OB-WSPES: A Uniform Evaluation System for Obfuscation-based Web Search Privacy

Wei, Chengkun; Gu, Qinchen; Ji, Shouling; Chen, Wenzhi; Wang, Zonghui; Beyah, Raheem

doi:10.1109/tdsc.2019.2962440

Cited by 4 publications

(3 citation statements)

References 51 publications

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“…Query obfuscation-based private web search (OB-PWS) is another class of schemes recently addressed in the context of web search privacy [17], [33], [42], [43]. OB-PWS schemes achieve WSP by obfuscating the true query with the help of cover queries.…”

Section: E Query Obfuscation Based Pws Techniquesmentioning

confidence: 99%

Private Web Search Using Proxy-Query Based Query Obfuscation Scheme

Bashir

Khattak

2023

IEEE Access

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People use web search engines to retrieve information from the world wide web. Search engines maintain query logs to refine retrieved information for personalized web search. The query log includes information of users, both sensitive and non-sensitive. If utilized against an individual, the query log may pose privacy concerns and reveal a lot of information about them. In recent years many private web search (PWS) schemes have been proposed to realize privacy-preserving web search. Although each PWS scheme claims to have unique features for attaining web search privacy (WSP), no study explains which private web search characteristics should be considered when building and utilizing a PWS scheme. There are two objectives of this article. In the first part of the article, we present a novel PWS scheme that uses a proxyquery-based query obfuscation approach. Proxy-query-based query obfuscation is a new study topic in PWS research. It provides an IR facility for retrieving information from web search engines via proxy queries. One clear advantage of the proposed scheme is that users do not issue true queries to search engines for retrieving information. The article's second objective is to define the characteristics of PWS and analyze modern PWS schemes on these characteristics. We analyzed proposed and modern PWS schemes on the PWS characteristics. The analysis demonstrated only the proposed PWS scheme achieves all characteristics. Existing PWS systems have been discovered vulnerable to WSP attacks since they do not meet all PWS characteristics.INDEX TERMS Private web search, web search privacy, query obfuscation, proxy-queries based web search, information retrieval.

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Section: E Query Obfuscation Based Pws Techniquesmentioning

confidence: 99%

Private Web Search Using Proxy-Query Based Query Obfuscation Scheme

Bashir

Khattak

2023

IEEE Access

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“…Another group of techniques that are recently explored for the web search domain is query obfuscation-based private web search (OB-PWS) [19], [20], [22], [24]. The OB-PWS techniques generate non-noisy cover queries for obfuscating true queries [34], [35].…”

Section: E Query Obfuscation Based Pws Techniquesmentioning

confidence: 99%

Proxy-Terms Based Query Obfuscation Technique for Private Web Search

2022

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Search engines store users' queries in a query log for performing personalized information retrieval. However, query logs cause privacy concerns and reveal a lot of information about individuals if used against them. Private web search (PWS) provides a privacy-preserving information retrieval (IR) facility which allows users to retrieve information from an IR system without revealing true search queries. Current PWS techniques that are explored in the domain of web search are query obfuscation-based private web search (OB-PWS). These techniques achieve web privacy by injecting cover queries into the user profiles. However, existing OB-PWS techniques submit true queries along with cover queries and achieve query obfuscation in an isolated manner without considering the similarity between consecutive queries. In this article, we propose a proxy-terms based query obfuscation technique that allows users to retrieve information from an IR system through proxy queries without submitting true queries. IR system automatically generates cover queries and true queries from the proxy queries and cannot differentiate whether the user is trying to retrieve information for the cover queries or true query. We analyzed the effectiveness of the proposed technique on test queries, and develop a similarity metric for testing the accuracy of the proposed technique. Promising results of experiments confirm the effectiveness of the proposed technique.

