Data recovery is the process of salvaging data from damaged, failed, corrupted, or inaccessible storage media. It involves recovering lost or deleted files, as well as addressing issues like logical damage, physical damage, or data overwritten multiple times. Key techniques include data scanning tools, commercial recovery programs, magnetic force microscopy to detect remnant magnetization, and overwriting data in specific patterns to securely delete it. Proper techniques and care must be taken to avoid further loss or damage during recovery.
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Teacher: Sam Bowne
Website: https://samsclass.info/121/121_F16.shtml
Introduction to Cyber forensics: Information Security Investigations, Corporate Cyber Forensics, Scientific method in forensic analysis, investigating large scale Data breach cases.
Analyzing Malicious software.
Computer forensics is a very important branch of computer science in relation to computer and Internet related crimes. Earlier, computers were only used to produce data but now it has expanded to all devices related to digital data. The goal of Computer forensics is to perform crime investigations by using evidence from digital data to find who was the responsible for that particular crime.
For better research and investigation, developers have created many computer forensics tools. Police departments and investigation agencies select the tools based on various factors including budget and available experts on the team.
Slides for a college course based on "Incident Response & Computer Forensics, Third Edition" by by Jason Luttgens, Matthew Pepe, and Kevin Mandia.
Teacher: Sam Bowne
Website: https://samsclass.info/121/121_F16.shtml
Introduction to Cyber forensics: Information Security Investigations, Corporate Cyber Forensics, Scientific method in forensic analysis, investigating large scale Data breach cases.
Analyzing Malicious software.
Computer forensics is a very important branch of computer science in relation to computer and Internet related crimes. Earlier, computers were only used to produce data but now it has expanded to all devices related to digital data. The goal of Computer forensics is to perform crime investigations by using evidence from digital data to find who was the responsible for that particular crime.
For better research and investigation, developers have created many computer forensics tools. Police departments and investigation agencies select the tools based on various factors including budget and available experts on the team.
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"Funded by the Department of Labor, Employment and Training Administration, Grant #TC-23745-12-60-A-53"
Learn more about the PACE-IT Online program: www.edcc.edu/pace-it
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Acroknight is an automated online backup service which has been designed to be extremely easy to use, and with extensive management and reporting features for technology re-sellers or business customers.
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
1. DATA RECOVERY
NAME : SHOVAN NANDI
DEPARTMENT : COMPUTER SCIENCE AND ENGINEERING
ROLL NO : 15800114007
REG. NO : 141580110007
YEAR : 3RD
SEMESTER : 6TH
2. OVERVIEW
• What is Data Recovery?
• The Principle of Data Recovery
• How can it be used?
• The Scope of Data Recovery
• Techniques
– Recovery Methods
– Secure Deletion
Matter needs attention before recovery
Advantages and disadvantages
Conclusion
3. What is Data Recovery?
It is the process of
salvaging data from
damaged, failed, corrupted,
or inaccessible secondary
storage media when it
cannot be accessed
normally. Recovery may be
required due to physical
damage to the storage
device or logical damage to
the file system.
4. Cases of Recovery
FIRE
Found after a fire
destroyed a 100 year
old home – All data
Recovered
CRUSHED
A bus runs over a
laptop – All data
recovered
SOAKED
PowerBook
trapped
underwater for
two days – All
data recovered
5. The Principle of Data Recovery
Data recovery is a process of finding and recovering data, in
which there may be some risk, for no all situations can be
anticipated or prearranged. It means maybe there will be some
unexpected things happen. So we need reduce the danger in
data recovery to the lowest:
• Backup all the data in your hard disk
• Prevent the equipment from being damaged again
• Don’t write anything to the device on which you want to recover data
• Try to get detailed information on how the data lost and the losing process
• Backup the data recovered in time.
6. Uses of Data Recovery
• Average User:
– Recover important lost files
– Keep your private information private
• Law enforcement:
– Locate illegal data
– Restore deleted/overwritten information.
– Prosecute criminals based on discovered data
7. The Scope of Data Recovery
There are so many forms and
phenomenon on data problem, we
can divide the objects or scope of
data recovery according to different
symptoms.
8. The Scope of Data Recovery
System problem:
Can not enter the system or the system is abnormal or
computer closes down.
Key file of system is lost or corrupted, there is some bad
track on hard disk, the hard disk is damaged, MBR or
DBR is lost, or the CMOS setting is incorrect and so on.
Bad track of hardisk:
logic and physical bad track.
Logic bad track is mainly caused by incorrect
operation, and it can be restored by software.
While physical bad track is caused by physical
damage, which is real damage, we can restore it
by changing the partition or sector.
9. The Scope of Data Recovery
Files loss
If files are lost because of deletion, format or
Ghost clone error, files restoring tools such as
Data Recovery Wizard can be used to recover
data.
Partition problem
partition cannot be identified and accessed, or partition is
identified as unformatted, partition recovery tools such as
Partition Table Doctor can be used to recover data.
