Trusted db a trusted hardware based database with privacy and data confidentiality Traditionally, as soon as confidentiality becomes a concern, data are encrypted before outsourcing to a service provider. Any software-based cryptographic constructs then deployed, for server-side query processing on the encrypted data, inherently limit query expressiveness

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6. TrustedDB: A Trusted Hardware-Based Database with
Privacy and Data Confidentiality
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7. Abstract
Traditionally, as soon as confidentiality becomes a concern, data are
encrypted before outsourcing to a service provider. Any software-based
cryptographic constructs then deployed, for server-side query processing on
the encrypted data, inherently limit query expressiveness. Here, we
introduce TrustedDB, an outsourced database prototype that allows clients
to execute SQL queries with privacy and under regulatory compliance
constraints by leveraging server-hosted, tamper-proof trusted hardware in
critical query processing stages, thereby removing any limitations on the
type of supported queries. Despite the cost overhead and performance
limitations of trusted hardware, we show that 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.

8. Introduction
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 to use customer behavior and
content for commercial, profiling, or governmental surveillance purposes.
.

9. EXISTING SYSTEM
• 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. Unfortunately actual instances of such mechanisms seem to be
decades away from being practical.

10. Disadvantages
• This mechanisms allow computation of arbitrary functions without
decrypting the inputs

11. PROPOSED SYSTEM
Ideas have also been proposed to leverage tamper-proof hardware to privately
process data server-side, ranging from smartcard deployment in healthcare, to
more general database operations. 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, these efforts
have stopped short of proposing or building full-fledged database processing
engines. However, recent insights into the cost-performance trade-off seem to
suggest that things stand somewhat differently. Specifically, at scale, in
outsourced contexts, computation inside secure processors is orders of
magnitude cheaper than any equivalent cryptographic operation performed on
the provider’s unsecured common server hardware, despite the overall greater
acquisition cost of secure hardware.

12. Advantages
• No limitations on query expressiveness.
• This work’s inherent thesis is that, at scale, in outsourced
contexts, computation inside secure hardware processors is
orders of magnitude cheaper than any equivalent
cryptography performed on a provider’s unsecured
common server.
• Overall greater acquisition cost of secure hardware.

13. Architecture
TrustedDB is built around a set of core
components including a request handler, a
processing agent and communication conduit, a
query parser, a paging module, a query dispatch
module, a cryptography library, and two
database engines. While presenting a detailed
architectural blueprint is not possible in this
space, in the following we discuss some of the
key elements and challenges faced in designing
and building TrustedDB.
Reference
G. Aggarwal, M. Bawa, P. Ganesan, H. Garcia-Molina, K.
Kenthapadi, R. Motwani, U. Srivastava, D. Thomas and Y. Xu,
&ldquo,Two Can Keep a Secret: A Distributed Architecture for
Secure Database Services,&rdquo, Proc. Conf. Innovative Data
Systems Research (CIDR), pp. 186-199, 2005.

14. Hardware Specification
Processor : Any Processor above 500 MHz.
Ram : 128Mb.
Hard Disk : 10 Gb.
Compact Disk : 650 Mb.
Input device : Standard Keyboard and Mouse.
Output device : VGA and High Resolution Monitor.

15. Software Specification
Operating System : Windows Family.
Programming Language : ASP.NET, C#.Net.
Database : SQL Server 2005

16. TrustedDB: A Trusted Hardware-Based Database with
Privacy and Data Confidentiality
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