Digital Forensics Formats: Seeking a Digital Preservation Storage Container Format for Web Archiving
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Recommended Formats Statement 2019-2020
Library of Congress Recommended Formats Statement 2019-2020 For online version, see https://www.loc.gov/preservation/resources/rfs/index.html Introduction to the 2019-2020 revision ....................................................................... 2 I. Textual Works and Musical Compositions ............................................................ 4 i. Textual Works – Print .................................................................................................... 4 ii. Textual Works – Digital ................................................................................................ 6 iii. Textual Works – Electronic serials .............................................................................. 8 iv. Digital Musical Compositions (score-based representations) .................................. 11 II. Still Image Works ............................................................................................... 13 i. Photographs – Print .................................................................................................... 13 ii. Photographs – Digital ................................................................................................. 14 iii. Other Graphic Images – Print .................................................................................... 15 iv. Other Graphic Images – Digital ................................................................................. 16 v. Microforms ................................................................................................................ -
ACS – the Archival Cytometry Standard
http://flowcyt.sf.net/acs/latest.pdf ACS – the Archival Cytometry Standard Archival Cytometry Standard ACS International Society for Advancement of Cytometry Candidate Recommendation DRAFT Document Status The Archival Cytometry Standard (ACS) has undergone several revisions since its initial development in June 2007. The current proposal is an ISAC Candidate Recommendation Draft. It is assumed, however not guaranteed, that significant features and design aspects will remain unchanged for the final version of the Recommendation. This specification has been formally tested to comply with the W3C XML schema version 1.0 specification but no position is taken with respect to whether a particular software implementing this specification performs according to medical or other valid regulations. The work may be used under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported license. You are free to share (copy, distribute and transmit), and adapt the work under the conditions specified at http://creativecommons.org/licenses/by-sa/3.0/legalcode. Disclaimer of Liability The International Society for Advancement of Cytometry (ISAC) disclaims liability for any injury, harm, or other damage of any nature whatsoever, to persons or property, whether direct, indirect, consequential or compensatory, directly or indirectly resulting from publication, use of, or reliance on this Specification, and users of this Specification, as a condition of use, forever release ISAC from such liability and waive all claims against ISAC that may in any manner arise out of such liability. ISAC further disclaims all warranties, whether express, implied or statutory, and makes no assurances as to the accuracy or completeness of any information published in the Specification. -
Full Document
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 . -
End-To-End Enterprise Encryption: a Look at Securezip® Technology
End-to-End Enterprise Encryption: A Look at SecureZIP® Technology TECHNICAL WHITE PAPER WP 700.xxxx End-to-End Enterprise Encryption: A Look at SecureZIP Technology Table of Contents SecureZIP Executive Summary 3 SecureZIP: The Next Generation of ZIP 4 PKZIP: The Foundation for SecureZIP 4 Implementation of ZIP Encryption 5 Hybrid Cryptosystem 6 Crytopgraphic Calculation Sources 7 Digital Signing 7 In Step with the Data Protection Market’s Needs 7 Conclusion 8 WP-SZ-032609 | 2 End-to-End Enterprise Encryption: A Look at SecureZIP Technology End-to-End Enterprise Encryption: A Look at SecureZIP Technology Every day sensitive data is exchanged within your organization, both internally and with external partners. Personal health & insurance data of your employees is shared between your HR department and outside insurance carriers. Customer PII (Personally Identifiable Information) is transferred from your corporate headquarters to various offices around the world. Payment transaction data flows between your store locations and your payments processor. All of these instances involve sensitive data and regulated information that must be exchanged between systems, locations, and partners; a breach of any of them could lead to irreparable damage to your reputation and revenue. Organizations today must adopt a means for mitigating the internal and external risks of data breach and compromise. The required solution must support the exchange of data across operating systems to account for both the diversity of your own infrastructure and the unknown infrastructures of your customers, partners, and vendors. Moreover, that solution must integrate naturally into your existing workflows to keep operational cost and impact to minimum while still protecting data end-to-end. -
