Dark data refers to digital data that exists on devices but cannot be detected by most forensic tools. This includes unknown file types, data hidden in common file formats using techniques like steganography, and deleted data residing in unused disk space and file slack. Live forensics, which analyzes data on an active system, is challenging because system activity can destroy dark data; thus tools must collect it before other software interferes. Forensic Innovations develops technologies like File Investigator and File Expander to discover dark data and support law enforcement and partners in digital investigations.
Anti forensics-techniques-for-browsing-artifactsgaurang17
Anti-forensics refers to any technique, gadget or software designed to hamper a computer investigation. Achieve Security using Anti Forensics. Anti-forensics Includes: Encryption, stenography, disk cleaning, file wiping. Anti-Forensics mainly for the security purpose.For confidentiality of Information or Securing the Web-Transaction. Smart Criminals are using it to Harden the forensic Investigation.
For better or worse, electronic data is at the heart of many legal investigations. Therefore, it is becoming increasingly important for lawyers to have a basic understanding of computer forensics including:
- what computer forensics is and what types of things can a computer forensic expert do;
- types of mistakes lawyers or IT professionals make that can corrupt, alter, or destroy evidence that is key to investigations;
what types of electronic evidence exists;
- ways to work efficiently and effectively with a computer forensic expert; and
- when to consider hiring and how to choose a computer forensic expert as part of an investigation
Learn more from Winston & Strawn and listen to the presentation here: https://www.winston.com/en/thought-leadership/computer-forensics-what-every-lawyer-needs-to-know.html.
Digital Forensics is a very important and new skill which is useful to uncover data and interpreting digital data. Yet, not many people understand about it.
Computer forensics is the scientific process of preserving, identifying, extracting, documenting and interpreting data from computer systems, networks, wireless communications, and storage devices for legal purposes. It involves detecting information from deleted, encrypted or hidden files and recovering evidence from formatted hard drives. Computer forensics specialists investigate issues like hacking, fraud, data theft and more for law enforcement, companies and individuals. The process generally involves acquiring data from devices, identifying recoverable information, evaluating the data's significance, and properly presenting evidence in court.
HLT 2013 - Triaging Foreign Language Documents for MEDEX by Brian CarrierBasis Technology
This document discusses triaging foreign language documents for digital forensics investigations. It presents two scenarios where examiners encounter non-English documents and need to prioritize them for limited translator resources. An ideal solution would provide English executive summaries of documents. The proposed solution uses named entity recognition to extract who, what, where information and identify people on watch lists. It also uses concept dictionaries to find discussed topics. This solution would be implemented as a module in the open source Autopsy digital forensics platform to help investigators navigate and tag priority documents.
This document provides an overview of digital forensics. It discusses how data is stored on hard drives in allocated and unallocated space, including file slack and slack space. It describes the three types of digital evidence as active data, latent data, and archival data. It also explains key concepts such as file systems, operating systems, file allocation tables, and how deleting files works at the logical level. The goal is to educate legal professionals on understanding digital evidence and the process of computer forensics examinations.
Dark data refers to digital data that exists on devices but cannot be detected by most forensic tools. This includes unknown file types, data hidden in common file formats using techniques like steganography, and deleted data residing in unused disk space and file slack. Live forensics, which analyzes data on an active system, is challenging because system activity can destroy dark data; thus tools must collect it before other software interferes. Forensic Innovations develops technologies like File Investigator and File Expander to discover dark data and support law enforcement and partners in digital investigations.
Anti forensics-techniques-for-browsing-artifactsgaurang17
Anti-forensics refers to any technique, gadget or software designed to hamper a computer investigation. Achieve Security using Anti Forensics. Anti-forensics Includes: Encryption, stenography, disk cleaning, file wiping. Anti-Forensics mainly for the security purpose.For confidentiality of Information or Securing the Web-Transaction. Smart Criminals are using it to Harden the forensic Investigation.