10. Recovery Methods
• Hidden files
• Recycle bin
• Unerase wizards
• Assorted commercial programs
• Ferrofluid
– Coat surface of disk
– Check with optical microscope
– Does not work for more recent hard drives
11. Recovery Methods
• Scanning Probe Microscopy (SPM)
– Uses a sharp magnetic tip attached to a flexible cantilever
placed close to the surface to be analyzed, where it interacts
with the stray field emanating from the sample to produce a
topographic view of the surface
– Reasonably capable SPM can be built for about US$1400,
using a PC as a controller
– Thousands in use today
12. Recovery Methods
• Magnetic force microscopy (MFM)
– Recent technique for imaging magnetization patterns with
high resolution and minimal sample preparation.
– Derived from scanning probe microscopy (SPM)
– Uses a sharp magnetic tip attached to a flexible cantilever
placed close to the surface to be analyzed where it interacts
with the stray magnetic field
– An image of the field at the surface is formed by moving
the tip across the surface and measuring the force (or force
gradient) as a function of position. The strength of the
interaction is measured by monitoring the position of the
cantilever using an optical interferometer.
14. Recovery Methods
• Using MFM:
– Techniques can detect data by looking at the minute
sampling region to distinctly detect the remnant
magnetization at the track edges.
– Detectable old data will still be present beside the new data
on the track which is usually ignored
– In conjunction with software, MFM can be calibrated to see
past various kinds of data loss/removal. Can also do
automated data recovery.
– It turns out that each track contains an image of everything
ever written to it, but that the contribution from each
"layer" gets progressively smaller the further back it was
made.
15. How to Avoid Data Recovery
• Companies, agencies, or individuals may want to ensure their
data cannot be recovered.
• Simple deletion is not good enough.
• Faced with techniques such as MFM, truly deleting data from
magnetic media is very difficult
16. Secure Deletion:Government Standards
• Department of Justice
– DoD 5220.22-M – Type 1 degausser, followed by type 2
degausser, then three data overwrites (character, its
complement, random)
• Problems with government standards
– Often old and predate newer techniques for both recording
and recovering data.
– Predate higher recording densities of modern drives, the
adoption of sophisticated channel coding techniques, and
the use of MFM.
– Government standard may in fact be understated to fool
opposing intelligence agencies.
17. Secure Deletion Techniques
• Degaussing
– Process in which the media is returned to its initial state
– Coercivity – Amount of magnetic field necessary to reduce the
magnetic induction to zero. (measured in Oersteds)
– Effectively erasing a medium to the extent that data recovery is
uneconomical requires a magnetic force ~5x the coercivity.
– US Government guidelines on media coercivity:
• Class 1: 350 Oe coercivity or less
• Class 2: 350-750 Oe coercivity.
• Class 3: over 750 Oe coercivity
– Degaussers are available for classes 1 and 2. None known for fully
degaussing class 3 media.
18. Secure Deletion Techniques
• Technique 2: Multiple Overwrites
• Use an overwrite scheme
– Flip each magnetic domain on the disk back and forth as
much as possible
– Overwrite in alternating patterns to expose it to an
oscillating magnetic field.
– Overwrite with “junk” data several times
• Use the lowest frequency possible for overwrites
– Penetrates deeper into the recording medium
19. Secure Deletion Techniques
• Peter Guttman’s overwrite scheme:
– Meant to defeat all possible recovery techniques (MFM,
etc)
– Specifies 35 different overwrites
– Not all overwrites are needed if targeting specific recovery
method (i.e. MFM)
20. Secure Deletion Techniques
• Extremely Extreme Physical Destruction
– Chainsaws
– Sledge hammers
– Drop in a volcano
– Place on apex of a nuclear warhead
– Multiple rounds from a high caliber firearm
• Hard Drivers are tougher than you think
22. Matters Needs
Attention Before Recovery
• (1) Never operate on partition (such as write and create file)
where the data lost.
• (2) Please close any other application program when Data
Recovery Wizard 3.0 is running.
• (3) Make sure that there is no physical failure (such as
physical bad track) on the disk you are operating. If there is
any problem, please stop running Data Recovery Wizard 3.0,
and send your disk to maintenance station.
• (4) Do not save the recovered files to the original partition.
You need make sure that there is enough free space to save the
recovered data; also you can save your files to removable
devices or network devices.
23. Advantages And Disadvantages
• Data recovery tools can be used to
undo mistakes that you made that
resulted in lost data.
• Data consistency.
• Digital forensics
• To successfully use a data
recovery tool you will need to
determine the cause of your data
loss.
• A simple reboot cause the over
writing of data
• Data security.
• Recovery may generate
virus.
24. Conclusion
• From above discussion, we can say that the data recovery is
• Possible and it is not that much difficult. As we are recovering a data from
physical and logical damaging without loosing the content of data.
• The recovery data from the logically and/or physically damaged disk
drives, and the recovery of over written data is now been done with a good
amount of success. The data recovery now have become a handy tool to the
endusers as far as the logical damages are concerned, although the recovery
of data from the physically damaged drives and over written data, which is
done by the magnetic data recovery methods have still to reach at the end
users, the data recovery industry has grown through heights of technology,
that nowadays the situation is such that, data can be recovered from any
physically damaged drive untill it’s magnetic platters remain as such.And
in case of the magnetic
• Recovery also the present state-of-the-art has contributed alot to the data
recover industry that the magnetic recovery had reported recover of data
that had been over written upto 17 times.