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“…of Captchas With Large Character Sets; TDSC Nov.-Dec. 2021 2953-2968 Wang, Q., see Wang, Z., TDSC May-June 2021 1474-1488 Wang, X., see Lee, Y., TDSC Sept.-Oct. 2021 2390-2402 Wang, X., see Lee, Y., TDSC Sept.-Oct. 2021 2390-2402 Wang, X., see Yao, L., TDSC Nov.-Dec. 2021 2848-2860 Wang, X., see Wu, Y., TDSC Nov.-Dec. 2021 2820-2834 Wang, X.S., see Han, W., TDSC Nov.-Dec. 2021 2705-2718 Wang, Y., see Zheng, S., TDSC March-April 2021 692-705 Wang, Y., see Chang, H., TDSC July-Aug. 2021 1733-1750 Wang, Z., Song, M., Zheng, S., Zhang, Z., Song, Y., and Wang, Q., Invisible Adversarial Attack against Deep Neural Networks: An Adaptive Penalization Approach; TDSC May-June 2021 1474-1488 Wang, Z., seeCheng, Y., TDSC July-Aug. 2021 1989-2004 Wang, Z., see 2569-2581 Wang, Z., seeWei, C., TDSC Nov.-Dec. 2021 2719-2735 Wei, C., see Hu, X., TDSC March-April 2021 843-857 Wei, C., Gu, Q., Ji, S., Chen, W., Wang, Z., and Beyah, R., OB-WSPES: A Uniform Evaluation System for Obfuscation-Based Web Search Privacy; TDSC Nov.-Dec. 2021 2719-2735 Wei, G., see Wang, H., TDSC May-June 2021 1307-1319 Wei, J., Chen, X., Huang, X., Hu, X., and Susilo, W., RS-HABE: Revocable-Storage and Hierarchical Attribute-Based Access Scheme for Secure Sharing of e-Health Records in Public Cloud; TDSC Sept.-Oct. 2021 2301-2315 Wei, W., and Liu, L., Robust Deep Learning Ensemble Against Deception; TDSC July-Aug. 2021 1513-1527 Wei, W., see Gursoy, M.E., TDSC Sept.-Oct. 2021 2365-2378 Wei, Y., see Li, J., TDSC Jan.-Feb. 2021 460-474 Weimer, W., see Zhou, L., Wesemeyer, S., see Han, J., TDSC July-Aug. 2021 1836-1849 Wojciechowski, P.T., see Konczak, J., TDSC March-April 2021 623-640 Wong, H.W.H., see Aloufi, A., TDSC July-Aug. 2021 1821-1835 Wu, C., see Li, X., TDSC July-Aug. 2021 1933-1949 Wu, G., see Yao, L., TDSC March-April 2021 904-917 Wu, G., see Yao, L., TDSC Nov.-Dec. 2021 2848-2860 Wu, H., see Chen, Y., TDSC May-June 2021 1320-1335 Wu, H., see Miao, Y., TDSC July-Aug. 2021 1667-1680 Wu, H., see Xu, L., TDSC Nov.-Dec. 2021 2941-2952 + Check author entry for coauthors Wu, P., X Xia, J., see Ge, C., TDSC May-June 2021 1214-1226 Xia, J., see Ge, C., TDSC Nov.-Dec. 2021 2787-2800 Xiang, Y., see Liu, J., TDSC Jan.-Feb. 2021 448-459 Xiang, Y., see Zhang, Y., TDSC March-April 2021 652-666 Xiang, Y., see Li, X., TDSC July-Aug. 2021 1591-1604 Xiang, Y., see Wang, D., TDSC Sept.-Oct. 2021 2074-2087 Xiang, Y., see Lin, G., TDSC Sept.-Oct. 2021 2469-2485 Xiang, Y., see Xu, L., TDSC Nov.-Dec. 2021 2941-2952 Xiao, J., see Zhou, L., TDSC July-Aug. 2021 1920-1932 Xiao, Q., see Chen, Y., TDSC Sept.-Oct. 2021 2017-2028 Xiao, R., Ren, W., Zhu, T., and Choo, K.R., A Mixing Scheme Using a Decentralized Signature Protocol for Privacy Protection in Bitcoin Blockchain; TDSC July-Aug. 2021 1793-1803 Xiao, S., see Liang, J., TDSC July-Aug. 2021 1632-1644 Xie, N., Chen, C., and Ming, Z., Security Model of Authentication at the Physical Layer and Performance Analysis over Fading Channels; TDSC Jan.-Feb. 2021 253-268 Xie, S., see Liu, B., TDSC Nov.-Dec. 2021 2643-2657 Xie, X., see Ma, S., TDSC March-April 2021 641-651 Xie, Y., Wu, Y., Feng, D., and Long, D., P-Gaussian: Provenance-Based Gaussian Distribution for Detecting Intrusion Behavior Variants Using High Efficient and Real Time Memory Databases; TDSC Nov.-Dec. 2021 2658-2674 Xing, L., see Mo, Y., TDSC Jan.-Feb. 2021 1-14 Xiong, H., see Sun, J., TDSC Sept.-Oct. 2021 2518-2519 Xu, C., see Zhang, X., TDSC May-June 2021 1019-1032 Xu, C., see Zhang, C., TDSC May-June 2021 1245-1260 Xu, F., see Zhang, Y., TDSC May-June 2021 1008-1018 Xu, F., see Hu, Y., TDSC May-June 2021 1033-1050 Xu, J., see Guo, H., TDSC Jan.-Feb. 2021 145-159 Xu, L., see Chen, S., TDSC Nov.-Dec. 2021 2551-2568 Xu, L., Xu, P., see Wu, Y., TDSC Nov.-Dec. 2021 2820-2834 Xu, R., Joshi, J., and Krishnamurthy, P., An Integrated Privacy Preserving Attribute-Based Access Control Framework Supporting Secure Deduplication; TDSC March-April 2021 706-721 Xu, S., see Zou, D., TDSC Sept.-Oct. 202...…”

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confidence: 99%

2021 Index IEEE Transactions on Dependable and Secure Computing Vol. 18

2022

IEEE Trans. Dependable and Secure Comput.

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OB-WSPES: A Uniform Evaluation System for Obfuscation-based Web Search Privacy

Cited by 4 publications

References 51 publications

Private Web Search Using Proxy-Query Based Query Obfuscation Scheme

Private Web Search Using Proxy-Query Based Query Obfuscation Scheme

Proxy-Terms Based Query Obfuscation Technique for Private Web Search

2021 Index IEEE Transactions on Dependable and Secure Computing Vol. 18

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