for multi-word queries based on PSI
Yunbo YANG1,2, Xiaolei DONG1(), Zhenfu CAO1(), Jiachen SHEN1(), Shangmin DOU3
1. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai 200062, China
2. Kunyao Academy of Shanghai Kunyao Network Technology Co., Ltd., Shanghai 200233, China
3. PwC US Advisory Shanghai AC, Shanghai 201203, China
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Abstract:

Oblivious Cross-Tags (OXT) [1] is the first efficient searchable encryption (SE) protocol for conjunctive queries in a single-writer single-reader framework. However, it also has a trade-off between security and efficiency by leaking partial database information to the server. Recent attacks on these SE schemes show that the leakages from these SE schemes can be used to recover the content of queried keywords. To solve this problem, Lai et al. [2] propose Hidden Cross-Tags (HXT), which reduces the access pattern leakage from Keyword Pair Result Pattern (KPRP) to Whole Result Pattern (WRP). However, the WRP leakage can also be used to recover some additional contents of queried keywords. This paper proposes Improved Cross-Tags (IXT), an efficient searchable encryption protocol that achieves access and searches pattern hiding based on the labeled private set intersection. We also prove the proposed labeled private set intersection (PSI) protocol is secure against semi-honest adversaries, and IXT is L′-semi-honest secure (L′ is leakage function). Finally, we do experiments to compare IXT with HXT. The experimental results show that the storage overhead and computation overhead of the search phase at the client-side in IXT is much lower than those in HXT. Meanwhile, the experimental results also show that IXT is scalable and can be applied to various sizes of datasets.

Key words: searchable encryption    private set intersection
收稿日期: 2022-04-20      出版日期: 2023-03-22
Corresponding Author(s): Xiaolei DONG,Zhenfu CAO,Jiachen SHEN   
 引用本文:   
. [J]. Frontiers of Computer Science, 2023, 17(5): 175811.
Yunbo YANG, Xiaolei DONG, Zhenfu CAO, Jiachen SHEN, Shangmin DOU. IXT: Improved searchable encryption for multi-word queries based on PSI. Front. Comput. Sci., 2023, 17(5): 175811.
 链接本文:  
https://academic.hep.com.cn/fcs/CN/10.1007/s11704-022-2236-9
https://academic.hep.com.cn/fcs/CN/Y2023/V17/I5/175811
Scheme Query type Search round Security Based Computation
[15] Conjunctive 2 Search hidden Paillier Heavy
[16] Conjunctive 3 Search hidden FHE Heavy
TWORAM [14] Single 4 Search hidden ORAM Very heavy
OXT [1] Conjunctive 4 Access leakage Symmetric-key Moderate
HXT [2] Conjunctive 6 Less access leakage Symmetric-key Moderate
IXT Conjunctive & disjunctive 3 Search & access hidden PSI (OPRF) Light
Tab.1  
Notation Meaning
λ Security parameter
κ Statistical parameter
H1,H2 Collusion-resistance hash function
C Linear correcting code
∧ Bit-wise AND
⊕ Bit-wise XOR
d Number of documents in database
Sym An indistinguishability under chosen-plaintext attack (IND-CPA) secure encryption scheme
idi The document identifier of the ith document
w A keyword
DB Database (idi,Wi)i=1d
DB(w) inverted-index
|DB(w)| Number of identifiers corresponding to keyword w
EDB Encrypted database
W The set of all keywords
D,Q,R PaXoS structure
L[y] All corresponding labels of y
[n] The set of integers 1,2,...,n
n Max number of keywords per query
R Result set at client side
negl(λ) A negligible function in λ
N Number of (w,id) pairs
n Number of queried keywords
TPRF Time to perform PRF computation
Thash Time to perform hash computation of BF
TXOR Time to perform bitwise XOR computation over λ
TEnc Time to perform symmetric-key encryption computation
TDec Time to perform symmetric-key decryption computation
TTSet Time to perform TSet computation
k Number of hash used in BF
p,e Number of pairings and exponentiations
m,m′ Number of multiplications over G and elements in BF
epre Number of preprocessed exponentiations
|t| Number of retrieved elements in TSet
Tab.2  
Fig.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
  
  
id Keywords
1 w1,w2,w6,w7,w8
2 w2,w3,w4,w5
3 w4,w5,w6,w7
4 w1,w2,w3
5 w1,w3,w6
6 w2,w3,w7
Tab.3  
Scheme Access pattern leakage entries Search pattern leakage entries
HXT (id4,w2),(id4,w3) w1.w2,w3
IXT None None
Tab.4  
Fig.6  
Fig.7  
OXT[1] HXT[2] IXT
Comp. Set-up comp. cost N(TTSet+epre+KThash) N(TTSet+epre+KThash)+(m)TPRF O(nλ)
Common cost (server) xtag & BF match |DB(w1)|((n?1)(kThash+e)) N/A
Additional cost (server) HVE Queries N/A |DB(w1)|((m′)TXOR+TDec) N/A
Common cost (server) labeled PSI N/A N/A O(Nλ)
Common cost (client) stag, xtoken & index recover |DB(w1)|((m′)TPRF+(m′)TXOR+TEnc) N/A
Additional cost (client) HVE KeyGen N/A |DB(w1)|((m′)TPRF+(m′)TXOR+TEnc) N/A
Common cost (client) labeled PSI N/A N/A O(nλ)
Storage Storage size (server) Nλ+m Nλ+mλ Nλ
Comm. Common comm. |t|+|DB(w1)|(n?1)G+|?|O(λ) O(Nλ)
Additional comm. tokenc transmission N/A |DB(w1)|(O(m′+2λ)) N/A
Tab.5  
Number of databases Distinct (id,w) pairs
1 101
2 102
3 103
4 104
5 105
6 106
7 107
Tab.6  
Fig.8  
Fig.9  
Fig.10  
Fig.11  
Fig.12  
Fig.13  
Fig.14  
Fig.15  
  
  
  
  
  
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