The Basic Principles of Data Compression
The Basic Principles of Data Compression Author: Conrad Chung, 2BrightSparks Introduction Internet users who download or upload files from/to the web, or use email to send or receive attachments will most likely have encountered files in compressed format. In this topic we will cover how compression works, the advantages and disadvantages of compression, as well as types of compression. What is Compression? Compression is the process of encoding data more efficiently to achieve a reduction in file size. One type of compression available is referred to as lossless compression. This means the compressed file will be restored exactly to its original state with no loss of data during the decompression process. This is essential to data compression as the file would be corrupted and unusable should data be lost. Another compression category which will not be covered in this article is “lossy” compression often used in multimedia files for music and images and where data is discarded. Lossless compression algorithms use statistic modeling techniques to reduce repetitive information in a file. Some of the methods may include removal of spacing characters, representing a string of repeated characters with a single character or replacing recurring characters with smaller bit sequences. Advantages/Disadvantages of Compression Compression of files offer many advantages. When compressed, the quantity of bits used to store the information is reduced. Files that are smaller in size will result in shorter transmission times when they are transferred on the Internet. Compressed files also take up less storage space. File compression can zip up several small files into a single file for more convenient email transmission. -
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 ............................................................................................................ -
A Statistical Report on State Archives and Records Management Programs in the United States
THE STATE OF STATE RECORDS A Statistical Report on State Archives and Records Management Programs in the United States 2021 EDITION BASED ON FY2020 SURVEY JULY 2021 RECENT REPORTS AND PUBLICATIONS FROM THE COUNCIL OF STATE ARCHIVISTS These and other publications may be found at the CoSA website, https://www.statearchivists.org/ SERI Digital Best Practices Series Number 2: Developing Managing Electronic Communications in Government. 2019 Successful Electronic Records Grants Projects. May 2021 When is Information Misinformation? 2019. MoVE-IT: Modeling Viable Electronic Information Transfers. A collaborative publication of CoSA, the Chief Officers of State February 2021 Library Agencies (COSLA), and the National Association of The Modeling Viable Electronic Information Transfers (MoVE-IT) Secretaries of State (NASS), this handy infographic highlights project builds upon work surveying state and territorial archives common pitfalls for online users and offers five tips for regarding the efficacy of their electronic records management avoiding them. and digital preservation programs. This report analyzes seven electronic records transfer projects with regard to the elements State Archiving in the Digital Era: A Playbook for the that challenged them and, ultimately, made them successes. Preservation of Electronic Records. OctOber 2018 Published with support from Preservica and AVP. Developed by CoSA and the National Association of State Chief Information Officers, the playbook presents eleven “plays” Public Records and Remote Work: Advice for State to help state leaders think about the best ways to preserve Governments. SepteMber 2020 archives in the digital era. This report was supported in part by Social Media as State Public Records: A Collections Practices a National Leadership Grant from the Institute of Museum and Scan. -
Metadefender Core V4.12.2
MetaDefender Core v4.12.2 © 2018 OPSWAT, Inc. All rights reserved. OPSWAT®, MetadefenderTM and the OPSWAT logo are trademarks of OPSWAT, Inc. All other trademarks, trade names, service marks, service names, and images mentioned and/or used herein belong to their respective owners. Table of Contents About This Guide 13 Key Features of Metadefender Core 14 1. Quick Start with Metadefender Core 15 1.1. Installation 15 Operating system invariant initial steps 15 Basic setup 16 1.1.1. Configuration wizard 16 1.2. License Activation 21 1.3. Scan Files with Metadefender Core 21 2. Installing or Upgrading Metadefender Core 22 2.1. Recommended System Requirements 22 System Requirements For Server 22 Browser Requirements for the Metadefender Core Management Console 24 2.2. Installing Metadefender 25 Installation 25 Installation notes 25 2.2.1. Installing Metadefender Core using command line 26 2.2.2. Installing Metadefender Core using the Install Wizard 27 2.3. Upgrading MetaDefender Core 27 Upgrading from MetaDefender Core 3.x 27 Upgrading from MetaDefender Core 4.x 28 2.4. Metadefender Core Licensing 28 2.4.1. Activating Metadefender Licenses 28 2.4.2. Checking Your Metadefender Core License 35 2.5. Performance and Load Estimation 36 What to know before reading the results: Some factors that affect performance 36 How test results are calculated 37 Test Reports 37 Performance Report - Multi-Scanning On Linux 37 Performance Report - Multi-Scanning On Windows 41 2.6. Special installation options 46 Use RAMDISK for the tempdirectory 46 3. Configuring Metadefender Core 50 3.1. Management Console 50 3.2. -
