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22 results on '"Chen, Liqun"'

1. Anonymous Single-Sign-On for n Designated Services with Traceability

Author

Han, Jinguang, Chen, Liqun, Schneider, Steve, Treharne, Helen, Wesemeyer, Stephan, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Lopez, Javier, editor, Zhou, Jianying, editor, and Soriano, Miguel, editor

Published
2018
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2. A Survey on Zero-Knowledge Authentication for Internet of Things.

Author

Chen, Zhigang, Jiang, Yuting, Song, Xinxia, and Chen, Liqun

Subjects
INTERNET of things, DATA security, SMART devices, IDENTIFICATION cards, DATA transmission systems
Abstract

The Internet of Things (IoT) is ubiquitous in our lives. However, the inherent vulnerability of IoT smart devices can lead to the destruction of networks in untrustworthy environments. Therefore, authentication is a necessary tool to ensure the legitimacy of nodes and protect data security. Naturally, the authentication factors always include various sensitive users' information, such as passwords, ID cards, even biological information, etc. How to prevent privacy leakage has always been a problem faced by the IoT. Zero-knowledge authentication is a crucial cryptographic technology that uses authenticates nodes on the networks without revealing identity or any other data entered by users. However, zero-knowledge proof (ZKP) requires more complex data exchange protocols and more data transmission compared to traditional cryptography technologies. To understand how zero-knowledge authentication works in IoT, we produce a survey on zero-knowledge authentication in privacy-preserving IoT in the paper. First, we overview the IoT architecture and privacy, including security challenges and open question in different IoT layers. Next, we overview zero-knowledge authentication and provide a comprehensive analysis of designing zero-knowledge authentication protocols in various IoT networks. We summarize the advantages of ZKP-based authentication in IoT. Finally, it summarizes the potential problems and future directions of ZKP in IoT. [ABSTRACT FROM AUTHOR]

Published
2023
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3. On the feasibility of crawling-based attacks against recommender systems1.

Author

Aiolli, Fabio, Conti, Mauro, Picek, Stjepan, Polato, Mirko, Liang, Kaitai, Chen, Liqun, Li, Ninghui, and Schneider, Steve

Subjects
RECOMMENDER systems, INTERNET access, USER experience
Abstract

Nowadays, online services, like e-commerce or streaming services, provide a personalized user experience through recommender systems. Recommender systems are built upon a vast amount of data about users/items acquired by the services. Such knowledge represents an invaluable resource. However, commonly, part of this knowledge is public and can be easily accessed via the Internet. Unfortunately, that same knowledge can be leveraged by competitors or malicious users. The literature offers a large number of works concerning attacks on recommender systems, but most of them assume that the attacker can easily access the full rating matrix. In practice, this is never the case. The only way to access the rating matrix is by gathering the ratings (e.g., reviews) by crawling the service's website. Crawling a website has a cost in terms of time and resources. What is more, the targeted website can employ defensive measures to detect automatic scraping. In this paper, we assess the impact of a series of attacks on recommender systems. Our analysis aims to set up the most realistic scenarios considering both the possibilities and the potential attacker's limitations. In particular, we assess the impact of different crawling approaches when attacking a recommendation service. From the collected information, we mount various profile injection attacks. We measure the value of the collected knowledge through the identification of the most similar user/item. Our empirical results show that while crawling can indeed bring knowledge to the attacker (up to 65% of neighborhood reconstruction on a mid-size dataset and up to 90% on a small-size dataset), this will not be enough to mount a successful shilling attack in practice. [ABSTRACT FROM AUTHOR]

Published
2022
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4. DFE-IP: Delegatable functional encryption for inner product.

Author

Han, Jinguang, Chen, Liqun, Susilo, Willy, Chen, Liquan, and Wu, Ge

Subjects
*CONCRETE construction, *REVOCATION
Abstract

Functional encryption for inner product (FE-IP) allows an authorized user to obtain the inner product of the vectors embedded in his/her secret key and a ciphertext, respectively. Therefore, it is an elegant tool to implement secure computation over encrypted data. Existing FE-IP schemes mainly considered security and function privacy issues, but did not address the decryption delegation problem. However, in practice, delegating decryption is desirable when an authorized user is unavailable to access the system due to leaving, network problems, etc. In this paper, a delegatable FE-IP (DFE-IP) scheme is proposed to support decryption delegation. Our scheme provides the following important features: (1) a delegator can delegate his/her decryption power to a delegatee; (2) a proxy is not required to re-encrypt ciphertexts; (3) it supports temporary delegation and flexible revocation. We first formalize our DFE-IP scheme including definition and security model, and then describe a concrete construction. Furthermore, the implementation and evaluation are provided to show its efficiency. Finally, its security is formally proven. The novelty is to implement temporary decryption delegation in FE-IP when authorized users are unavailable to access the system. • A delegator is allowed to delegate his/her decryption power to a delegatee. • The delegatee is allowed to decrypt ciphertexts on behalf of the delegator in a specified time period. • Our scheme is formally treated including definition, security models and security proof. • The implementation of our scheme is conducted to show its efficiency. [ABSTRACT FROM AUTHOR]

Published
2023
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5. Fine-grained information flow control using attributes.

