Twin Clouds: Secure Cloud Computing with Low Latency

Bugiel, Sven; Nürnberger, Stefan; Sadeghi, Ahmad-Reza; Schneider, Thomas

doi:10.1007/978-3-642-24712-5_3

Cited by 63 publications

(34 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are also several implementations besides ours [48,57,52,53,10], and architectural contributions [11]. Some applicationspecific solutions exist as well, such as algebraic computations [8], polynomial evaluation [23,7], map-reduce [61], sequence comparisons [3], linear programming [60], modular exponentiation [34,18], and outsourcing to sensor devices [32].…”

Section: Related Workmentioning

confidence: 99%

Incentivized Outsourced Computation Resistant to Malicious Contractors

Küpçü

2017

IEEE Trans. Dependable and Secure Comput.

View full text Add to dashboard Cite

With the rise of Internet computing, outsourcing difficult computational tasks became an important need. Yet, once the computation is outsourced, the job owner loses control, and hence it is crucial to provide guarantees against malicious actions of the contractors involved. Cryptographers have an almost perfect solution, called fully homomorphic encryption, to this problem. This solution hides both the job itself and any inputs to it from the contractors, while still enabling them to perform the necessary computation over the encrypted data. This is a very strong security guarantee, but the current constructions are highly impractical.In this paper, we propose a different approach to outsourcing computational tasks. We are not concerned with hiding the job or the data, but our main task is to ensure that the job is computed correctly. We also observe that not all contractors are malicious; rather, majority are rational. Thus, our approach brings together elements from cryptography, as well as game theory and mechanism design. We achieve the following results: (1) We incentivize all the rational contractors to perform the outsourced job correctly, (2) we guarantee high fraction (e.g., 99.9%) of correct results even in the existence of a relatively large fraction (e.g., 33%) of malicious irrational contractors in the system, (3) and we show that our system achieves these while being almost as efficient as running the job locally (e.g., with only 3% overhead). Such a high correctness guarantee was not known to be achieved with such efficiency.

show abstract

Section: Related Workmentioning

confidence: 99%

Incentivized Outsourced Computation Resistant to Malicious Contractors

Küpçü

2017

IEEE Trans. Dependable and Secure Comput.

View full text Add to dashboard Cite

show abstract

“…In the Twin clouds [32] secure cloud computing architecture, the client uses a private cloud for creating garbled circuits and a public commodity cloud for evaluating them. Our solution, however, utilizes multiple public cloud servers for creating as well as evaluating the garbled circuits.…”

Section: Related Workmentioning

confidence: 99%

Supporting Privacy of Computations in Mobile Big Data Systems

Premnath

Haas

2016

Future Internet

View full text Add to dashboard Cite

Cloud computing systems enable clients to rent and share computing resources of third party platforms, and have gained widespread use in recent years. Numerous varieties of mobile, small-scale devices such as smartphones, red e-health devices, etc., across users, are connected to one another through the massive internetwork of vastly powerful servers on the cloud. While mobile devices store "private information" of users such as location, payment, health data, etc., they may also contribute "semi-public information" (which may include crowdsourced data such as transit, traffic, nearby points of interests, etc.) for data analytics. In such a scenario, a mobile device may seek to obtain the result of a computation, which may depend on its private inputs, crowdsourced data from other mobile devices, and/or any "public inputs" from other servers on the Internet. We demonstrate a new method of delegating real-world computations of resource-constrained mobile clients using an encrypted program known as the garbled circuit. Using the garbled version of a mobile client's inputs, a server in the cloud executes the garbled circuit and returns the resulting garbled outputs. Our system assures privacy of the mobile client's input data and output of the computation, and also enables the client to verify that the evaluator actually performed the computation. We analyze the complexity of our system. We measure the time taken to construct the garbled circuit as well as evaluate it for varying number of servers. Using real-world data, we evaluate our system for a practical, privacy preserving search application that locates the nearest point of interest for the mobile client to demonstrate feasibility.

show abstract

“…But only identify the actual user does not all times give relief from data hacking or intruding data or information saved in the database of cloud environment. Yao's Garbled Circuit is used for secure data saving in cloud servers [13,14]. But it is also an identification based work.…”

Section: Related Workmentioning

confidence: 99%

A Newer Secure Communication, File Encryption and User Identification based Cloud Security Architecture

ShekhaKar¹,

Mahmud²,

Farjana³

et al. 2012

IJCA

View full text Add to dashboard Cite

Cloud computing platform gives people the opportunity for sharing resources, services and information among the people of the whole world. In private cloud system, information is shared among the persons who are in that cloud. Because of this, different security related problems have grown in this platform. This paper work has proposed newer security architecture for cloud computing platform, which ensures secured communication system and hiding information from others. DES based file encryption system and asynchronous key system for exchanging information or data is included in this model. This structure is easily applicable with main cloud computing features, e.g. PaaS, SaaS and IaaS. This model also includes unique encryption key for user authentication process. El Gamal has been proposed in this paper for secured communication between users and cloud storage system. This paper work mainly deals with providing security for files stored in cloud computing archtecture.

show abstract

Twin Clouds: Secure Cloud Computing with Low Latency

Cited by 63 publications

References 29 publications

Incentivized Outsourced Computation Resistant to Malicious Contractors

Incentivized Outsourced Computation Resistant to Malicious Contractors

Supporting Privacy of Computations in Mobile Big Data Systems

A Newer Secure Communication, File Encryption and User Identification based Cloud Security Architecture

Contact Info

Product

Resources

About