A large amount of video files have been available due to the wide spread use of
surveillance camera, CCTVs, mobile cameras etc .Chances of corruption or damage of video file is a
critical condition in investigation cases. Video file sometimes play a crucial role in criminal cases.
Recovery of a corrupted or damaged video file is critical in digital forensics. A forensic analyst
examining a disk may encounter many fragments of deleted digital files, but is unable to determine
the proper sequence of fragments to rebuild the files. File restoration can be done using several
approaches which include file based approach and a frame based approach. This paper surveys
various techniques used for video file restoration. By analyzing we found that video file restoration
using a frame based approach provide a better efficiency compared to other techniques. And also we
can recover fragmented as well as partially overwritten files using frame based recovery
A large amount of video files have been available due to the wide spread use of
surveillance camera, CCTVs, mobile cameras etc .Chances of corruption or damage of video file is a
critical condition in investigation cases. Video file sometimes play a crucial role in criminal cases.
Recovery of a corrupted or damaged video file is critical in digital forensics. A forensic analyst
examining a disk may encounter many fragments of deleted digital files, but is unable to determine
the proper sequence of fragments to rebuild the files. File restoration can be done using several
approaches which include file based approach and a frame based approach. This paper surveys
various techniques used for video file restoration. By analyzing we found that video file restoration
using a frame based approach provide a better efficiency compared to other techniques. And also we
can recover fragmented as well as partially overwritten files using frame based recovery
During forensic examination, analysis of unallocated space of seized storage media is essential to extract the previously deleted or overwritten files when the file system metadata is missing or corrupted. The process of recovering files from the unallocated space based on file type-specific information (header and footer) and/or file contents is known as Data Carving. The research in this domain has witnessed various
technological enhancements in terms of tools and techniques over the past years. This paper surveys various data carving techniques, in particular multimedia files and classifies the research in the domain into three categories: classical carving techniques, smart carving techniques and modern carving
techniques. Further, seven popular multimedia carving tools are empirically evaluated. We conclude with the need to develop the new techniques in the field for carving multimedia files due to the fact that the fragmentation and compression are very common issues for these files
An Analyzing of different Techniques and Tools to Recover Data from Volatile ...ijsrd.com
Computer forensics has recently gained significant popularity with many local law enforcement agencies. It is currently employed in fraud, theft, drug enforcement and almost every other enforcement activity. There are many relatively new tools available that have been developed in order to recover and dissect the information that can be gleaned from data storage area like hard-disk, pen drive, etc. it's all like a volatile memory, but because this is a relatively new and fast-growing field many forensic analysts do not know or take advantage of these assets. Memory like Volatile memory may contain many pieces of information relevant to a forensic investigation, such as passwords, cryptographic keys, and other data. Having the knowledge which type of method use and tools needed to recover that data is essential, and this capability is becoming increasingly more relevant as hard drive encryption and other security mechanisms make traditional hard disk forensics more challenging. This research will cover the theory behind volatile memory analysis, including why it is important, what kinds of data can be recovered, and the potential pitfalls of this type of analysis, as well as techniques for recovering and analyzing volatile data and currently available toolkits that have been developed for this purpose.
Which of the following are features of Btrfs - A- relocating files and.docxSUKHI5
Which of the following are features of Btrfs ?
A. relocating files and subtrees online
B.
removing and adding devices online
c.
running filesystem checks & scrubs online
D.
multiple file systems (subvolumes) within a single partition
Solution
features of Btrfs from given question are:
a) relocating files and subtrees online
c)running filesysytem checks and scrubs online
d) multiple file system(sub volumes)with in a single partition.
some more features of Btrfs are:
1. Extent based file storage
2. Space-efficient packing of small files
3. Space-efficient indexed directories
4. Dynamic inode allocation
5. Writable snapshots, read-only snapshots
6. Subvolumes (separate internal filesystem roots)
7. Checksums on data and metadata (crc32c)
8. Efficient Incremental Backup
9. Background scrub process for finding and fixing errors on files with redundant copies
10. Online filesystem defragmentation
11. Offline filesystem check
12. n-place conversion of existing ext3/4 file systems
13. Subvolume-aware quota support
.
