Results 1 - 10
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342
Hippocratic databases
- In 28th Int’l Conference on Very Large Databases, Hong Kong
, 2002
"... The Hippocratic Oath has guided the conduct of physicians for centuries. Inspired by its tenet of preserving privacy, we argue that future database systems must include responsibility for the privacy of data they manage as a founding tenet. We enunciate the key privacy principles for such Hippocrati ..."
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Cited by 252 (17 self)
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The Hippocratic Oath has guided the conduct of physicians for centuries. Inspired by its tenet of preserving privacy, we argue that future database systems must include responsibility for the privacy of data they manage as a founding tenet. We enunciate the key privacy principles for such Hippocratic database systems. We propose a strawman design for Hippocratic databases, identify the technical challenges and problems in designing such databases, and suggest some approaches that may lead to solutions. Our hope is that this paper will serve to catalyze a fruitful and exciting direction for future database research. 1
Order Preserving Encryption for Numeric Data
, 2004
"... Encryption is a well established technology for protecting sensitive data. However, once encrypted, data can no longer be easily queried aside from exact matches. We present an order-preserving encryption scheme for numeric data that allows any comparison operation to be directly applied on encrypte ..."
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Cited by 210 (2 self)
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Encryption is a well established technology for protecting sensitive data. However, once encrypted, data can no longer be easily queried aside from exact matches. We present an order-preserving encryption scheme for numeric data that allows any comparison operation to be directly applied on encrypted data. Query results produced are sound (no false hits) and complete (no false drops). Our scheme handles updates gracefully and new values can be added without requiring changes in the encryption of other values. It allows standard database indexes to be built over encrypted tables and can easily be integrated with existing database systems. The proposed scheme has been designed to be deployed in application environments in which the intruder can get access to the encrypted database, but does not have prior domain information such as the distribution of values and cannot encrypt or decrypt arbitrary values of his choice. The encryption is robust against estimation of the true value in such environments.
Scalable and efficient provable data possession
- Proceedings of SecureComm 2008
"... Storage outsourcing is a rising trend which prompts a number of interesting security issues, many of which have been extensively investigated in the past. However, Provable Data Possession (PDP) is a topic that has only recently appeared in the research literature. The main issue is how to frequentl ..."
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Cited by 158 (3 self)
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Storage outsourcing is a rising trend which prompts a number of interesting security issues, many of which have been extensively investigated in the past. However, Provable Data Possession (PDP) is a topic that has only recently appeared in the research literature. The main issue is how to frequently, efficiently and securely verify that a storage server is faithfully storing its client’s (potentially very large) outsourced data. The storage server is assumed to be untrusted in terms of both security and reliability. (In other words, it might maliciously or accidentally erase hosted data; it might also relegate it to slow or off-line storage.) The problem is exacerbated by the client being a small computing device with limited resources. Prior work has addressed this problem using either public key cryptography or requiring the client to outsource its data in encrypted form. In this paper, we construct a highly efficient and provably secure PDP technique based entirely on symmetric key cryptography, while not requiring any bulk encryption. Also, in contrast with its predecessors, our PDP technique allows outsourcing of dynamic data, i.e, it efficiently supports operations, such as block modification, deletion and append. 1.
Authentication and Integrity in Outsourced Databases
, 2004
"... In the Outsourced Database (ODB) model, organizations outsource their data management needs to an external service provider. The service provider hosts clients' databases and offers seamless mechanisms to create, store, update and access (query) their databases. This model introduces several re ..."
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Cited by 143 (8 self)
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In the Outsourced Database (ODB) model, organizations outsource their data management needs to an external service provider. The service provider hosts clients' databases and offers seamless mechanisms to create, store, update and access (query) their databases. This model introduces several research issues related to data security. One of the core security requirements is providing efficient mechanisms to ensure data integrity and authenticity while incurring minimal computation and bandwidth overhead. In this work, we investigate the problem of ensuring data integrity and suggest secure and practical schemes that help facilitate authentication of query replies. We explore the applicability of popular digital signature schemes (RSA and DSA) as well as a recently proposed scheme due to Boneh et al. [1] and present their performance measurements.
CryptDB: Protecting confidentiality with encrypted query processing
- In SOSP
, 2011
"... Online applications are vulnerable to theft of sensitive information because adversaries can exploit software bugs to gain access to private data, and because curious or malicious administrators may capture and leak data. CryptDB is a system that provides practical and provable confidentiality in th ..."
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Cited by 124 (8 self)
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Online applications are vulnerable to theft of sensitive information because adversaries can exploit software bugs to gain access to private data, and because curious or malicious administrators may capture and leak data. CryptDB is a system that provides practical and provable confidentiality in the face of these attacks for applications backed by SQL databases. It works by executing SQL queries over encrypted data using a collection of efficient SQL-aware encryption schemes. CryptDB can also chain encryption keys to user passwords, so that a data item can be decrypted only by using the password of one of the users with access to that data. As a result, a database administrator never gets access to decrypted data, and even if all servers are compromised, an adversary cannot decrypt the data of any user who is not logged in. An analysis of a trace of 126 million SQL queries from a production MySQL server shows that CryptDB can support operations over encrypted data for 99.5% of the 128,840 columns seen in the trace. Our evaluation shows that CryptDB has low overhead, reducing throughput by 14.5 % for phpBB, a web forum application, and by 26 % for queries from TPC-C, compared to unmodified MySQL. Chaining encryption keys to user passwords requires 11–13 unique schema annotations to secure more than 20 sensitive fields and 2–7 lines of source code changes for three multi-user web applications.
