A secure self-destructing scheme for electronic data

Wang, Guojun; Yue, Fengshun; Liu, Qin

doi:10.1016/j.jcss.2012.05.008

Cited by 39 publications

(24 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our threat model, the communication channels are assumed to be secured when queries and information are transmitted via communication networks. The existing security schemes [e.g., secure sockets layer (SSL)] and conventional solutions (e.g., cryptography and hashing) can be used to protect the secrecy and integrity of the information through network [25], [26]. Therefore, there are three types of attackers: 1) The LSP, which knows the ASR, may be compromised by the adversary or may leak information for making profits; 2) the Anonymizer, collecting all messages as an intermediate tier between the users and the LSP, may become a bigger target and may reveal the cloaking algorithm; and 3) a small number of malicious users may want to know other users' privacy.…”

Section: B Threat Modelmentioning

confidence: 99%

Enhanced Location Privacy Preserving Scheme in Location-Based Services

Peng

Liu

Wang

2017

IEEE Systems Journal

Self Cite

View full text Add to dashboard Cite

With the increasing popularity of mobile communication devices loaded with positioning capabilities (e.g., GPS), there is growing demand for enjoying location-based services (LBSs). An important problem in LBSs is the disclosure of a user's real location while interacting with the location service provider (LSP). To address this issue, existing solutions generally introduce a trusted Anonymizer between the users and the LSP. However, the introduction of an Anonymizer actually transfers the security risks from the LSP to the Anonymizer. Once the Anonymizer is compromised, it may put the user information in jeopardy. In this paper, we propose an enhanced-location-privacy-preserving scheme for the LBS environment. Our scheme employs an entity, termed Function Generator, to distribute the spatial transformation parameters periodically, with which the users and the LSP can perform the mutual transformation between a real location and a pseudolocation. Without the transforming parameters, the Anonymizer cannot have any knowledge about a user's real location. The main merits of our scheme include the following: 1) no fully trusted entities are required, and 2) each user can obtain accurate points of interest while preserving location privacy. The efficiency and effectiveness of the proposed scheme are validated by extensive experiments. The experimental results show that the proposed scheme preserves location privacy at low computational and communication cost.Index Terms-Hilbert curve, K-anonymity, location-based service (LBS), location privacy, privacy preserving.

show abstract

Section: B Threat Modelmentioning

confidence: 99%

Enhanced Location Privacy Preserving Scheme in Location-Based Services

Peng

Liu

Wang

2017

IEEE Systems Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Wang. [2] improved the Vanish System by distributing part of the cipher data with key shares into the DHT to resist the cryptanalysis and brute force attack. Reference [3] proposed a deterministic data deletion method applicable for cloud storage to effectively improve the efficiency of key management.…”

Section: Introductionmentioning

confidence: 99%

“…The method used key derivation tree to organize and manage keys which distributed into DHT, and deterministically deleted the keys with the similar method like Van ish. However, Reference [4] argued that the Vanish which using Vu ze DHT was under threat of Sybil attack that attacks could get enough key shares before expiration to reconstruct the key, so references [1][2][3] all had this security issue. Reference [6] proposed the SafeVanish program that extended the length of key shares and encrypt key by RSA to avoid the Sybil hopping attack and sniffing attack respectively.…”

Section: Introductionmentioning

confidence: 99%

Self-destructing Data Method Based on Privacy Cloud

Wu¹,

Fu²,

Wang³

et al. 2015

Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

View full text Add to dashboard Cite

Abstract-Cloud Data Security is gaining more and more attention from enterprises and users. Email security may be the most highlighted, since the past and archived cloud data is under risk of compromising privacy. However, the traditional cryptology method cannot meet the security demand in privacy protection. Data self-destruction is the ultimate way to protect the security and privacy of data. Our research aims at protect the privacy of past and archived cloud data, such as emails remained in cloud service provider. This article proposes a self-destructing data method to realize the self-destruction of cloud data, and apply it to the implementation of self-destructing email system. In this method, split cipher data with key are distributed in storage called privacy cloud. Consequently, the system achieves the aim of data self-destruction and has good user experience. In the article, comparative analysis and performance measurement show that the scheme is able to satisfy the application demands.

show abstract

“…These systems prefer P2P-like environments, but potentially face Sybil attacks [7] and, 2) those (e.g. [1], [15], [16]) that require a trusted third party (trusted authority) to manage and distribute the secrete key, thereby potentially facing scalability limitations.…”

Section: Introductionmentioning

confidence: 99%

“…Very recently, Wang et al [16] advanced DataAssociate algorithm and implemented SSDD (secure selfdestructing scheme for electronic data) which not only resists against the attacks in DHT networks but also addresses the traditional cryptanalysis and brute-force attacks. Fu et al [1] implemented a self-destructing email system by deleting one piece of the encrypted and split data, so the body of email is uncompleted and can never be compromised.…”

Section: Introductionmentioning

confidence: 99%

CloudSky: A Controllable Data Self-Destruction System for Untrusted Cloud Storage Networks

Zeng

Wang

Feng

2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

View full text Add to dashboard Cite

Nowadays internet is the strongest way to connect the people. Internet encompasses banking, messaging, sharing data social networking etc. By developing cloud technology maximum applications are using cloud interface, and people usually trust all the services provided by cloud, users can store personal information on cloud. Later that information can be cached, copy, archived by the CSPs' (Cloud Service Provider). Self destructing data is considering as spy proof future of the internet, by using this data is like a time bomb on the network, it means that after certain time interval. Primarily self destruction of data was introduced on DHT (Distributed Hash Table), since low cost Sybil attack on DHT are the problems. Self destructing data is now on active storage framework (SeDas) because it giving higher security and performance. SeDas is having a proof concept that performance is improved by 60 to 72 percent but it deals with text data only, no multimedia data is considered for this system. Also uploading and downloading of the file having very poor performance especially with the large files. This paper is going to address these two problems so that privacy can be achieved in public network.

show abstract

A secure self-destructing scheme for electronic data

Cited by 39 publications

References 14 publications

Enhanced Location Privacy Preserving Scheme in Location-Based Services

Enhanced Location Privacy Preserving Scheme in Location-Based Services

Self-destructing Data Method Based on Privacy Cloud

CloudSky: A Controllable Data Self-Destruction System for Untrusted Cloud Storage Networks

Contact Info

Product

Resources

About