For better or worse, electronic data is at the heart of many legal investigations. Therefore, it is becoming increasingly important for lawyers to have a basic understanding of computer forensics including:
- what computer forensics is and what types of things can a computer forensic expert do;
- types of mistakes lawyers or IT professionals make that can corrupt, alter, or destroy evidence that is key to investigations;
what types of electronic evidence exists;
- ways to work efficiently and effectively with a computer forensic expert; and
- when to consider hiring and how to choose a computer forensic expert as part of an investigation
Learn more from Winston & Strawn and listen to the presentation here: https://www.winston.com/en/thought-leadership/computer-forensics-what-every-lawyer-needs-to-know.html.
Digital Forensics is a very important and new skill which is useful to uncover data and interpreting digital data. Yet, not many people understand about it.
Computer forensics is the scientific process of preserving, identifying, extracting, documenting and interpreting data from computer systems, networks, wireless communications, and storage devices for legal purposes. It involves detecting information from deleted, encrypted or hidden files and recovering evidence from formatted hard drives. Computer forensics specialists investigate issues like hacking, fraud, data theft and more for law enforcement, companies and individuals. The process generally involves acquiring data from devices, identifying recoverable information, evaluating the data's significance, and properly presenting evidence in court.
HLT 2013 - Triaging Foreign Language Documents for MEDEX by Brian CarrierBasis Technology
This document discusses triaging foreign language documents for digital forensics investigations. It presents two scenarios where examiners encounter non-English documents and need to prioritize them for limited translator resources. An ideal solution would provide English executive summaries of documents. The proposed solution uses named entity recognition to extract who, what, where information and identify people on watch lists. It also uses concept dictionaries to find discussed topics. This solution would be implemented as a module in the open source Autopsy digital forensics platform to help investigators navigate and tag priority documents.
This document provides an overview of digital forensics. It discusses how data is stored on hard drives in allocated and unallocated space, including file slack and slack space. It describes the three types of digital evidence as active data, latent data, and archival data. It also explains key concepts such as file systems, operating systems, file allocation tables, and how deleting files works at the logical level. The goal is to educate legal professionals on understanding digital evidence and the process of computer forensics examinations.
The presentation is all about computer forensics. the process , the tools and its features and some example scenarios.. It will give you a great insight into the computer forensics
This document provides an overview of computer forensics. It defines computer forensics and explains its need in addressing rising cybercrime. It outlines types of computer forensics and common cybercrimes. The document also describes the components and steps involved in computer forensics investigations, including acquiring evidence, creating forensic images, and analyzing data. It discusses important digital evidence sources like metadata, slack space, swap files, and unallocated space.
The document provides an overview of a training on practical demonstrations of digital forensic tools. It introduces the instructor and their qualifications. The agenda includes an introduction to digital forensics, computer forensic processes, and demonstrations of forensic tools like FTK Imager and EnCase. Key points covered are the forensic investigation process of acquiring, analyzing, and reporting evidence from a computer, and types of data like active, latent, and archival that can be extracted.
The document discusses the roles and responsibilities of a computer forensic investigator. It explains that an investigator must gather digital evidence in a forensically-sound manner from various computer systems and devices. This includes recovering deleted files, analyzing file slack and unallocated space, validating email messages, and using file hashes and metadata to determine what files were created on which devices. The goal is to properly handle, analyze, and present admissible digital evidence in court.
The document discusses anti-forensic rootkits and techniques that can manipulate digital evidence collected through live forensic imaging. It presents DDefy, a proof-of-concept anti-forensic rootkit that intercepts disk read requests and modifies the data returned to hide sensitive information from live forensic tools. DDefy demonstrates that current live imaging methods are insufficient to guarantee collection of untainted evidence, as they rely on the compromised system to provide the data. Better techniques are needed to directly acquire disk data and confirm it matches the kernel and userland views.
The article briefly touches upon hiding, finding and destroying data
on Linux file systems. It should become clear that the area of computer
forensics, aimed at recovering the evidence from captured disk drives,
has many challenges, requiring knowledge of hardware, operating
systems and application software.
How to Avoid the Spying of EEUU & other Practical Solutions Computing: Protec...AbundioTeca
In this guide, we are going to offer you a package of measures to solve security problems common to all the Interneticians: Navigation (anonymity on the Web), protection of data (files), malicious hacking, protection of the computer, communications in the Network 100 % Secure, etc.
All the tools and information that we offer below are free, free, and legitimate, however, its use and application is your decision.
