• Title/Summary/Keyword: User privacy

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Traceable Dynamic Public Auditing with Identity Privacy Preserving for Cloud Storage

  • Zhang, Yinghui;Zhang, Tiantian;Guo, Rui;Xu, Shengmin;Zheng, Dong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5653-5672
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    • 2019
  • In cloud computing era, an increasing number of resource-constrained users outsource their data to cloud servers. Due to the untrustworthiness of cloud servers, it is important to ensure the integrity of outsourced data. However, most of existing solutions still have challenging issues needing to be addressed, such as the identity privacy protection of users, the traceability of users, the supporting of dynamic user operations, and the publicity of auditing. In order to tackle these issues simultaneously, in this paper, we propose a traceable dynamic public auditing scheme with identity privacy preserving for cloud storage. In the proposed scheme, a single user, including a group manager, is unable to know the signer's identity. Furthermore, our scheme realizes traceability based on a secret sharing mechanism and supports dynamic user operations. Based on the security and efficiency analysis, it is shown that our scheme is secure and efficient.

Access-Authorizing and Privacy-Preserving Auditing with Group Dynamic for Shared Cloud Data

  • Shen, Wenting;Yu, Jia;Yang, Guangyang;Zhang, Yue;Fu, Zhangjie;Hao, Rong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.7
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    • pp.3319-3338
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    • 2016
  • Cloud storage is becoming more and more popular because of its elasticity and pay-as-you-go storage service manner. In some cloud storage scenarios, the data that are stored in the cloud may be shared by a group of users. To verify the integrity of cloud data in this kind of applications, many auditing schemes for shared cloud data have been proposed. However, all of these schemes do not consider the access authorization problem for users, which makes the revoked users still able to access the shared cloud data belonging to the group. In order to deal with this problem, we propose a novel public auditing scheme for shared cloud data in this paper. Different from previous work, in our scheme, the user in a group cannot any longer access the shared cloud data belonging to this group once this user is revoked. In addition, we propose a new random masking technique to make our scheme preserve both data privacy and identity privacy. Furthermore, our scheme supports to enroll a new user in a group and revoke an old user from a group. We analyze the security of the proposed scheme and justify its performance by concrete implementations.

A License Administration Protocol Providing User Privacy in Digital Rights Management (디지털 저작권 관리에서 사용자의 프라이버시 보호를 제공하는 라이센스 관리 프로토콜)

  • 박복녕;김태윤
    • Journal of KIISE:Information Networking
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    • v.30 no.2
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    • pp.189-198
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    • 2003
  • As people are damaged increasingly by personal information leakage, awareness about user privacy infringement is increasing. However, the existing DRM system does not support the protection of user's personal information because it is not necessary for the protection of copyrights. This paper is suggesting a license administration protocol which is more powerful to protect personal information in DRM. To protect the exposure of users identifier, this protocol uses temporary ID and token to guarantee anonymity and it uses a session key by ECDH to cryptography and Public-Key Cryptosystem for a message so that it can protect the exposure of personal information and user's privacy.

OAuth-based User Authentication Framework for Internet of Things (IoT 환경에 적합한 OAuth 기반의 사용자 인증 프레임워크)

  • Yu, Sung-Tae;Oh, Soo-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.8057-8063
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    • 2015
  • It is expected that internet of things can be used for various fields such as smart home, smart building and smart city as the representative case of ICT that sensor, communication and interface technologies operate organically and the researches of the technologies regarding internet of things are being carried out in each countries worldwide. However, many problems rise against internet of things continuously in respect of security. Among them, the problem of privacy is the one that should be solved definitely regarding internet of things. If user data does not remain during the process of user authentication, such the privacy problem can be solved. In this paper, we propose the framework of user authentication based on OAuth that is suitable for the environment of internet of things that can solve privacy problem and analyze its security.

Security Enhanced Authentication Protocol in LTE With Preserving User Location Privacy (LTE에서 사용자 위치 정보 보호를 위한 보안 향상 인증 프로토콜)

  • Hahn, Changhee;Kwon, Hyunsoo;Hur, Junbeom
    • Journal of KIISE
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    • v.41 no.9
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    • pp.715-727
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    • 2014
  • The number of subscribers in 4th generation mobile system has been increased rapidly. Along with that, preserving subscribers' privacy has become a hot issue. To prevent users' location from being revealed publicly is important more than ever. In this paper, we first show that the privacy-related problem exists in user authentication procedure in 4th generation mobile system, especially LTE. Then, we suggest an attack model which allows an adversary to trace a user, i.e. he has an ability to determine whether the user is in his observation area. Such collecting subscribers' location by an unauthorized third party may yield severe privacy problem. To keep users' privacy intact, we propose a modified authentication protocol in LTE. Our scheme has low computational overhead and strong secrecy so that both the security and efficiency are achieved. Finally, we prove that our scheme is secure by using the automatic verification tool ProVerif.

