Data Recovery from Virtual Machine Data Loss
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Oracle's Zero Data Loss Recovery Appliance
GmbH Enterprise Servers, Storage and Business Continuity White Paper Oracle’s Zero Data Loss Recovery Appliance – and Comparison with EMC Data Domain Josh Krischer December 2015 _____________________________________________________________________________ 2015 © Josh Krischer & Associates GmbH. All rights reserved. Reproduction of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Josh Krischer & Associates GmbH disclaims all warranties as to the accuracy, completeness or adequacy of such information. Josh Krischer & Associates GmbH shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. All product names used and mentioned d herein are the trademarks of their respective owners. GmbH Enterprise Servers, Storage and Business Continuity Contents Executive Summary ...................................................................................................................... 3 Oracle’s Zero Data Loss Recovery Appliance ............................................................................... 4 Oracle’s Zero Data Loss Recovery Appliance – Principles of Operation ....................................... 5 Oracle’s Maximum Availability Architecture (MAA) ...................................................................... -
CERIAS Tech Report 2017-5 Deceptive Memory Systems by Christopher N
CERIAS Tech Report 2017-5 Deceptive Memory Systems by Christopher N. Gutierrez Center for Education and Research Information Assurance and Security Purdue University, West Lafayette, IN 47907-2086 DECEPTIVE MEMORY SYSTEMS ADissertation Submitted to the Faculty of Purdue University by Christopher N. Gutierrez In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2017 Purdue University West Lafayette, Indiana ii THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL Dr. Eugene H. Spa↵ord, Co-Chair Department of Computer Science Dr. Saurabh Bagchi, Co-Chair Department of Computer Science Dr. Dongyan Xu Department of Computer Science Dr. Mathias Payer Department of Computer Science Approved by: Dr. Voicu Popescu by Dr. William J. Gorman Head of the Graduate Program iii This work is dedicated to my wife, Gina. Thank you for all of your love and support. The moon awaits us. iv ACKNOWLEDGMENTS Iwould liketothank ProfessorsEugeneSpa↵ord and SaurabhBagchi for their guidance, support, and advice throughout my time at Purdue. Both have been instru mental in my development as a computer scientist, and I am forever grateful. I would also like to thank the Center for Education and Research in Information Assurance and Security (CERIAS) for fostering a multidisciplinary security culture in which I had the privilege to be part of. Special thanks to Adam Hammer and Ronald Cas tongia for their technical support and Thomas Yurek for his programming assistance for the experimental evaluation. I am grateful for the valuable feedback provided by the members of my thesis committee, Professor Dongyen Xu, and Professor Math ias Payer. -
Data & Computer Recovery Guidelines
Data & Computer Recovery Guidelines Data & Computer Recovery Guidelines This document contains general guidelines for restoring computer operating following certain types of disasters. It should be noted these guidelines will not fit every type of disaster or every organization and that you may need to seek outside help to recover and restore your operations. This document is divided into five parts. The first part provides general guidelines which are independent of the type of disaster, the next three sections deal with issues surrounding specific disaster types (flood/water damage, power surge, and physical damage). The final section deals with general recommendations to prepare for the next disaster. General Guidelines 2. Your first step is to restore the computing equipment. These are general guidelines for recovering after any type If you do try to power on the existing equipment, it of disaster or computer failure. If you have a disaster is best to remove the hard drive(s) first to make sure recovery plan, then you should be prepared; however, the system will power on. Once you have determined there may be things that were not covered to help the system powers on, you can reinstall the hard drive you recover. This section is divided into two sections and power the system back on. Hopefully, everything (computer system recovery, data recovery) works at that point. Note: this should not be tried in the case of a water or extreme heat damage. Computer System Recovery 3. If the computer will not power on then you can either The first step is to get your physical computer systems try to fix the computer or in many cases it is easier, running again. -
Data Remanence in Non-Volatile Semiconductor Memory (Part I)
