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R&D Centre for Mobile Applications (RDC) FEE, Dept of Telecommunications Engineering Czech Technical University in Prague RDC Technical Report TR-13-4 Internship report Evaluation of Compressibility of the Output of the Information-Concealing Algorithm Julien Mamelli, [email protected] 2nd year student at the Ecole´ des Mines d'Al`es (N^ımes,France) Internship supervisor: Luk´aˇsKencl, [email protected] August 2013 Abstract Compression is a key element to exchange files over the Internet. By generating re- dundancies, the concealing algorithm proposed by Kencl and Loebl [?], appears at first glance to be particularly designed to be combined with a compression scheme [?]. Is the output of the concealing algorithm actually compressible? We have tried 16 compression techniques on 1 120 files, and the result is that we have not found a solution which could advantageously use repetitions of the concealing method. Acknowledgments I would like to express my gratitude to my supervisor, Dr Luk´aˇsKencl, for his guidance and expertise throughout the course of this work. I would like to thank Prof. Robert Beˇst´akand Mr Pierre Runtz, for giving me the opportunity to carry out my internship at the Czech Technical University in Prague. I would also like to thank all the members of the Research and Development Center for Mobile Applications as well as my colleagues for the assistance they have given me during this period. 1 Contents 1 Introduction 3 2 Related Work 4 2.1 Information concealing method . 4 2.2 Archive formats . 5 2.3 Compression algorithms . 5 2.3.1 Lempel-Ziv algorithm . -
PKZIP MVS User's Guide
PKZIP for MVS MVS/ESA, OS/390, & z/OS User’s Guide PKMU-V5R5000 PKWARE, Inc. PKWARE, Inc. 9009 Springboro Pike Miamisburg, Ohio 45342 Sales: 937-847-2374 Support: 937-847-2687 Fax: 937-847-2375 Web Site: http://www.pkzip.com Sales - E-Mail: [email protected] Support - http://www.pkzip.com/support 5.5 Edition (2003) PKZIP for MVS™, PKZIP for OS/400™, PKZIP for VSE™, PKZIP for UNIX™, and PKZIP for Windows™ are just a few of the many members in the PKZIP® family. PKWARE, Inc. would like to thank all the individuals and companies -- including our customers, resellers, distributors, and technology partners -- who have helped make PKZIP® the industry standard for Trusted ZIP solutions. PKZIP® enables our customers to efficiently and securely transmit and store information across systems of all sizes, ranging from desktops to mainframes. This edition applies to the following PKWARE of Ohio, Inc. licensed program: PKZIP for MVS™ (Version 5, Release 5, 2003) PKZIP(R) is a registered trademark of PKWARE(R) Inc. Other product names mentioned in this manual may be a trademark or registered trademarks of their respective companies and are hereby acknowledged. Any reference to licensed programs or other material, belonging to any company, is not intended to state or imply that such programs or material are available or may be used. The copyright in this work is owned by PKWARE of Ohio, Inc., and the document is issued in confidence for the purpose only for which it is supplied. It must not be reproduced in whole or in part or used for tendering purposes except under an agreement or with the consent in writing of PKWARE of Ohio, Inc., and then only on condition that this notice is included in any such reproduction. -
ARC File Revision 3.0 Proposal
ARC file Revision 3.0 Proposal Steen Christensen, Det Kongelige Bibliotek <ssc at kb dot dk> Michael Stack, Internet Archive <stack at archive dot org> Edited by Michael Stack Revision History Revision 1 09/09/2004 Initial conversion of wiki working doc. [http://crawler.archive.org/cgi-bin/wiki.pl?ArcRevisionProposal] to docbook. Added suggested edits suggested by Gordon Mohr (Others made are still up for consideration). This revision is what is being submitted to the IIPC Framework Group for review at their London, 09/20/2004 meeting. Table of Contents 1. Introduction ............................................................................................................................2 1.1. IIPC Archival Data Format Requirements .......................................................................... 2 1.2. Input ...........................................................................................................................2 1.3. Scope ..........................................................................................................................3 1.4. Acronyms, Abbreviations and Definitions .......................................................................... 3 2. ARC Record Addressing ........................................................................................................... 4 2.1. Reference ....................................................................................................................4 2.2. The ari Scheme ............................................................................................................ -
Implementing Compression on Distributed Time Series Database
