'Bloom filter' diaporamas de présentation

Towards Managing Complex Data Sharing Policies with the Min Mask Sketch

Towards Managing Complex Data Sharing Policies with the Min Mask Sketch. Stephen Smart & Christan Grant IRI 2017. What are data sharing policies ?. What are data sharing policies?. A sharing policy is a set of expressions that describe how, when, and what data can be accessed. Examples:

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????????????????. ????? ??????? ?????????? / ??????? E-mail: nfhuang@cs.nthu.edu.tw. Agenda. Introduction of Network Security Content Inspection Technologies Pattern Matching Algorithms Flow Classification by Stateful Mechanism Open Issues. -- ?????? --.

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Measurement Algorithms: Bloom Filters and Beyond

Measurement Algorithms: Bloom Filters and Beyond. George Varghese University of California, San Diego. Network Evolution?. Basic : stateless, transparent. Tools: protocol design (e.g., soft-state) 2. Active : customizable, re-configurable Tools : Code Safety (e.g., sandboxing)

551 views • 46 slides

Notary: Hardware Techniques to Enhance Signatures

Notary: Hardware Techniques to Enhance Signatures. Luke Yen Collaborator: Prof. Stark C. Draper Advisor: Prof. Mark D. Hill University of Wisconsin, Madison MICRO-41 - November 11, 2008 www.cs.wisc.edu/multifacet/papers/micro08_notary.pdf. Executive Summary.

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Implementing Signatures for Transactional Memory

Implementing Signatures for Transactional Memory. Daniel Sanchez , Luke Yen, Mark Hill, Karu Sankaralingam . University of Wisconsin-Madison. Executive summary. Several TM systems use signatures : Represent unbounded read/write sets in bounded state

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experience-based access management & privacy-preserving record linkage

experience-based access management & privacy-preserving record linkage. elizabeth ashley durham thursday , november 11, 2010. roadmap. experience-based access management privacy-preserving record linkage definition steps in record linkage experiment conclusions

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experience-based access management & privacy-preserving record linkage

experience-based access management & privacy-preserving record linkage. elizabeth ashley durham thursday , november 11, 2010. roadmap. experience-based access management privacy-preserving record linkage definition steps in record linkage experiment conclusions

532 views • 35 slides

Limits of Data Structures

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CS 430 / INFO 430 Information Retrieval

CS 430 / INFO 430 Information Retrieval. Lecture 7 String Processing. Course administration. Query Language. A query language defines the syntax and the semantics of the queries in a given search system. Factors to consider in designing a query language include: Service needs

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Date

XML processing in DHT networks Serge Abiteboul, Ioana Manolescu, Neoklis Polyzotis, Nicoleta Preda, Chong Sun INRIA-Saclay & UC Santa-Cruz. Date. 1. Outline. Topic KadoP System Overview of DHT Query evaluation Optimization techniques DPP: Distributed postings partitioning

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Transactional Locking II

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Memory-Efficient 5D Packet Classification At 40 Gbps

Memory-Efficient 5D Packet Classification At 40 Gbps. Authors: Ioannis Papaefstathiou, and Vassilis Papaefstathiou Publisher: IEEE INFOCOM 2007 Presenter: Yu-Tso Chen Date: July, 09, 2008. Outline. Introduction BSPC Design Simulation Results. Introduction.

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BUFFALO: Bloom Filter Forwarding Architecture for Large Organizations

BUFFALO: Bloom Filter Forwarding Architecture for Large Organizations . Minlan Yu Princeton University minlanyu@cs.princeton.edu Joint work with Alex Fabrikant, Jennifer Rexford. Large-scale SPAF Networks. Large layer-2 network on flat addresses Simple for configuration and management

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Forwarding in Content-Oriented Networks: Challenges and Probabilistic approaches

Forwarding in Content-Oriented Networks: Challenges and Probabilistic approaches. Christian Esteve Rothenb erg University of Campinas ( Unicamp ). 05.12.10 - 08.12.10, Seminar 10492 Information-Centric Networking. Intro. Back in early 2008: At University of Campinas, .

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DiPIT : a Distributed Bloom-Filter based PIT Table

DiPIT : a Distributed Bloom-Filter based PIT Table. Authors: Wei You, Bertrand Mathieu, Patrick Truong, Jean-Francois Peltier ,and Gwendal Simon Publisher: ICCCN 2012 Presenter: Chai-Yi Chu Date: 2013/04/10. Outline. Introduction DiPIT Architecture PITi shared Bloom filter

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Using Bloom Filters to Refine Web Search Results

Using Bloom Filters to Refine Web Search Results. Navendu Jain Mike Dahlin University of Texas at Austin Renu Tewari IBM Almaden Research Center. www.delorie.com/gnu/docs/emacs/emacs_toc.html. www.cs.utah.edu/dept/old/texinfo/emacs19/emacs_toc.html.

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Bloom Filters

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Efficient Conjunctive Keyword Search on Encrypted Data Storage System

Efficient Conjunctive Keyword Search on Encrypted Data Storage System. Author ? Jin Wook Byun Dong Hoon Lee Jongin Lim. Presentered by Chia Jui Hsu Date ? 2008-08-05. Outline. Introduction Related Works Example Contribution Security Definition

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Course Intructor Dr. Jianhua Ruan Presenters Husnu Narman Nihat Altiparmak

CS 6293 AT: Current Bioinformatics HW2 Papers 1. BLAT- -The BLAST-Like Alignment Tool 2. Classification of DNA sequences using Bloom Filters. Course Intructor Dr. Jianhua Ruan Presenters Husnu Narman Nihat Altiparmak. BLAT--The BLAST-Like Alignment Tool. W. James Kent (2002) UCSC

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Bloom Filters

Data Structures. Bloom Filters. Design and Analysis of Algorithms I. Bloom Filters: Supported Operations. Bloom Filters: Applications. Bloom Filter: Under the Hood. Heuristic Analysis.

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