This document discusses digital evidence and its analysis methodology. Digital evidence includes information stored on electronic devices like computers, cell phones, hard drives, etc. It must be properly seized, secured and analyzed to avoid contamination. A bit-stream image of storage devices should be created and verified using hashing. Files, slack space and unallocated space are analyzed for keywords. File dates, names and anomalies are documented. The Information Technology Act of 2000 covers various cybercrimes and penalties.
This document provides an overview of computer forensics, including key terminology, how data is stored and retrieved from hard drives, and the process of acquiring forensic images. It discusses the difference between visible and latent data, and explains that visible data is what the operating system is aware of, like documents, while latent data includes things like file slack, RAM, and deleted files. It emphasizes that a forensic examiner must acquire data in a way that does not alter any bits and uses techniques like hashing to prove the integrity of acquired images.
This document provides an overview of computer operating system artifacts that can be examined for digital forensics purposes. It discusses finding deleted data by examining the recycle bin and data recovery tools. It also covers examining the window registry, hibernation files, restore points and shadow copies, and understanding metadata. The document is compiled by Akash Mehta and provides details on each of these forensic analysis topics in 3 sentences or less.
Computer forensics is the science of investigating digital devices and media for legal evidence. It began in the late 1980s with the creation of organizations like IACIS. Investigators use methods to detect and recover hidden, deleted, or encrypted data through techniques like disk analysis, steganalysis, and data carving. They must have expertise in operating systems, file systems, data storage, and encryption to properly handle electronic evidence for criminal and civil cases. While computer forensics allows thorough searches and analysis of large amounts of data, it also faces challenges such as ensuring evidence integrity and overcoming costs.
What Are You Looking ForThe variety of operating systems, appli.docxalanfhall8953
What Are You Looking For?
The variety of operating systems, application programs, and storage methods available today means that when it comes to looking for evidence there are a multitude of places to look. Digital evidence can be found in numerous sources, including stored data, applications used to create data, and the computer system that produced the activity. Systems can be huge and complex, and they can change rapidly. Data can be hidden in many different locations and formats. After you find such data, you may have to process it to make it readable by people.
Discovering Evidence Using Connectors
In recent years, manufacturers have developed branded forensic workstations that provide external native connectors for a variety of media, such as Serial ATA (SATA), SCSI (Small Computer System Interface), flash media, and the older IDE (Integrated Drive Electronics) drives. SATA hard drives are more commonly used by individuals, while SCSI hard drives are more likely to be found in a corporate environment.) As a forensic investigator, you will encounter and work with many different types of media. You may also encounter connectors that hook up FireWire to SATA, SCSI, or IDE, and that hook up USB to SATA, SCSI, or IDE. A forensic investigator will determine what media the suspect has been using to store data and will have a variety of connectors on hand to aid the investigation.
connector
The part of a cable that plugs into a port or interface to connect devices. Male connectors are identified by exposed pins. Female connectors are identified by holes into which the male connector can be inserted.
The general discovery process is the same whether you are working with a SATA, SCSI, or IDE drive. You should adapt your techniques to suit the hardware you encounter.
To begin the discovery process for a drive, copy the image file onto your forensic workstation and then process it using one or several different forensic tools such as FTK, Encase, or ProDiscover.
Network Activity Files
Let's use an example case that involves the Internet and pictures. During your career as a forensic investigator, you may be called upon to investigate situations where an employee has illegally accessed and downloaded pictures of proprietary designs from a competitor's internal Web site and then used these designs in his or her own work.
After the forensic image has been added to your forensic computer, open your forensic software and start a case. Figure 6.1 shows the New Case Wizard from the AccessData Forensic Toolkit (FTK).
Figure 6.1: AccessData's Forensic Toolkit New Case Wizard
When a user logs on to a Windows XP, Vista, or Windows 7 system for the first time, a directory structure is created to hold that individual user's files and settings. This structure is called the profile. The profile creates a directory that has the same name as the user, along with various other folders and files.
Because this case involves searching for images that were downloaded .