Author

Han, Jinguang, Chen, Liqun, Susilo, Willy, Huang, Xinyi, Castiglione, Aniello, and Liang, Kaitai

Subjects
*TRANSBORDER data flow, *SET theory, *MATHEMATICAL constants, *DATA privacy, *DATA encryption
Abstract

Highlights • IFC policies are defined over a universe set of attributes. • The computation cost to determine whether a communication request shoul be permitted or denied is constant, instead of linear with the number of required attributes or receivers. • Weak attribute privacy is achieved; • Fine-grained access policies on encrypted data are supported. • The communication cost is linear with the number of required attributes and is independent of the number of receivers. To the best of our knowledge, it is the first IFC scheme enforced by using attributes. Abstract Information flow control (IFC) mechanisms regulate where information is allowed to travel. To enhance IFC, access control encryption (ACE) was proposed where both the no write-down rule and the no read-up rule are supported. Nevertheless, there are still two issues: (1) how to determine whether a communication request should be permitted or denied was not considered; (2) the commutation cost is linear with the number of receivers. Attribute-based system (ABS) can implement one-to-many communication and fine-grained access policies. In this paper, a new IFC scheme is proposed by combing ACE with ABS. Our scheme provides the following features: (1) IFC policies are defined over a universe set of attributes; (2) the computation cost to determine whether a communication request should be permitted or denied is constant, instead of linear with the number of required attributes or receivers; (3) weak attribute privacy is achieved; (4) fine-grained access policies on encrypted data are supported; (5) the communication cost is linear with the number of required attributes and is independent of the number of receivers. To the best of our knowledge, it is the first IFC scheme enforced by using attributes. [ABSTRACT FROM AUTHOR]

Published
2019
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6. Bibliometrics of Machine Learning Research Using Homomorphic Encryption.

Author

Chen, Zhigang, Hu, Gang, Zheng, Mengce, Song, Xinxia, and Chen, Liqun

Subjects
MACHINE learning, BIBLIOMETRICS, CITATION analysis, INTERNET of things, BIG data
Abstract

Since the first fully homomorphic encryption scheme was published in 2009, many papers have been published on fully homomorphic encryption and its applications. Machine learning is one of the most interesting applications and has drawn a lot of attention from researchers. To better represent and understand the field of Homomorphic Encryption in Machine Learning (HEML), this paper utilizes automated citation and topic analysis to characterize the HEML research literature over the years and provide the bibliometrics assessments for this burgeoning field. This is conducted by using a bibliometric statistical analysis approach. We make use of web-based literature databases and automated tools to present the development of HEML. This allows us to target several popular topics for in-depth discussion. To achieve these goals, we have chosen the well-established Scopus literature database and analyzed them through keyword counts and Scopus relevance searches. The results show a relative increase in the number of papers published each year that involve both homomorphic cryptography and machine learning. Using text mining of articles titles, we have found that cloud computing is a popular topic in this field, which also includes neural networks, big data, and the Internet of Things. The analysis results show that China, the US, and India have generated almost half of all the research contributions in HEML. The citation statistics, keyword statistics, and topic analyses give us a quick overview of the development of the field, which can be of great help to new researchers. It is also possible to apply our methodology to other research areas, and we see great value in this approach. [ABSTRACT FROM AUTHOR]

Published
2021
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7. On the feasibility of crawling-based attacks against recommender systems1.

Author

Aiolli, Fabio, Conti, Mauro, Picek, Stjepan, Polato, Mirko, Liang, Kaitai, Chen, Liqun, Li, Ninghui, and Schneider, Steve

Subjects
*RECOMMENDER systems, *INTERNET access, *USER experience
Abstract

Nowadays, online services, like e-commerce or streaming services, provide a personalized user experience through recommender systems. Recommender systems are built upon a vast amount of data about users/items acquired by the services. Such knowledge represents an invaluable resource. However, commonly, part of this knowledge is public and can be easily accessed via the Internet. Unfortunately, that same knowledge can be leveraged by competitors or malicious users. The literature offers a large number of works concerning attacks on recommender systems, but most of them assume that the attacker can easily access the full rating matrix. In practice, this is never the case. The only way to access the rating matrix is by gathering the ratings (e.g., reviews) by crawling the service's website. Crawling a website has a cost in terms of time and resources. What is more, the targeted website can employ defensive measures to detect automatic scraping. In this paper, we assess the impact of a series of attacks on recommender systems. Our analysis aims to set up the most realistic scenarios considering both the possibilities and the potential attacker's limitations. In particular, we assess the impact of different crawling approaches when attacking a recommendation service. From the collected information, we mount various profile injection attacks. We measure the value of the collected knowledge through the identification of the most similar user/item. Our empirical results show that while crawling can indeed bring knowledge to the attacker (up to 65% of neighborhood reconstruction on a mid-size dataset and up to 90% on a small-size dataset), this will not be enough to mount a successful shilling attack in practice. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Big Enough to Care Not Enough to Scare! Crawling to Attack Recommender Systems

