پایان نامه لاتین دکترا2015: به سمت سرویس های ذخیره سازی ابر امن
به سمت سرویس های ذخیره سازی ابر امنTowards secure cloud storage services
Abstract: Cloud computing is anticipated to revolutionize the Information and Communication Technology sector and has been a mainstream of research over the last decade. The cloud computing, upsurges the capabilities of the hardware resources by optimal and shared utilization. The above mentioned features encourage the organizations and individual users to shift their data, applications and services to the cloud. However, the services provided by third-party cloud service providers entail additional security threats.
Data being one of the prime assets of the organizations must be protected from all sorts of security threats. The data in the cloud is much more vulnerable to risks in terms of confidentiality, integrity, and availability in comparison to the conventional computing model. The ever increasing number of users and applications leads to enhanced security risks. Violation of integrity may also result from multi-tenant nature of the cloud. Employee of SaaS providers, having access to information may also act as a potential risk.
Considering the paramount importance of data security in the cloud environment, we propose methodologies towards the secure cloud storage services. We propose methodologies to secure: (a) Single user data, (b) Group shared data, and (c) approach security and performance collectively. We propose Data Security for Cloud Environment with Semi-trusted third party (DaSCE) protocol, a cloud storage security system that provide key management, access control, and file assured deletion. Parts of keys are stored at semi-trusted servers called key managers. The key management is accomplished using ( k, n ) threshold secret sharing mechanism. Finally, we present the DROPS methodology that collectively deals with the security and performance in terms of retrieval time. The data file is fragmented and the fragments are dispersed over multiple nodes. The nodes are separated by means of T-coloring. The fragmentation and dispersal ensures that no significant information is obtainable by an adversary in case of a successful attack. .
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پایان نامه لاتین دکترا2015: ارائه حفظ حریم خصوصی از ابرمسکونی (residential)
Providing privacy from the residential cloud
Abstract: The growth of mobile devices and computing has continued in recent years to the point where mobile network providers must not only upgrade their networks to serve the new traffic-intensive content that their users demand, but to actually turn to alternative methods of delivery, namely WiFi hotspots and femtocells. This demand is driven in part by the surge in streaming services, but also by the demand for ubiquitous access to data hosted in cloud services.
The increased connectivity has changed user expectations for access to their data. Cloud service providers have seen similar increases in their user bases as clients migrate from laptops and desktop computers to tablets and smartphones. The amounts of data and computation performed in cloud services has always been of interest to eavesdroppers, and their growth can only make it more valuable to them. In such a world, a growing dependency on centralized providers makes them single points of failures for privacy threats.
In this work we show our prototyping work implemented over our own testbed for residential devices that we will also use for implementation and evaluation, and describe the proposed work to solve the research problems emerging in this context. We illustrate the vulnerability of what is considered the most secure implementation of WiFi, and devise a novel attack using a multi-layered targeted approach that makes the attack hard to detect yet having long range and effectively invisible to the victim.
We present the OpenInfrastructure system, a home-broadband research platform built on off-the-shelf components and open source software deployed over 30 Access Points through Boston, Houston and San Francisco urban areas. The data obtained over the course of the project since February 2011 confirms the ongoing trends in home broadband Internet access, and highlights the feasibility of providing network access over home installations. Finally we show how to improve privacy in network access is illustrated using Private Information Retrieval techniques over installations of tens of millions of users. We implement and evaluate the performance of the PIR as an EAP protocol extension, making it readily usable by providers and clients
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