Abstract-TrustedDB is an outsourced database prototype that allows clients to execute SQL queries with privacy and under regulatory compliance constraints without having to trust the service provider. TrustedDB achieves this by leveraging server-hosted tamper-proof trusted hardware in critical query processing stages.TrustedDB does not limit the query expressiveness of supported queries. And, despite the cost overhead and performance limitations of trusted hardware, the costs per query are orders of magnitude lower than any (existing or) potential future software-only mechanisms. TrustedDB is built and runs on actual hardware, and its performance and costs are evaluated here. I. OVERVIEWOutsourcing has finally arrived, due in no small part to the availability of cheap high speed networks, storage and CPUs. Clients can now minimize their management overheads and virtually eliminate infrastructure costs Virtually all major "cloud" providers today offer a database service of some kind as part of their overall solution. Numerous startups also feature more targeted data management and/or database platforms.Yet, significant challenges lie in the path of large-scale adoption. Such services often require their customers to inherently trust the provider with full access to the outsourced datasets. But numerous instances of illicit insider behavior or data leaks have left clients reluctant to place sensitive data under the control of a remote, third-party provider, without practical assurances of privacy and confidentiality -especially in business, healthcare and government frameworks. And today's privacy guarantees of such services are at best declarative and subject customers to unreasonable fine-print clauses -e.g., allowing the server operator (or malicious attackers gaining access to its systems) to use customer behavior and content for commercial, profiling, or governmental surveillance purposes [5,6].Existing research addresses several such outsourcing security aspects, including access privacy, searches on encrypted data, range queries, and aggregate queries. To achieve privacy, in most of these efforts data is encrypted before outsourcing. Once encrypted however, inherent limitations in the types of primitive operations that can be performed on encrypted data lead to fundamental expressiveness and practicality constraints.Recent theoretical cryptography results provide hope by proving the existence of universal homomorphisms, i.e., encryption mechanisms that allow computation of arbitrary functions without decrypting the inputs [12]. Unfortunately actual instances of such mechanisms seem to be decades away from being practical [7].Ideas have also been proposed to leverage tamper-proof hardware to privately process data server-side, ranging from smartcard deployment [9] in healthcare, to more general database operations [3,8,10].Yet, common wisdom so far has been that trusted hardware is generally impractical due to its performance limitations and higher acquisition costs. As a result, with very few exceptions [9]...

The paper aims at identifying factors that stimulates the customers to adopt and use OTT video streaming platforms in India by applying unified theory of acceptance and use of technology 2 (UTAUT2) model. The study has also attempted to check the moderation effect of age, gender, experience. The study uses a questionnaire to gather the primary data of 277 users of OTT video streaming platforms of India as respondents. The data was examined using SmartPLS 3.3.2 software. The key drivers of adopting and using OTT video streaming platforms are performance expectancy, price value, habit and content availability. The study approves the relevance of UTAUT2 model in the present context. The study also explains the moderating effect of gender, experience and age in UTAUT2 model constructs with respect to OTT video streaming platforms. The market of OTT platforms in India is growing tremendously and is projected to gain the momentum in coming years. Thus, it is imperious to comprehend the behavioral intention of consumers. The outcomes of the study will help the managers in comprehending and devising different strategies for consumers of OTT video streaming platforms. The study is first ever attempt to the best understanding of research to observe the acceptance of OTT video streaming apps using UTAUT2 model.

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The way data structures organize data is often a function of the sequence of past operations. The organization of data is referred to as the data structure's state, and the sequence of past operations constitutes the data structure's history. A data structure state can therefore be used as an oracle to derive information about its history. As a result, for history-sensitive applications, such as privacy in e-voting, incremental signature schemes, and regulatory compliant data retention; it is imperative to conceal historical information contained within data structure states.Data structure history can be hidden by making data structures history independent. In this paper, we explore how to achieve history independence.We observe that current history independence notions are significantly limited in number and scope. There are two existing notions of history independence -weak history independence (WHI) and strong history independence (SHI). WHI does not protect against insider adversaries and SHI mandates canonical representations, resulting in inefficiency.We postulate the need for a broad, encompassing notion of history independence, which can capture WHI, SHI, and a broad spectrum of new history independence notions. To this end, we introduce ∆history independence (∆HI), a generic game-based framework that is malleable enough to accommodate existing and new history independence notions.As an essential step towards formalizing ∆HI, we explore the concepts of abstract data types, data structures, machine models, memory representations and history independence. Finally, to bridge the gap between theory and practice, we outline a general recipe for building end-to-end, history independent systems and demonstrate the use of the recipe in designing two history independent file systems.

TrustedDB is an outsourced database prototype that allows clients to execute SQL queries with privacy and under regulatory compliance constraints without having to trust the service provider. TrustedDB achieves this by leveraging server-hosted tamper-proof trusted hardware in critical query processing stages.TrustedDB does not limit the query expressiveness of supported queries. And, despite the cost overhead and performance limitations of trusted hardware, the costs per query are orders of magnitude lower than any (existing or) potential future software-only mechanisms. TrustedDB is built and runs on actual hardware, and its performance and costs are evaluated here.