Author

Aiolli, Fabio, Conti, Mauro, Picek, Stjepan, Polato, Mirko, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Liqun, editor, Li, Ninghui, editor, Liang, Kaitai, editor, and Schneider, Steve, editor

Published
2020
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9. GDPR – Challenges for Reconciling Legal Rules with Technical Reality

Author

Kutyłowski, Mirosław, Lauks-Dutka, Anna, Yung, Moti, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Liqun, editor, Li, Ninghui, editor, Liang, Kaitai, editor, and Schneider, Steve, editor

Published
2020
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10. SecHome: A Secure Large-Scale Smart Home System Using Hierarchical Identity Based Encryption

Author

Li, Yu, Wang, Yazhe, Zhang, Yuan, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Qing, Sihan, editor, Mitchell, Chris, editor, Chen, Liqun, editor, and Liu, Dongmei, editor

Published
2018
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11. Towards a Trusted and Privacy Preserving Membership Service in Distributed Ledger Using Intel Software Guard Extensions

Author

Liang, Xueping, Shetty, Sachin, Tosh, Deepak, Foytik, Peter, Zhang, Lingchen, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Qing, Sihan, editor, Mitchell, Chris, editor, Chen, Liqun, editor, and Liu, Dongmei, editor

Published
2018
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12. Multi-attribute Counterfeiting Tag Identification Protocol in Large-Scale RFID System

Author

Zhu, Dali, Rong, Wenjing, Wu, Di, Pang, Na, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Qing, Sihan, editor, Mitchell, Chris, editor, Chen, Liqun, editor, and Liu, Dongmei, editor

Published
2018
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13. Physical-Layer Identification of HF RFID Cards Based on RF Fingerprinting

Author

Zhang, Guozhu, Xia, Luning, Jia, Shijie, Ji, Yafei, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bao, Feng, editor, Chen, Liqun, editor, Deng, Robert H., editor, and Wang, Guojun, editor

Published
2016
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14. Masking Algorithm for Multiple Crosstalk Attack Source Identification Under Greedy Sparse Monitoring

Author

Siew, Hong Wei, Tan, Saw Chin, Lee, Ching Kwang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bao, Feng, editor, Chen, Liqun, editor, Deng, Robert H., editor, and Wang, Guojun, editor

Published
2016
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15. Tap-Tap and Pay (TTP): Preventing the Mafia Attack in NFC Payment

Author

Mehrnezhad, Maryam, Hao, Feng, Shahandashti, Siamak F., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, and Matsuo, Shin'ichiro, editor

Published
2015
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16. Standardization Transparency : An Out of Body Experience

Author

Griffin, Phillip H., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, and Mitchell, Chris, editor

Published
2014
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17. Software, Vendors and Reputation: An Analysis of the Dilemma in Creating Secure Software

Author

Wright, Craig S., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, and Yung, Moti, editor

Published
2011
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18. Can Hand-Held Computers Still Be Better Smart Cards?

Author

Tamrakar, Sandeep, Ekberg, Jan-Erik, Laitinen, Pekka, Asokan, N., Aura, Tuomas, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, and Yung, Moti, editor

Published
2011
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19. Trusted Virtual Domains – Design, Implementation and Lessons Learned

Author

Catuogno, Luigi, Dmitrienko, Alexandra, Eriksson, Konrad, Kuhlmann, Dirk, Ramunno, Gianluca, Sadeghi, Ahmad-Reza, Schulz, Steffen, Schunter, Matthias, Winandy, Marcel, Zhan, Jing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chen, Liqun, editor, and Yung, Moti, editor

Published
2010
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20. SocialClouds: Concept, Security Architecture and Some Mechanisms

Author

Xu, Shouhuai, Yung, Moti, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chen, Liqun, editor, and Yung, Moti, editor

Published
2010
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21. Remote Attestation of Attribute Updates and Information Flows in a UCON System

Author

Nauman, Mohammad, Alam, Masoom, Zhang, Xinwen, Ali, Tamleek, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, Mitchell, Chris J., editor, and Martin, Andrew, editor

Published
2009
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22. Automated Device Pairing for Asymmetric Pairing Scenarios

Author

Saxena, Nitesh, Uddin, Md. Borhan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Chen, Liqun, editor, Ryan, Mark D., editor, and Wang, Guilin, editor

Published
2008
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