Multi-dimension range query over encrypted data
- In IEEE Symposium on Security and Privacy
, 2007
"... encryption We design an encryption scheme called Multi-dimensional Range Query over Encrypted Data (MRQED), to address the privacy concerns related to the sharing of network audit logs and various other applications. Our scheme allows a network gateway to encrypt summaries of network flows before su ..."
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Cited by 112 (5 self)
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encryption We design an encryption scheme called Multi-dimensional Range Query over Encrypted Data (MRQED), to address the privacy concerns related to the sharing of network audit logs and various other applications. Our scheme allows a network gateway to encrypt summaries of network flows before submitting them to an untrusted repository. When network intrusions are suspected, an authority can release a key to an auditor, allowing the auditor to decrypt flows whose attributes (e.g., source and destination addresses, port numbers, etc.) fall within specific ranges. However, the privacy of all irrelevant flows are still preserved. We formally define the security for MRQED and prove the security of our construction under the decision bilinear Diffie-Hellman and decision linear assumptions in certain bilinear groups. We study the practical performance of our construction in the context of network audit logs. Apart from network audit logs, our scheme also has interesting applications for financial audit logs, medical privacy, untrusted remote storage, etc. In particular, we show that MRQED implies a solution to its dual problem, which enables investors to trade stocks through a broker in a privacy-preserving manner. 1
Dynamic Authenticated Index Structures for Outsourced Databases
- In SIGMOD
, 2006
"... Abstract. In an outsourced database (ODB) system the database owner publishes data through a number of remote servers, with the goal of enabling clients at the edge of the network to access and query the data more efficiently. As servers might be untrusted or can be compromised, query authentication ..."
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Cited by 111 (9 self)
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Abstract. In an outsourced database (ODB) system the database owner publishes data through a number of remote servers, with the goal of enabling clients at the edge of the network to access and query the data more efficiently. As servers might be untrusted or can be compromised, query authentication becomes an essential component of ODB systems. In this chapter we present three techniques to authenticate selection range queries and we analyze their performance over different cost metrics. In addition, we discuss extensions to other query types. 1
Data management in the cloud: Limitation and Opportunities
, 2009
"... Recently the cloud computing paradigm has been receiving significant excitement and attention in the media and blogosphere. To some, cloud computing seems to be little more than a marketing umbrella, encompassing topics such as distributed computing, grid computing, utility computing, and softwareas ..."
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Cited by 82 (0 self)
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Recently the cloud computing paradigm has been receiving significant excitement and attention in the media and blogosphere. To some, cloud computing seems to be little more than a marketing umbrella, encompassing topics such as distributed computing, grid computing, utility computing, and softwareas-a-service, that have already received significant research focus and commercial implementation. Nonetheless, there exist an increasing number of large companies that are offering cloud computing infrastructure products and services that do not entirely resemble the visions of these individual component topics. In this article we discuss the limitations and opportunities of deploying data management issues on these emerging cloud computing platforms (e.g., Amazon Web Services). We speculate that large scale data analysis tasks, decision support systems, and application specific data marts are more likely to take advantage of cloud computing platforms than operational, transactional database systems (at least initially). We present a list of features that a DBMS designed for large scale data analysis tasks running on an Amazon-style offering should contain. We then discuss some currently available open source and commercial database options that can be used to perform such analysis tasks, and conclude that none of these options, as presently architected, match the requisite features. We thus express the need for a new DBMS, designed specifically for cloud computing environments. 1
Query Execution Assurance for Outsourced Databases
, 2005
"... In this paper we propose and analyze a method for proofs of actual query execution in an outsourced database framework, in which a client outsources its data management needs to a specialized provider. The solution is not limited to simple selection predicate queries but handles arbitrary quer ..."
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Cited by 74 (4 self)
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In this paper we propose and analyze a method for proofs of actual query execution in an outsourced database framework, in which a client outsources its data management needs to a specialized provider. The solution is not limited to simple selection predicate queries but handles arbitrary query types. While this work focuses mainly on read-only, computeintensive (e.g. data-mining) queries, it also provides preliminary mechanisms for handling data updates (at additional costs). We introduce query execution proofs; for each executed batch of queries the database service provider is required to provide a strong cryptographic proof that provides assurance that the queries were actually executed correctly over their entire target data set. We implement a proof of concept and present experimental results in a real-world data mining application, proving the deployment feasibility of our solution. We analyze the solution and show that its overheads are reasonable and are far outweighed by the added security benefits. For example an assurance level of over 95% can be achieved with less than 25% execution time overhead.
Two can keep a secret: A distributed architecture for secure database services
- In Proc. CIDR
, 2005
"... Recent trends towards database outsourcing, as well as concerns and laws governing data privacy, have led to great interest in enabling secure database services. Previous approaches to enabling such a service have been based on data encryption, causing a large overhead in query processing. We propos ..."
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Cited by 57 (7 self)
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Recent trends towards database outsourcing, as well as concerns and laws governing data privacy, have led to great interest in enabling secure database services. Previous approaches to enabling such a service have been based on data encryption, causing a large overhead in query processing. We propose a new, distributed architecture that allows an organization to outsource its data management to two untrusted servers while preserving data privacy. We show how the presence of two servers enables efficient partitioning of data so that the contents at any one server are guaranteed not to breach data privacy. We show how to optimize and execute queries in this architecture, and discuss new challenges that emerge in designing the database schema. 1