Types of Computer Forensics Technology, Types of Military Computer Forensic Technology, Types of Law Enforcement, Computer Forensic Technology, Types of Business Computer Forensic Technology, Specialized Forensics Techniques, Hidden Data and How to Find It, Spyware and Adware, Encryption Methods and Vulnerabilities, Protecting Data from Being Compromised Internet Tracing Methods, Security and Wireless Technologies, Avoiding Pitfalls with Firewalls Biometric Security Systems
The document discusses the author's perspectives on file formats after over 30 years of experience working with computers and digital preservation. The author believes specifications are imperfect and do not fully define what constitutes a valid file, as implementations can interpret specifications differently and become outdated. The author has experimented with creating extreme files that push the boundaries of specifications in order to understand formats better and find potential issues.
Debian Linux as a Forensic Workstation Vipin George
This document discusses using Debian GNU/Linux as a forensic workstation. It begins with an introduction to digital forensics and defines it as the gathering and analysis of digital information for use as legal evidence. It then discusses why Debian is suitable as a forensic workstation due to its stability, large set of forensic tools, and ability to avoid infecting evidence. The rest of the document outlines the stages of a forensic investigation and various tools that can be used at each stage, including acquiring disk images, examining disk images, collecting volatile memory data, and network forensics.
What One Digital Forensics Expert Found on Hundreds of Hard Drives, iPhones a...Blancco
Do organizations have a defined process for wiping sensitive company information before discarding/reselling old drives and mobile devices?
In this webinar, Randy F. Smith and data security experts from Blancco Technology Group explore the following topics:
- How easily residual data can be recovered from hard drives and mobile devices
- The risks leftover data can pose to organizations
- The most secure ways to wipe company data from end-of-life devices and drives
This document discusses the digital forensic capabilities of the dracOs Linux distribution. It provides an overview of dracOs and its focus on digital forensics. It describes the current state of forensic tools integrated in dracOs and plans to develop a live CD for acquisition and analysis and new forensic tools. It also covers key aspects of digital forensics like stages of acquisition, analysis and reporting and categories of forensic techniques like device type, volatility and format type. Specific open source tools supported in dracOs are highlighted for tasks like disk imaging, file carving, file analysis, anti-malware, memory analysis and more. Contributing to dracOs's development is encouraged.
Seminar on Mobile Forensic and Computer Security 2017
Universitas Ahmad Dahlan
Yogyakarta, 2017-02-17
dracOs is a linux distro for cyber security activity. But most of us know cyber security as offensive activity. How about digital forensic?
Here we are discussing about dracOs and masterplan for digital forensic in future release.
This document provides an overview of digital forensics and related topics. It discusses autopsy procedures, computer forensics, memory analysis, volatile vs. non-volatile memory, encryption and steganography techniques, network analysis, challenges in the field, terms used, and how to become a forensics expert. Anti-forensics methods like encryption and data hiding are also covered.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
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The presentation is all about computer forensics. the process , the tools and its features and some example scenarios.. It will give you a great insight into the computer forensics
This document provides an overview of computer forensics. It defines computer forensics and explains its need in addressing rising cybercrime. It outlines types of computer forensics and common cybercrimes. The document also describes the components and steps involved in computer forensics investigations, including acquiring evidence, creating forensic images, and analyzing data. It discusses important digital evidence sources like metadata, slack space, swap files, and unallocated space.
The document provides an overview of a training on practical demonstrations of digital forensic tools. It introduces the instructor and their qualifications. The agenda includes an introduction to digital forensics, computer forensic processes, and demonstrations of forensic tools like FTK Imager and EnCase. Key points covered are the forensic investigation process of acquiring, analyzing, and reporting evidence from a computer, and types of data like active, latent, and archival that can be extracted.
The document discusses the roles and responsibilities of a computer forensic investigator. It explains that an investigator must gather digital evidence in a forensically-sound manner from various computer systems and devices. This includes recovering deleted files, analyzing file slack and unallocated space, validating email messages, and using file hashes and metadata to determine what files were created on which devices. The goal is to properly handle, analyze, and present admissible digital evidence in court.
