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Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
Achieving Practical Symmetric Searchable Encryption with Search
Pattern Privacy over Cloud
Abstract:
Dynamic symmetric searchable encryption (SSE), which enables a data user to securely search
and dynamically update the encrypted documents stored in a semi-trusted cloud server, has
received considerable attention in recent years. However, the search and update operations in
many previously reported SSE schemes will bring some additional privacy leakages, e.g., search
pattern privacy, forward privacy and backward privacy. To the best of our knowledge, none of
the existing dynamic SSE schemes preserves the search pattern privacy, and many backward
private SSE schemes still leak some critical information, e.g., the identifiers containing a specific
keyword currently in the database. Therefore, aiming at the above challenges, in this paper, we
design a practical SSE scheme, which not only supports the search pattern privacy but also
enhances the backward privacy. Specifically, we first leverage the k-anonymity and encryption
to design an obfuscating technique. Then, based on the obfuscating technique, pseudorandom
function and pseudorandom generator, we design a basic dynamic SSE scheme to support single
keyword queries and simultaneously achieve search pattern privacy and enhanced backward
privacy. Furthermore, we also extend our proposed scheme to support more efficient boolean
queries. Security analysis demonstrates that our proposed scheme can achieve the desired
privacy properties, and the extensive performance evaluations also show that our proposed
scheme is indeed efficient in terms of communication overhead and computational cost.
Index Terms—Dynamic SSE, search pattern privacy, enhanced backward privacy, boolean
query.
Existing System:
Dynamic symmetric searchable encryption (SSE), which enables a data user to securely search
and dynamically update the encrypted documents stored in a semi-trusted cloud server, has
received considerable attention in recent years. However, the search and update operations in
many previously reported SSE schemes will bring some additional privacy leakages, e.g., search
pattern privacy, forward privacy and backward privacy. To the best of our knowledge, none of
the existing dynamic SSE schemes preserves the search pattern privacy, and many backward
Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
private SSE schemes still leak some critical information, e.g., the identifiers containing a specific
keyword currently in the database.
Proposed System:
In this paper, we design a practical SSE scheme, which not only supports the search pattern
privacy but also enhances the backward privacy. Specifically, we first leverage the k-anonymity
and encryption to design an obfuscating technique. Then, based on the obfuscating technique,
pseudorandom function and pseudorandom generator, we design a basic dynamic SSE scheme to
support single keyword queries and simultaneously achieve search pattern privacy and enhanced
backward privacy. Furthermore, we also extend our proposed scheme to support more efficient
boolean queries. Security analysis demonstrates that our proposed scheme can achieve the
desired privacy properties, and the extensive performance evaluations also show that our
proposed scheme is indeed efficient in terms of communication overhead and computational
cost.
System Model:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : - Windows.
• Coding Language : JAVA/J2EE
• Data Base : MYSQL
• IDE :NetBeans8.1

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2.achieving practical symmetric searchable encryption with search pattern privacy over cloud

  • 1. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com Achieving Practical Symmetric Searchable Encryption with Search Pattern Privacy over Cloud Abstract: Dynamic symmetric searchable encryption (SSE), which enables a data user to securely search and dynamically update the encrypted documents stored in a semi-trusted cloud server, has received considerable attention in recent years. However, the search and update operations in many previously reported SSE schemes will bring some additional privacy leakages, e.g., search pattern privacy, forward privacy and backward privacy. To the best of our knowledge, none of the existing dynamic SSE schemes preserves the search pattern privacy, and many backward private SSE schemes still leak some critical information, e.g., the identifiers containing a specific keyword currently in the database. Therefore, aiming at the above challenges, in this paper, we design a practical SSE scheme, which not only supports the search pattern privacy but also enhances the backward privacy. Specifically, we first leverage the k-anonymity and encryption to design an obfuscating technique. Then, based on the obfuscating technique, pseudorandom function and pseudorandom generator, we design a basic dynamic SSE scheme to support single keyword queries and simultaneously achieve search pattern privacy and enhanced backward privacy. Furthermore, we also extend our proposed scheme to support more efficient boolean queries. Security analysis demonstrates that our proposed scheme can achieve the desired privacy properties, and the extensive performance evaluations also show that our proposed scheme is indeed efficient in terms of communication overhead and computational cost. Index Terms—Dynamic SSE, search pattern privacy, enhanced backward privacy, boolean query. Existing System: Dynamic symmetric searchable encryption (SSE), which enables a data user to securely search and dynamically update the encrypted documents stored in a semi-trusted cloud server, has received considerable attention in recent years. However, the search and update operations in many previously reported SSE schemes will bring some additional privacy leakages, e.g., search pattern privacy, forward privacy and backward privacy. To the best of our knowledge, none of the existing dynamic SSE schemes preserves the search pattern privacy, and many backward
  • 2. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com private SSE schemes still leak some critical information, e.g., the identifiers containing a specific keyword currently in the database. Proposed System: In this paper, we design a practical SSE scheme, which not only supports the search pattern privacy but also enhances the backward privacy. Specifically, we first leverage the k-anonymity and encryption to design an obfuscating technique. Then, based on the obfuscating technique, pseudorandom function and pseudorandom generator, we design a basic dynamic SSE scheme to support single keyword queries and simultaneously achieve search pattern privacy and enhanced backward privacy. Furthermore, we also extend our proposed scheme to support more efficient boolean queries. Security analysis demonstrates that our proposed scheme can achieve the desired privacy properties, and the extensive performance evaluations also show that our proposed scheme is indeed efficient in terms of communication overhead and computational cost. System Model: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:
  • 3. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Ram : 512 Mb. SOFTWARE REQUIREMENTS: • Operating system : - Windows. • Coding Language : JAVA/J2EE • Data Base : MYSQL • IDE :NetBeans8.1