Data remanence in non-volatile semiconductor memory (Part I) Security Group Sergei Skorobogatov Web: www.cl.cam.ac.uk/~sps32/ Email: [email protected] Introduction Data remanence is the residual physical representation of data that has UV EPROM EEPROM Flash EEPROM been erased or overwritten. In non-volatile programmable devices, such as UV EPROM, EEPROM or Flash, bits are stored as charge in the floating gate of a transistor. After each erase operation, some of this charge remains. It shifts the threshold voltage (VTH) of the transistor which can be detected by the sense amplifier while reading data. Microcontrollers use a ‘protection fuse’ bit that restricts unauthorized access to on-chip memory if activated. Very often, this fuse is embedded in the main memory array. In this case, it is erased simultaneously with the memory. Better protection can be achieved if the fuse is located close to the memory but has a separate control circuit. This allows it to be permanently monitored as well as hardware protected from being erased too early, thus making sure that by the time the fuse is reset no data is left inside the memory. In some smartcards and microcontrollers, a password-protected boot- Structure, cross-section and operation modes for different memory types loader restricts firmware updates and data access to authorized users only. Usually, the on-chip operating system erases both code and data How much residual charge is left inside the memory cells memory before uploading new code, thus preventing any new after a standard erase operation? Is it possible to recover data application from accessing previously stored secrets. -
Databridge ETL Solution Datasheet
DATASHEET Extract and Transform MCP Host Data for Improved KEY FEATURES Client configuration tool for Analysis and Decision Support easy customization of table layout. Fast, well-informed business decisions require access to your organization’s key performance Dynamic before-and-after indicators residing on critical database systems. But the prospect of exposing those systems images (BI-AI) based on inevitably raises concerns around security, data integrity, cost, and performance. key change. 64-bit clients. For organizations using the Unisys ClearPath MCP server and its non-relational DMSII • Client-side management database, there’s an additional challenge: Most business intelligence tools support only console. relational databases. • Ability to run the client as a service or a daemon. The Only True ETL Solution for DMSII Data • Multi-threaded clients to That’s why businesses like yours are turning to Attachmate® DATABridge™. It’s the only increase processing speed. true Extract, Transform, Load (ETL) solution that securely integrates Unisys MCP DMSII • Support for Windows Server and non-DMSII data into a secondary system. 2012. • Secure automation of Unisys With DATABridge, you can easily integrate production data into a relational database or MCP data replication. another DMSII database located on an entirely different Unisys host system. And because • Seamless integration of DATABridge clients for Oracle and Microsoft SQL Server support a breadth of operating both DMSII and non-DMSII environments (including Windows 7, Windows Server 2012, Windows Server 2008, UNIX, data with Oracle, Microsoft SQL, and other relational AIX, SUSE Linux, and Red Hat Linux), DATABridge solutions fit seamlessly into your existing databases. infrastructure. -
Database Analyst Ii
Recruitment No.: 20.186 Date Opened: 5/25/2021 DATABASE ANALYST II SALARY: $5,794 to $8,153 monthly (26 pay periods annually) FINAL FILING DATE: We are accepting applications until closing at 5 pm, June 8, 2021 IT IS MANDATORY THAT YOU COMPLETE THE SUPPLEMENTAL QUESTIONNAIRE. YOUR APPLICATION WILL BE REJECTED IF YOU DO NOT PROVIDE ALL NECESSARY INFORMATION. THE POSITION The Human Resources Department is accepting applications for the position of Database Analyst II. The current opening is for a limited term, benefitted and full-time position in the Information Technology department, but the list may be utilized to fill future regular and full- time vacancies for the duration of the list. The term length for the current vacancy is not guaranteed but cannot exceed 36 months. The normal work schedule is Monday through Friday, 8 – 5 pm; a flex schedule may be available. The Information Technology department is looking for a full-time, limited-term Database Analyst I/II to develop and manage the City’s Open Data platform. Initiatives include tracking city council goals, presenting data related to capital improvement projects, and measuring budget performance. This position is in the Data Intelligence Division. Our team sees data as more than rows and columns, it tells stories that yield invaluable insights that help us solve problems, make better decisions, and create solutions. This position is responsible for building and maintaining systems that unlock the power of data. The successful candidate will be able to create data analytics & business -
Legality and Ethics of Web Scraping