Implementing compression on distributed time series database Michael Burman School of Science Thesis submitted for examination for the degree of Master of Science in Technology. Espoo 05.11.2017 Supervisor Prof. Kari Smolander Advisor Mgr. Jiri Kremser Aalto University, P.O. BOX 11000, 00076 AALTO www.aalto.fi Abstract of the master’s thesis Author Michael Burman Title Implementing compression on distributed time series database Degree programme Major Computer Science Code of major SCI3042 Supervisor Prof. Kari Smolander Advisor Mgr. Jiri Kremser Date 05.11.2017 Number of pages 70+4 Language English Abstract Rise of microservices and distributed applications in containerized deployments are putting increasing amount of burden to the monitoring systems. They push the storage requirements to provide suitable performance for large queries. In this paper we present the changes we made to our distributed time series database, Hawkular-Metrics, and how it stores data more effectively in the Cassandra. We show that using our methods provides significant space savings ranging from 50 to 95% reduction in storage usage, while reducing the query times by over 90% compared to the nominal approach when using Cassandra. We also provide our unique algorithm modified from Gorilla compression algorithm that we use in our solution, which provides almost three times the throughput in compression with equal compression ratio. Keywords timeseries compression performance storage Aalto-yliopisto, PL 11000, 00076 AALTO www.aalto.fi Diplomityön tiivistelmä Tekijä Michael Burman Työn nimi Pakkausmenetelmät hajautetussa aikasarjatietokannassa Koulutusohjelma Pääaine Computer Science Pääaineen koodi SCI3042 Työn valvoja ja ohjaaja Prof. Kari Smolander Päivämäärä 05.11.2017 Sivumäärä 70+4 Kieli Englanti Tiivistelmä Hajautettujen järjestelmien yleistyminen on aiheuttanut valvontajärjestelmissä tiedon määrän kasvua, sillä aikasarjojen määrä on kasvanut ja niihin talletetaan useammin tietoa. -
Steganography and Vulnerabilities in Popular Archives Formats.| Nyxengine Nyx.Reversinglabs.Com
Hiding in the Familiar: Steganography and Vulnerabilities in Popular Archives Formats.| NyxEngine nyx.reversinglabs.com Contents Introduction to NyxEngine ............................................................................................................................ 3 Introduction to ZIP file format ...................................................................................................................... 4 Introduction to steganography in ZIP archives ............................................................................................. 5 Steganography and file malformation security impacts ............................................................................... 8 References and tools .................................................................................................................................... 9 2 Introduction to NyxEngine Steganography1 is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity. When it comes to digital steganography no stone should be left unturned in the search for viable hidden data. Although digital steganography is commonly used to hide data inside multimedia files, a similar approach can be used to hide data in archives as well. Steganography imposes the following data hiding rule: Data must be hidden in such a fashion that the user has no clue about the hidden message or file's existence. This can be achieved by -
Zlib Home Site
zlib Home Site http://zlib.net/ A Massively Spiffy Yet Delicately Unobtrusive Compression Library (Also Free, Not to Mention Unencumbered by Patents) (Not Related to the Linux zlibc Compressing File-I/O Library) Welcome to the zlib home page, web pages originally created by Greg Roelofs and maintained by Mark Adler . If this page seems suspiciously similar to the PNG Home Page , rest assured that the similarity is completely coincidental. No, really. zlib was written by Jean-loup Gailly (compression) and Mark Adler (decompression). Current release: zlib 1.2.6 January 29, 2012 Version 1.2.6 has many changes over 1.2.5, including these improvements: gzread() can now read a file that is being written concurrently gzgetc() is now a macro for increased speed Added a 'T' option to gzopen() for transparent writing (no compression) Added deflatePending() to return the amount of pending output Allow deflateSetDictionary() and inflateSetDictionary() at any time in raw mode deflatePrime() can now insert bits in the middle of the stream ./configure now creates a configure.log file with all of the results Added a ./configure --solo option to compile zlib with no dependency on any libraries Fixed a problem with large file support macros Fixed a bug in contrib/puff Many portability improvements You can also look at the complete Change Log . Version 1.2.5 fixes bugs in gzseek() and gzeof() that were present in version 1.2.4 (March 2010). All users are encouraged to upgrade immediately. Version 1.2.4 has many changes over 1.2.3, including these improvements: -
How to 'Zip and Unzip' Files