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 -
Improved Neural Network Based General-Purpose Lossless Compression Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 DZip: improved neural network based general-purpose lossless compression Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa Abstract—We consider lossless compression based on statistical [4], [5] and generative modeling [6]). Neural network based data modeling followed by prediction-based encoding, where an models can typically learn highly complex patterns in the data accurate statistical model for the input data leads to substantial much better than traditional finite context and Markov models, improvements in compression. We propose DZip, a general- purpose compressor for sequential data that exploits the well- leading to significantly lower prediction error (measured as known modeling capabilities of neural networks (NNs) for pre- log-loss or perplexity [4]). This has led to the development of diction, followed by arithmetic coding. DZip uses a novel hybrid several compressors using neural networks as predictors [7]– architecture based on adaptive and semi-adaptive training. Unlike [9], including the recently proposed LSTM-Compress [10], most NN based compressors, DZip does not require additional NNCP [11] and DecMac [12]. Most of the previous works, training data and is not restricted to specific data types. The proposed compressor outperforms general-purpose compressors however, have been tailored for compression of certain data such as Gzip (29% size reduction on average) and 7zip (12% size types (e.g., text [12] [13] or images [14], [15]), where the reduction on average) on a variety of real datasets, achieves near- prediction model is trained in a supervised framework on optimal compression on synthetic datasets, and performs close to separate training data or the model architecture is tuned for specialized compressors for large sequence lengths, without any the specific data type. -
Financial Statements
ANNUAL REPORT FLYHT AEROSPACE SOLUTIONS LTD. Table of Contents Commonly used Financial Terms and Aviation Acronyms ..................................................................................................... 3 Letter to Shareholders ............................................................................................................................................................. 4 Management Discussion & Analysis ....................................................................................................................................... 5 Non-GAAP Financial Measures .......................................................................................................................................... 5 Forward-Looking Statements .............................................................................................................................................. 5 FLYHT Overview ................................................................................................................................................................. 6 Trends and Economic Factors .......................................................................................................................................... 11 Environmental, Social and Corporate Governance .......................................................................................................... 13 2020 Contracts, Achievements and Activities ................................................................................................................. -
Scalable Speculative Parallelization on Commodity Clusters
Scalable Speculative Parallelization on Commodity Clusters Hanjun Kim Arun Raman Feng Liu Jae W. Leey David I. August Departments of Electrical Engineering and Computer Science y Parakinetics Inc. Princeton University Princeton, USA Princeton, USA [email protected] {hanjunk, rarun, fengliu, august}@princeton.edu Abstract by the cluster is difficult. For these reasons, such programs have been deemed unsuitable for execution on clusters. While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are Recent research has demonstrated that a combination of not easily parallelized for execution upon them. In particular, high pipeline parallelism (DSWP), thread-level speculation (TLS), inter-node communication cost and lack of globally shared memory and speculative pipeline parallelism (Spec-DSWP) can un- appear to make clusters suitable only for server applications with lock significant amounts of parallelism in general-purpose abundant task-level parallelism and scientific applications with regu- programs on shared memory systems [6, 24, 27, 29, 30, 32, lar and independent units of work. Clever use of pipeline parallelism (DSWP), thread-level speculation (TLS), and speculative pipeline 36, 37]. Pipeline parallelization techniques such as DSWP parallelism (Spec-DSWP) can mitigate the costs of inter-thread partition a loop in such a way that the critical path is executed communication on shared memory multicore machines. This paper in a thread-local fashion, with off-critical path data flowing presents Distributed Software Multi-threaded Transactional memory unidirectionally through the pipeline. The combination of these (DSMTX), a runtime system which makes these techniques applicable two factors makes the program execution highly insensitive to non-shared memory clusters, allowing them to efficiently address inter-node communication costs.