Murray State's Digital Commons Faculty & Staff Research and Creative Activity 12-15-2020 Tutorial: Legality and Ethics of Web Scraping Vlad Krotov Leigh Johnson Murray State University Leiser Silva University of Houston Follow this and additional works at: https://digitalcommons.murraystate.edu/faculty Recommended Citation Krotov, V., Johnson, L., & Silva, L. (2020). Tutorial: Legality and Ethics of Web Scraping. Communications of the Association for Information Systems, 47, pp-pp. https://doi.org/10.17705/1CAIS.04724 This Peer Reviewed/Refereed Publication is brought to you for free and open access by Murray State's Digital Commons. It has been accepted for inclusion in Faculty & Staff Research and Creative Activity by an authorized administrator of Murray State's Digital Commons. For more information, please contact [email protected]. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/343555462 Legality and Ethics of Web Scraping, Communications of the Association for Information Systems (forthcoming) Article in Communications of the Association for Information Systems · August 2020 CITATIONS READS 0 388 3 authors, including: Vlad Krotov Murray State University 42 PUBLICATIONS 374 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Addressing barriers to big data View project Web Scraping Framework: An Integrated Approach to Retrieving Big Qualitative Data from the Web View project All content following this -
Next Generation Disaster Data Infrastructure
Next Generation Disaster Data Infrastructure A study report of the CODATA Task Group on Linked Open Data for Global Disaster Risk Research Supported by Study Panel Lead Authors in alphabetical order Bapon Fakhruddin, Tonkin & Taylor International, New Zealand Edward Chu, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Guoqing Li, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Contributing Authors in alphabetical order Amit Paul, BNA Technology Consulting LTD., India David Wyllie, Tonkin & Taylor International, New Zealand Durga Ragupathy, Tonkin & Taylor International, New Zealand Jibo Xie, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Kun-Lin Lu, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Kunal Sharma, National Disaster Management Authority, India I-Ching Chen, CODATA Task Group on Linked Open Data for Global Disaster Risk Research Nuha Eltinay, Arab Urban Development Institute, Kingdom of Saudi Arabia Saurabh Dalal, National Disaster Management Authority, India Raj Prasanna, Joint Centre for Disaster Research, Massey University Richard Reinen-Hamill, Tonkin & Taylor International, New Zealand Tengfei Yang, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China Vimikthi Jayawardene, The University of Queensland, Australia Acknowledgments This work is supported by the Committee on Data for Science and Technology (CODATA) of International Science Council (ISC), Integrated Research on Disaster Risk (IRDR); National Key R&D Program of China (2016YFE0122600) and Tonkin & Taylor International Ltd, New Zealand. LODGD (2019), Next Generation Disaster Data Infrastructure -White Paper. CODATA Task Group, Linked Open Data for Global Disaster Risk Research (LODGD). -
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives
ERRORS, MITIGATION, AND RECOVERY IN FLASH MEMORY SSDS 1 Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives Yu Cai, Saugata Ghose, Erich F. Haratsch, Yixin Luo, and Onur Mutlu Abstract—NAND flash memory is ubiquitous in everyday life The transistor traps charge within its floating gate, which dic- today because its capacity has continuously increased and cost has tates the threshold voltage level at which the transistor turns on. continuously decreased over decades. This positive growth is a The threshold voltage level of the floating gate is used to de- result of two key trends: (1) effective process technology scaling, termine the value of the digital data stored inside the transistor. and (2) multi-level (e.g., MLC, TLC) cell data coding. Unfortu- When manufacturing process scales down to a smaller tech- nately, the reliability of raw data stored in flash memory has also nology node, the size of each flash memory cell, and thus the continued to become more difficult to ensure, because these two trends lead to (1) fewer electrons in the flash memory cell (floating size of the transistor, decreases, which in turn reduces the gate) to represent the data and (2) larger cell-to-cell interference amount of charge that can be trapped within the floating gate. and disturbance effects. Without mitigation, worsening reliability Thus, process scaling increases storage density by enabling can reduce the lifetime of NAND flash memory. As a result, flash more cells to be placed in a given area, but it also causes relia- memory controllers in solid-state drives (SSDs) have become bility issues, which are the focus of this article. -
EEPROM Emulation