The document discusses anti-forensic rootkits and techniques that can manipulate digital evidence collected through live forensic imaging. It presents DDefy, a proof-of-concept anti-forensic rootkit that intercepts disk read requests and modifies the data returned to hide sensitive information from live forensic tools. DDefy demonstrates that current live imaging methods are insufficient to guarantee collection of untainted evidence, as they rely on the compromised system to provide the data. Better techniques are needed to directly acquire disk data and confirm it matches the kernel and userland views.
The article briefly touches upon hiding, finding and destroying data
on Linux file systems. It should become clear that the area of computer
forensics, aimed at recovering the evidence from captured disk drives,
has many challenges, requiring knowledge of hardware, operating
systems and application software.
How to Avoid the Spying of EEUU & other Practical Solutions Computing: Protec...AbundioTeca
In this guide, we are going to offer you a package of measures to solve security problems common to all the Interneticians: Navigation (anonymity on the Web), protection of data (files), malicious hacking, protection of the computer, communications in the Network 100 % Secure, etc.
All the tools and information that we offer below are free, free, and legitimate, however, its use and application is your decision.
This document discusses digital evidence and its analysis methodology. Digital evidence includes information stored on electronic devices like computers, cell phones, hard drives, etc. It must be properly seized, secured and analyzed to avoid contamination. A bit-stream image of storage devices should be created and verified using hashing. Files, slack space and unallocated space are analyzed for keywords. File dates, names and anomalies are documented. The Information Technology Act of 2000 covers various cybercrimes and penalties.
This document provides an overview of computer forensics, including key terminology, how data is stored and retrieved from hard drives, and the process of acquiring forensic images. It discusses the difference between visible and latent data, and explains that visible data is what the operating system is aware of, like documents, while latent data includes things like file slack, RAM, and deleted files. It emphasizes that a forensic examiner must acquire data in a way that does not alter any bits and uses techniques like hashing to prove the integrity of acquired images.
This document provides an overview of computer operating system artifacts that can be examined for digital forensics purposes. It discusses finding deleted data by examining the recycle bin and data recovery tools. It also covers examining the window registry, hibernation files, restore points and shadow copies, and understanding metadata. The document is compiled by Akash Mehta and provides details on each of these forensic analysis topics in 3 sentences or less.
Computer forensics is the science of investigating digital devices and media for legal evidence. It began in the late 1980s with the creation of organizations like IACIS. Investigators use methods to detect and recover hidden, deleted, or encrypted data through techniques like disk analysis, steganalysis, and data carving. They must have expertise in operating systems, file systems, data storage, and encryption to properly handle electronic evidence for criminal and civil cases. While computer forensics allows thorough searches and analysis of large amounts of data, it also faces challenges such as ensuring evidence integrity and overcoming costs.
What Are You Looking ForThe variety of operating systems, appli.docxalanfhall8953
What Are You Looking For?
The variety of operating systems, application programs, and storage methods available today means that when it comes to looking for evidence there are a multitude of places to look. Digital evidence can be found in numerous sources, including stored data, applications used to create data, and the computer system that produced the activity. Systems can be huge and complex, and they can change rapidly. Data can be hidden in many different locations and formats. After you find such data, you may have to process it to make it readable by people.
Discovering Evidence Using Connectors
In recent years, manufacturers have developed branded forensic workstations that provide external native connectors for a variety of media, such as Serial ATA (SATA), SCSI (Small Computer System Interface), flash media, and the older IDE (Integrated Drive Electronics) drives. SATA hard drives are more commonly used by individuals, while SCSI hard drives are more likely to be found in a corporate environment.) As a forensic investigator, you will encounter and work with many different types of media. You may also encounter connectors that hook up FireWire to SATA, SCSI, or IDE, and that hook up USB to SATA, SCSI, or IDE. A forensic investigator will determine what media the suspect has been using to store data and will have a variety of connectors on hand to aid the investigation.
connector
The part of a cable that plugs into a port or interface to connect devices. Male connectors are identified by exposed pins. Female connectors are identified by holes into which the male connector can be inserted.
The general discovery process is the same whether you are working with a SATA, SCSI, or IDE drive. You should adapt your techniques to suit the hardware you encounter.
To begin the discovery process for a drive, copy the image file onto your forensic workstation and then process it using one or several different forensic tools such as FTK, Encase, or ProDiscover.
