Searchable Symmetric Encryption
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Searchable Symmetric Encryption
Searchable symmetric encryption (SSE) is a form of encryption that allows one to efficiently search over a collection of encrypted documents or files without the ability to decrypt them. SSE can be used to outsource files to an untrusted cloud storage server without ever revealing the files in the clear but while preserving the server's ability to search over them. Description A searchable symmetric encryption scheme is a Symmetric-key algorithm, symmetric-key encryption scheme that encrypts a collection of documents \mathbf = (\mathrm, \dots, \mathrm), where each document \mathrm \subseteq \mathbb is viewed as a set of keywords from a keyword space \mathbb. Given the encryption key K and a keyword w \in \mathbb, one can generate a search token tk with which the encrypted data collection can be searched for w. The result of the search is the subset of encrypted documents that contain the keyword w. Static SSE A static SSE scheme consists of three algorithms \mathsf that work ...
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Searchable Symmetric Encryption (SSE) Scheme
A search engine is a software system designed to carry out Web search query, web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The Search engine results page, search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). When a user enters a query into a search engine, the engine scans its Search engine indexing, index of web pages to find those that are relevant to the user's query. The results are then ranked by relevancy and displayed to the user. The information may be a mix of links to web pages, images, videos, infographics, articles, research papers, and other types of files. Some search engines also data mining, mine data available in databases or open directories. Unlike web directories and social bookmarking, social bookmarking sites, which are maintained by human editors, search engines also maintain real-time computing, real-tim ...
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Michael Mitzenmacher
Michael David Mitzenmacher is an American computer scientist working in algorithms. He is Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and was area dean of computer science July 2010 to June 2013. He also runs My Biased Coin', a blog about theoretical computer science. Education In 1986, Mitzenmacher attended the Research Science Institute. Mitzenmacher earned his AB at Harvard, where he was on the team that won the 1990 North American Collegiate Bridge Championship. He attended the University of Cambridge on a Churchill Scholarship from 1991–1992. Mitzenmacher received his PhD in computer science at the University of California, Berkeley in 1996 under the supervision of Alistair Sinclair. He joined Harvard University in 1999. Research Mitzenmacher’s research covers the design an analysis of randomised algorithms and processes. With Eli Upfal he is the author of a textbook on randomized algorithms and proba ...
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Homomorphic Encryption
Homomorphic encryption is a form of encryption that permits users to perform computations on its encrypted data without first decrypting it. These resulting computations are left in an encrypted form which, when decrypted, result in an identical output to that produced had the operations been performed on the unencrypted data. Homomorphic encryption can be used for privacy-preserving outsourced storage and computation. This allows data to be encrypted and out-sourced to commercial cloud environments for processing, all while encrypted. For sensitive data, such as health care information, homomorphic encryption can be used to enable new services by removing privacy barriers inhibiting data sharing or increase security to existing services. For example, predictive analytics in health care can be hard to apply via a third party service provider due to medical data privacy concerns, but if the predictive analytics service provider can operate on encrypted data instead, these priva ...
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Steven M
Stephen or Steven is a common English first name. It is particularly significant to Christians, as it belonged to Saint Stephen ( grc-gre, Στέφανος ), an early disciple and deacon who, according to the Book of Acts, was stoned to death; he is widely regarded as the first martyr (or "protomartyr") of the Christian Church. In English, Stephen is most commonly pronounced as ' (). The name, in both the forms Stephen and Steven, is often shortened to Steve or Stevie. The spelling as Stephen can also be pronounced which is from the Greek original version, Stephanos. In English, the female version of the name is Stephanie. Many surnames are derived from the first name, including Stephens, Stevens, Stephenson, and Stevenson, all of which mean "Stephen's (son)". In modern times the name has sometimes been given with intentionally non-standard spelling, such as Stevan or Stevon. A common variant of the name used in English is Stephan ; related names that have found some curr ...
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Tal Malkin
Tal Geula Malkin (born 1970) is an Israeli-American cryptographer who works as a professor of computer science at Columbia University, where she heads the Cryptography Lab and the Data Science Institute Cybersecurity Center. Education and career Malkin graduated summa cum laude from Bar-Ilan University in 1993, with a bachelor's degree in mathematics and computer science. She earned a master's degree in computer science from Weizmann Institute of Science in 1995, with the master's thesis ''Deductive Tableaux for Temporal Logic'' supervised by Amir Pnueli, and completed a Ph.D. in 2000 at the Massachusetts Institute of Technology with the dissertation ''A Study of Secure Database Access and General Two-Party Computation'' supervised by Shafi Goldwasser. As a doctoral student, she also worked as an intern for IBM Research at the Thomas J. Watson Research Center, and as a research scientist for AT&T Labs, continuing there through 2002. In 2003 she joined Columbia University as an as ...
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Hugo Krawczyk
Hugo Krawczyk is an Argentine-Israeli cryptographer best known for co-inventing the HMAC message authentication algorithm and contributing in fundamental ways to the cryptographic architecture of central Internet standards, including IPsec, IKE, and SSL/TLS, in particular, both IKEv2 and TLS 1.3 use Krawczyk’s SIGMA protocol as the cryptographic core of their key exchange procedures. He has also contributed foundational work in the areas of threshold and proactive cryptosystems and searchable symmetric encryption, among others. Education Krawczyk acquired a Bachelor of Arts in Mathematics from the University of Haifa. Later he received his Master of Science and Ph.D. in Computer Science from Technion - Israel Institute of Technology with Oded Goldreich as doctoral thesis advisor. Career Hugo Krawczyk is a Research Fellow at the Algorand Foundation. Prior to that, he was an IBM Fellow and Distinguished Research Staff Member at the IBM T.J. Watson Research Center in New ...
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