...the world's most energy friendly microcontrollers EEPROM Emulation AN0019 - Application Note Introduction This application note demonstrates a way to use the flash memory of the EFM32 to emulate single variable rewritable EEPROM memory through software. The example API provided enables reading and writing of single variables to non-volatile flash memory. The erase-rewrite algorithm distributes page erases and thereby doing wear leveling. This application note includes: • This PDF document • Source files (zip) • Example C-code • Multiple IDE projects 2013-09-16 - an0019_Rev1.09 1 www.silabs.com ...the world's most energy friendly microcontrollers 1 General Theory 1.1 EEPROM and Flash Based Memory EEPROM stands for Electrically Erasable Programmable Read-Only Memory and is a type of non- volatile memory that is byte erasable and therefore often used to store small amounts of data that must be saved when power is removed. The EFM32 microcontrollers do not include an embedded EEPROM module for byte erasable non-volatile storage, but all EFM32s do provide flash memory for non-volatile data storage. The main difference between flash memory and EEPROM is the erasable unit size. Flash memory is block-erasable which means that bytes cannot be erased individually, instead a block consisting of several bytes need to be erased at the same time. Through software however, it is possible to emulate individually erasable rewritable byte memory using block-erasable flash memory. To provide EEPROM functionality for the EFM32s in an application, there are at least two options available. The first one is to include an external EEPROM module when designing the hardware layout of the application. -
PROTECTING DATA from RANSOMWARE and OTHER DATA LOSS EVENTS a Guide for Managed Service Providers to Conduct, Maintain and Test Backup Files
PROTECTING DATA FROM RANSOMWARE AND OTHER DATA LOSS EVENTS A Guide for Managed Service Providers to Conduct, Maintain and Test Backup Files OVERVIEW The National Cybersecurity Center of Excellence (NCCoE) at the National Institute of Standards and Technology (NIST) developed this publication to help managed service providers (MSPs) improve their cybersecurity and the cybersecurity of their customers. MSPs have become an attractive target for cyber criminals. When an MSP is vulnerable its customers are vulnerable as well. Often, attacks take the form of ransomware. Data loss incidents—whether a ransomware attack, hardware failure, or accidental or intentional data destruction—can have catastrophic effects on MSPs and their customers. This document provides recommend- ations to help MSPs conduct, maintain, and test backup files in order to reduce the impact of these data loss incidents. A backup file is a copy of files and programs made to facilitate recovery. The recommendations support practical, effective, and efficient back-up plans that address the NIST Cybersecurity Framework Subcategory PR.IP-4: Backups of information are conducted, maintained, and tested. An organization does not need to adopt all of the recommendations, only those applicable to its unique needs. This document provides a broad set of recommendations to help an MSP determine: • items to consider when planning backups and buying a backup service/product • issues to consider to maximize the chance that the backup files are useful and available when needed • issues to consider regarding business disaster recovery CHALLENGE APPROACH Backup systems implemented and not tested or NIST Interagency Report 7621 Rev. 1, Small Business planned increase operational risk for MSPs. -
Ways to Avoid a Data-Storage Disaster
TOOLBOX WAYS TO AVOID A DATA-STORAGE DISASTER Hard-drive failures are inevitable, but data loss doesn’t have to be. ILLUSTRATION BY THE PROJECT TWINS THE PROJECT BY ILLUSTRATION BY JEFFREY M. PERKEL was to “clean up the data and get organized”, advantages, and scientists must discover what she says. Instead, she deleted her entire pro- works best for them on the basis of the nature racy Teal was a graduate student when ject. And unlike the safety net offered by the and volume of their data, storage-resource she executed what should have been a Windows and Macintosh operating-system availability and concerns about data privacy. routine command in her Unix termi- trash cans, there’s no way of recovering from In Teal’s case, automation saved the day. Tnal: rm −rf *. That command instructs the executing rm. Unless you have a backup. The server on which she was working was computer to delete everything in the current In the digital world, backing up data is regularly backed up to tape, and the “very directory recursively, including all subdirec- essential, whether those data are smart- friendly and helpful IT folks” on her depart- tories. There was just one problem — she was phone selfies or massive genome-sequencing ment’s life-sciences computing helpdesk were in the wrong directory. data sets. Storage media are fragile, and they able to recover her files. But the situation was At the time, Teal was studying computa- inevitably fail — or are lost, stolen or damaged. particularly embarrassing, she says, because tional linguistics as part of a master’s degree Backup options range from USB memory Teal — who is now executive director at The in biology at the University of California, sticks and cloud-based data-storage services Carpentries, a non-profit organization in San Los Angeles.