Efficient dummy generation for protecting location privacy in location based services (위치기반 서비스에서 위치 프라이버시를 보호하기 위한 효율적인 더미 생성)

  • Cai, Tian-yuan;Youn, Ji-hye;Song, Doo-hee;Park, Kwang-jin
    • Journal of Internet Computing and Services
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    • v.18 no.5
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    • pp.23-30
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    • 2017
  • For enjoying the convenience provided by location based services, the user needs to submit his or her location and query to the LBS server. So there is a probability that the untrusted LBS server may expose the user's id and location etc. To protect user's privacy so many approaches have been proposed in the literature. Recently, the approaches about using dummy are getting popular. However, there are a number of things to consider if we want to generate a dummy. For example, when generating a dummy, we have to take the obstacle and the distance between dummies into account so that we can improve the privacy level. Thus, in this paper we proposed an efficient dummy generation algorithm to achieve k-anonymity and protect user's privacy in LBS. Evaluation results show that the algorithm can significantly improve the privacy level when it was compared with others.

Development of Simulation Tool to Support Privacy-Preserving Data Collection (프라이버시 보존 데이터 수집을 지원하기 위한 시뮬레이션 툴 개발)

  • Kim, Dae-Ho;Kim, Jong Wook
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1671-1676
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    • 2017
  • In theses days, data has been explosively generated in diverse industrial areas. Accordingly, many industries want to collect and analyze these data to improve their products or services. However, collecting user data can lead to significant personal information leakage. Local differential privacy (LDP) proposed by Google is the state-of-the-art approach that is used to protect individual privacy in the process of data collection. LDP guarantees that the privacy of the user is protected by perturbing the original data at the user's side, but a data collector is still able to obtain population statistics from collected user data. However, the prevention of leakage of personal information through such data perturbation mechanism may cause the significant reduction in the data utilization. Therefore, the degree of data perturbation in LDP should be set properly depending on the data collection and analysis purposes. Thus, in this paper, we develop the simulation tool which aims to help the data collector to properly chose the degree of data perturbation in LDP by providing her/him visualized simulated results with various parameter configurations.

Solution for Distributed User's Privacy Under Web Environment (웹 환경에서의 분산형 개인정보보호를 위한 솔루션)

  • Kim, Daeyu;Kim, Jung Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.2
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    • pp.317-322
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    • 2013
  • Personal information is defined information related to users' privacy data. It can be verified information through social security number, image, and means relating to individual can verify. Such personal information is in accordance with the privacy act in law for the collection and usage in enterprises and institutions. However, it can be induced privacy problem when it is exposed information without attention. This user's inadvertent disclosure of personal information has occurred due to social engineering and intelligent cyber-crime occurred in order to solve these problems. A variety of protection solutions for personal information have been developed. Web privacy filtering firewall and solutions related with server have been developed among developed many solutions, web privacy filtering and firewall solutions is proposed in this paper.

A Study on the Protection of Personal Privacy on Online Environment (온라인 환경에서 개인 프라이버시 보호에 관한 연구)

  • Nam, Soo-tai;Kim, Do-Goan;Jin, Chan-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.183-186
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    • 2014
  • Increasingly important user based service on the smart media era, and increasing awareness about the user experience. As the connected Internet information systems increases, one of the problems happening between users and information systems such as Internet shopping-malls, portal sites, and corporate web sites is related with the information privacy concerns issues. Thus, we have reviewed extensive previous studies on information privacy in local and foreign information systems, marketing and other fields. The purpose of this study is to provide future directions of studies on information privacy concerns by analyzing past and recent trends of the studies. By considering these realities, we were conducted review on the influencing factors of information privacy concerns on behavior intention based the online environment. Based on these findings, several theoretical and practical implications were suggested and discussed.

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User Privacy Security Scheme using Double Replication Key in the Cloud Environment (클라우드 환경에서 이중 복제 키를 사용한 사용자 프라이버시 보호 기법)

  • Jeong, Yoon-Su
    • Journal of the Korea Convergence Society
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    • v.9 no.4
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    • pp.9-14
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    • 2018
  • Recently, as the internet speed is getting faster, in the cloud environment, the service receiving device is changing from a general PC to a compact device such as a mobile phone or a tablet PC. Since handheld devices such as mobile phones or tablet PCs are often used in wireless rather than wired, there are many problems that personal information may be exposed maliciously from a third party. In this paper, we propose a user privacy protection scheme through a duplicate duplicate key generation process which can safely protect user 's privacy from third party among cloud services being served through various wireless media. The proposed scheme is used to synchronize the duplicated key between the server and the intermediary device, and aims at shortening the time of the authentication process protecting the user 's privacy. In this case, the proposed scheme uses Interleave() function and random number to synchronize the server and the intermediary device, so it can safely prevent the malicious attack of the third party.