How to 'zip and unzip' files The Windows 10 operating system provides a very easy way to zip-up any file (or folder) you want by using a utility program called 7-zip (Seven Zip). The program is integrated in the context menu which you get when you right-click on anything selected. Here are the basic steps you need to take in order to: Zip a file and create an archive 1. Open a folder in your machine and select any file (by clicking on it once). I selected a single file called 'how-to send an email.docx' 2. Now right click the mouse to have the context menu appear 3. In the context menu you should be able to see some commands like the capture below 4. Since we want to zip up the file you need to select one of the bottom two options a. 'Add to archive' will actually open up a dialog of the 7-zip application and will give you the opportunity to customise the archive. b. 'Add to how-to send an email.zip' is actually the quickest way possible to create an archive. The software uses the name of the file and selects a default compression scheme (.zip) so that you can, with two clicks, create a zip archive containing the original file. 5. Now you can use the 'how-to send an email.zip' file and send it as a 'smaller' email attachment. Now consider that you have just received (via email) the 'how-to send an email.zip' file and you need to get (the correct phrase is extract) the file it contains. -
PKZIP®/Securezip® for I5/OS® User's Guide
PKZIP®/SecureZIP® ® for i5/OS User’s Guide SZIU- V10R05M02 PKWARE, Inc. PKWARE, Inc. 648 N Plankinton Avenue, Suite 220 Milwaukee, WI 53203 Main office: 888-4PKWARE (888-475-9273) Sales: 937-847-2374 (888-4PKWARE / 888-475-9273) Sales: Email: [email protected] Support: 937-847-2687 Support: http://www.pkware.com/support/system-i Fax: 414-289-9789 Web Site: http://www.pkware.com 10.0.5 Edition (2010) SecureZIP for z/OS, PKZIP for z/OS, SecureZIP for i5/OS®, PKZIP for i5/OS, SecureZIP for UNIX, and SecureZIP for Windows are just a few of the members of the PKZIP family. PKWARE Inc. would like to thank all the individuals and companies—including our customers, resellers, distributors, and technology partners—who have helped make PKZIP the industry standard for trusted ZIP solutions. PKZIP enables our customers to efficiently and securely transmit and store information across systems of all sizes, ranging from desktops to mainframes. This edition applies to the following PKWARE Inc. licensed programs: PKZIP for i5/OS (Version 10, Release 0.5, 2010) SecureZIP for i5/OS (Version 10, Release 0.5, 2010) SecureZIP Partner for i5/OS (Version 10, Release 0.5, 2010) PKWARE, PKZIP and SecureZIP are registered trademarks of PKWARE, Inc. z/OS, i5/OS, zSeries, and iSeries are registered trademarks of IBM Corporation. Other product names mentioned in this manual may be trademarks or registered trademarks of their respective companies and are hereby acknowledged. This product includes software developed by the OpenSSL Project for use in the OpenSSL Toolkit (http://www.openssl.org/) Any reference to licensed programs or other material, belonging to any company, is not intended to state or imply that such programs or material are available or may be used. -
ORDERINFO 3 Copy
ORDER info ORDER info Placing Your Order We will need to know the following information before your order can be quoted: PLEASE NOTE: Artwork with low resolution will project fuzzy and/or distorted and will not 1. Customer name and contact information. give the best appearance. Most web images are created at 72 dpi. Please do not try to resize an image taken from the Web from 72 dpi to a higher resolution. To receive the highest quality 2. The lighting instrument that will be projecting the gobo. image, we require artwork to be saved at a minimum resolution of 600 dpi with an image size 3. Quantity needed and gobo size (in millimeters). of at least 5 x 5 inches (127 x 127 mm). 4. Whether you intend to project the image on to a surface from the front or on to a screen ORDER from behind. Artwork received at lower resolutions will incur an additional (hourly) artwork fee. However, 5. Is the background of the image clear or black? the quality and detail of the gobo will still be determined by the original quality of the artwork. 6. When you need the order shipped. We also accept hard copies of artwork; such as photographs, slicks, or prints. Faxed images When placing orders, please e-mail the above information and attached artwork to are accepted, but usually do not reproduce well. Please submit a reasonably sized, clean copy info [email protected] . A quotation and proof will be generated and returned to you of your artwork. Additional (hourly) artwork fees may apply for poor quality artwork. -
Forcepoint DLP Supported File Formats and Size Limits
