SafeVanish: An Improved Data Self-Destruction for Protecting Data Privacy

Zeng, Lingfang; Shi, Zhan; Xu, Shengjie; Feng, Dan

doi:10.1109/cloudcom.2010.21

Cited by 47 publications

(29 citation statements)

References 8 publications

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“…Although Vanish can achieve data security in such an elegant way, it is not strongly secure due to some special P2Poriented attacks [7], [8]. Another disadvantage of Vanish is the uncontrollable surviving time of the key.…”

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

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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.

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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

Self Cite

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“…Since Vuze automatically deletes the stored data every 8 hours, the data can be self destructed. However, because of Sybil attack and hopping attack, Vanish is not safe, which was shown in [22] and later improved in [23]. Vanish employs the use of DHT to delete data, which takes advantage of the decentralization and large scale features of DHT to provide natural defenses for various attacks.…”

Section: Related Workmentioning

confidence: 99%

Emerge: Self-Emerging Data Release Using Cloud Data Storage

Palanisamy

2017

2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

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Abstract-In the age of Big Data, advances in distributed technologies and cloud storage services provide highly efficient and cost-effective solutions to large scale data storage and management. Supporting self-emerging data using clouds is a challenging problem. While straight-forward centralized approaches provide a basic solution to the problem, unfortunately they are limited to a single point of trust. Supporting attack-resilient timed release of encrypted data stored in clouds requires new mechanisms for self emergence of data encryption keys that enables encrypted data to become accessible at a future point in time. Prior to the release time, the encryption key remains undiscovered and unavailable in a secure distributed system, making the private data unavailable. In this paper, we propose Emerge, a self-emerging timed data release protocol for securely hiding data encryption keys of private encrypted data in a large-scale Distributed Hash Table (DHT) network that makes the data available and accessible only at the defined release time. We develop a suite of erasure-codingbased routing path construction schemes for securely storing and routing encryption keys in DHT networks that protect an adversary from inferring the encryption key prior to the release time (release-ahead attack) or from destroying the key altogether (drop attack). Through extensive experimental evaluation, we demonstrate that the proposed schemes are resilient to both release-ahead attack and drop attack as well as to attacks that arise due to traditional churn issues in DHT networks.

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“…Research efforts [22] have shown that Vanish is vulnerable to both Sybil attack and hopping attack. Susbequently, the SafeVanish model has been proposed by [25] to increase the cost required to effectively attack the Vanish protocol. Vanish and its similar schemes [15], [24] take significant advantage of the decentralization and large scale features of distributed network to provide natural defense to attacks.…”

Section: Related Workmentioning

confidence: 99%

Timed-Release of Self-Emerging Data Using Distributed Hash Tables

Palanisamy

2017

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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Abstract-Releasing private data to the future is a challenging problem. Making private data accessible at a future point in time requires mechanisms to keep data secure and undiscovered so that protected data is not available prior to the legitimate release time and the data appears automatically at the expected release time. In this paper, we develop new mechanisms to support self-emerging data storage that securely hide keys of encrypted data in a Distributed Hash Table (DHT) network that makes the encryption keys automatically appear at the predetermined release time so that the protected encrypted private data can be decrypted at the release time. We show that a straight-forward approach of privately storing keys in a DHT is prone to a number of attacks that could either make the hidden data appear before the prescribed release time (release-ahead attack) or destroy the hidden data altogether (drop attack). We develop a suite of self-emerging key routing mechanisms for securely storing and routing encryption keys in the DHT. We show that the proposed scheme is resilient to both release-ahead attack and drop attack as well as to attacks that arise due to traditional churn issues in DHT networks. Our experimental evaluation demonstrates the performance of the proposed schemes in terms of attack resilience and churn resilience.

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SafeVanish: An Improved Data Self-Destruction for Protecting Data Privacy

Cited by 47 publications

References 8 publications

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

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

Emerge: Self-Emerging Data Release Using Cloud Data Storage

Timed-Release of Self-Emerging Data Using Distributed Hash Tables

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