During forensic examination, analysis of unallocated space of seized storage media is essential to extract the previously deleted or overwritten files when the file system metadata is missing or corrupted. The process of recovering files from the unallocated space based on file type-specific information (header and footer) and/or file contents is known as Data Carving. The research in this domain has witnessed various
technological enhancements in terms of tools and techniques over the past years. This paper surveys various data carving techniques, in particular multimedia files and classifies the research in the domain into three categories: classical carving techniques, smart carving techniques and modern carving
techniques. Further, seven popular multimedia carving tools are empirically evaluated. We conclude with the need to develop the new techniques in the field for carving multimedia files due to the fact that the fragmentation and compression are very common issues for these files
An Analyzing of different Techniques and Tools to Recover Data from Volatile ...ijsrd.com
Computer forensics has recently gained significant popularity with many local law enforcement agencies. It is currently employed in fraud, theft, drug enforcement and almost every other enforcement activity. There are many relatively new tools available that have been developed in order to recover and dissect the information that can be gleaned from data storage area like hard-disk, pen drive, etc. it's all like a volatile memory, but because this is a relatively new and fast-growing field many forensic analysts do not know or take advantage of these assets. Memory like Volatile memory may contain many pieces of information relevant to a forensic investigation, such as passwords, cryptographic keys, and other data. Having the knowledge which type of method use and tools needed to recover that data is essential, and this capability is becoming increasingly more relevant as hard drive encryption and other security mechanisms make traditional hard disk forensics more challenging. This research will cover the theory behind volatile memory analysis, including why it is important, what kinds of data can be recovered, and the potential pitfalls of this type of analysis, as well as techniques for recovering and analyzing volatile data and currently available toolkits that have been developed for this purpose.
Which of the following are features of Btrfs - A- relocating files and.docxSUKHI5
Which of the following are features of Btrfs ?
A. relocating files and subtrees online
B.
removing and adding devices online
c.
running filesystem checks & scrubs online
D.
multiple file systems (subvolumes) within a single partition
Solution
features of Btrfs from given question are:
a) relocating files and subtrees online
c)running filesysytem checks and scrubs online
d) multiple file system(sub volumes)with in a single partition.
some more features of Btrfs are:
1. Extent based file storage
2. Space-efficient packing of small files
3. Space-efficient indexed directories
4. Dynamic inode allocation
5. Writable snapshots, read-only snapshots
6. Subvolumes (separate internal filesystem roots)
7. Checksums on data and metadata (crc32c)
8. Efficient Incremental Backup
9. Background scrub process for finding and fixing errors on files with redundant copies
10. Online filesystem defragmentation
11. Offline filesystem check
12. n-place conversion of existing ext3/4 file systems
13. Subvolume-aware quota support
.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Chapter #4 lab
1. Justin Andrews
ACSG 591
Lab 4.1
1. What is the file system used in this image?
c. FAT32
2. What is the time zone where this image was located?
b. Central
3. What is the total number of clusters contained in this image?
b. 120574
4. How many hidden sectors are contained in this image?
d. 2
5. On what date were the three files deleted?
b. 06/22/2009
Lab 4.2
1. What is the total number of clusters contained in this image?
c. 31487
2. What is the total size of this storage device in kilobytes?
a. 125951
3. How many clusters did the deleted MS Word document occupy in the image?
d. 8
4. What time was the bank.jpg file deleted?
d. 10:56
5. How many sectors are contained in each cluster?
c. 8
2. Lab 4.3
1. In the File Overview link, how many Total File Items were recovered?
b. 59
2. What is the total number of deleted files?
c. 13
3. How much Slack/Free Space is listed?
a. 10
4. What is listed in the Case Log?
c. a running log of all the work performed and the evidence with date and time stamps
5. In the Deleted Files link, what is the physical size of the deleted graphics image flie?
a. 22,528
Lab 4.4
1. What is the number of Total File Items recovered from the NTFS image?
c. 91
2. What is the number of graphic images recovered from the NTFS image?
c. 10
3. How many unknown file types are listed in the report?
a. 45
4. What is the physical size of the deleted graphic image file?
b. 24,528
5. What is the sector number for the deleted spreadsheet file?
d. 118,544