Forcepoint DLP Supported File Formats and Size Limits Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 This article provides a list of the file formats that can be analyzed by Forcepoint DLP, file formats from which content and meta data can be extracted, and the file size limits for network, endpoint, and discovery functions. See: ● Supported File Formats ● File Size Limits © 2021 Forcepoint LLC Supported File Formats Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 The following tables lists the file formats supported by Forcepoint DLP. File formats are in alphabetical order by format group. ● Archive For mats, page 3 ● Backup Formats, page 7 ● Business Intelligence (BI) and Analysis Formats, page 8 ● Computer-Aided Design Formats, page 9 ● Cryptography Formats, page 12 ● Database Formats, page 14 ● Desktop publishing formats, page 16 ● eBook/Audio book formats, page 17 ● Executable formats, page 18 ● Font formats, page 20 ● Graphics formats - general, page 21 ● Graphics formats - vector graphics, page 26 ● Library formats, page 29 ● Log formats, page 30 ● Mail formats, page 31 ● Multimedia formats, page 32 ● Object formats, page 37 ● Presentation formats, page 38 ● Project management formats, page 40 ● Spreadsheet formats, page 41 ● Text and markup formats, page 43 ● Word processing formats, page 45 ● Miscellaneous formats, page 53 Supported file formats are added and updated frequently. Key to support tables Symbol Description Y The format is supported N The format is not supported P Partial metadata -
Data Compression and Archiving Software Implementation and Their Algorithm Comparison
Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1992-03 Data compression and archiving software implementation and their algorithm comparison Jung, Young Je Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/26958 NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS^** DATA COMPRESSION AND ARCHIVING SOFTWARE IMPLEMENTATION AND THEIR ALGORITHM COMPARISON by Young Je Jung March, 1992 Thesis Advisor: Chyan Yang Approved for public release; distribution is unlimited T25 46 4 I SECURITY CLASSIFICATION OF THIS PAGE REPORT DOCUMENTATION PAGE la REPORT SECURITY CLASSIFICATION 1b RESTRICTIVE MARKINGS UNCLASSIFIED 2a SECURITY CLASSIFICATION AUTHORITY 3 DISTRIBUTION/AVAILABILITY OF REPORT Approved for public release; distribution is unlimite 2b DECLASSIFICATION/DOWNGRADING SCHEDULE 4 PERFORMING ORGANIZATION REPORT NUMBER(S) 5 MONITORING ORGANIZATION REPORT NUMBER(S) 6a NAME OF PERFORMING ORGANIZATION 6b OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATION Naval Postgraduate School (If applicable) Naval Postgraduate School 32 6c ADDRESS {City, State, and ZIP Code) 7b ADDRESS (City, State, and ZIP Code) Monterey, CA 93943-5000 Monterey, CA 93943-5000 8a NAME OF FUNDING/SPONSORING 8b OFFICE SYMBOL 9 PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (If applicable) 8c ADDRESS (City, State, and ZIP Code) 10 SOURCE OF FUNDING NUMBERS Program Element No Project Nc Work Unit Accession Number 1 1 TITLE (Include Security Classification) DATA COMPRESSION AND ARCHIVING SOFTWARE IMPLEMENTATION AND THEIR ALGORITHM COMPARISON 12 PERSONAL AUTHOR(S) Young Je Jung 13a TYPE OF REPORT 13b TIME COVERED 1 4 DATE OF REPORT (year, month, day) 15 PAGE COUNT Master's Thesis From To March 1992 94 16 SUPPLEMENTARY NOTATION The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. -
Rule Base with Frequent Bit Pattern and Enhanced K-Medoid Algorithm for the Evaluation of Lossless Data Compression
Volume 3, No. 1, Jan-Feb 2012 ISSN No. 0976-5697 International Journal of Advanced Research in Computer Science RESEARCH PAPER Available Online at www.ijarcs.info Rule Base with Frequent Bit Pattern and Enhanced k-Medoid Algorithm for the Evaluation of Lossless Data Compression. Nishad P.M.* Dr. N. Nalayini Ph.D Scholar, Department Of Computer Science Associate professor, Department of computer science NGM NGM College, Pollachi, India College Pollachi, Coimbatore, India [email protected] [email protected] Abstract: This paper presents a study of various lossless compression algorithms; to test the performance and the ability of compression of each algorithm based on ten different parameters. For evaluation the compression ratios of each algorithm on different parameters are processed. To classify the algorithms based on the compression ratio, rule base is constructed to mine with frequent bit pattern to analyze the variations in various compression algorithms. Also, enhanced K- Medoid clustering is used to cluster the various data compression algorithms based on various parameters. The cluster falls dissentingly high to low after the enhancement. The framed rule base consists of 1,048,576 rules, which is used to evaluate the compression algorithm. Two hundred and eleven Compression algorithms are used for this study. The experimental result shows only few algorithm satisfies the range “High” for more number of parameters. Keywords: Lossless compression, parameters, compression ratio, rule mining, frequent bit pattern, K–Medoid, clustering. I. INTRODUCTION the maximum shows the peek compression ratio of algorithms on various parameters, for example 19.43 is the Data compression is a method of encoding rules that minimum compression ratio and the 76.84 is the maximum allows substantial reduction in the total number of bits to compression ratio for the parameter EXE shown in table-1 store or transmit a file.