Network Activity Files
Let's use an example case that involves the Internet and pictures. During your career as a forensic investigator, you may be called upon to investigate situations where an employee has illegally accessed and downloaded pictures of proprietary designs from a competitor's internal Web site and then used these designs in his or her own work.
After the forensic image has been added to your forensic computer, open your forensic software and start a case. Figure 6.1 shows the New Case Wizard from the AccessData Forensic Toolkit (FTK).
Figure 6.1: AccessData's Forensic Toolkit New Case Wizard
When a user logs on to a Windows XP, Vista, or Windows 7 system for the first time, a directory structure is created to hold that individual user's files and settings. This structure is called the profile. The profile creates a directory that has the same name as the user, along with various other folders and files.
Because this case involves searching for images that were downloaded .
Types of Computer Forensics Technology, Types of Military Computer Forensic Technology, Types of Law Enforcement, Computer Forensic Technology, Types of Business Computer Forensic Technology, Specialized Forensics Techniques, Hidden Data and How to Find It, Spyware and Adware, Encryption Methods and Vulnerabilities, Protecting Data from Being Compromised Internet Tracing Methods, Security and Wireless Technologies, Avoiding Pitfalls with Firewalls Biometric Security Systems
The document discusses the author's perspectives on file formats after over 30 years of experience working with computers and digital preservation. The author believes specifications are imperfect and do not fully define what constitutes a valid file, as implementations can interpret specifications differently and become outdated. The author has experimented with creating extreme files that push the boundaries of specifications in order to understand formats better and find potential issues.
Debian Linux as a Forensic Workstation Vipin George
This document discusses using Debian GNU/Linux as a forensic workstation. It begins with an introduction to digital forensics and defines it as the gathering and analysis of digital information for use as legal evidence. It then discusses why Debian is suitable as a forensic workstation due to its stability, large set of forensic tools, and ability to avoid infecting evidence. The rest of the document outlines the stages of a forensic investigation and various tools that can be used at each stage, including acquiring disk images, examining disk images, collecting volatile memory data, and network forensics.
What One Digital Forensics Expert Found on Hundreds of Hard Drives, iPhones a...Blancco
Do organizations have a defined process for wiping sensitive company information before discarding/reselling old drives and mobile devices?
In this webinar, Randy F. Smith and data security experts from Blancco Technology Group explore the following topics:
- How easily residual data can be recovered from hard drives and mobile devices
- The risks leftover data can pose to organizations
- The most secure ways to wipe company data from end-of-life devices and drives
This document discusses the digital forensic capabilities of the dracOs Linux distribution. It provides an overview of dracOs and its focus on digital forensics. It describes the current state of forensic tools integrated in dracOs and plans to develop a live CD for acquisition and analysis and new forensic tools. It also covers key aspects of digital forensics like stages of acquisition, analysis and reporting and categories of forensic techniques like device type, volatility and format type. Specific open source tools supported in dracOs are highlighted for tasks like disk imaging, file carving, file analysis, anti-malware, memory analysis and more. Contributing to dracOs's development is encouraged.
Seminar on Mobile Forensic and Computer Security 2017
Universitas Ahmad Dahlan
Yogyakarta, 2017-02-17
dracOs is a linux distro for cyber security activity. But most of us know cyber security as offensive activity. How about digital forensic?
Here we are discussing about dracOs and masterplan for digital forensic in future release.
This document provides an overview of digital forensics and related topics. It discusses autopsy procedures, computer forensics, memory analysis, volatile vs. non-volatile memory, encryption and steganography techniques, network analysis, challenges in the field, terms used, and how to become a forensics expert. Anti-forensics methods like encryption and data hiding are also covered.
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Dark Data Hiding in your Records: Opportunity or Danger?
1. Dark DataHiding in your RecordsOpportunity or Danger? Rob Zirnstein President Forensic Innovations January 19th, 2011
2. Darth Vader? No, “Dark Data”, but they both Are often associated with evil Keep secrets (“Luke, I’m your father”) Are potentially harmful
3. Dark Matter? No, “Dark Data”! But they both Go undetected Are surrounded by detectable stuff Affect things around them
4. What is Dark Data? Dark Data in our digital devices Everyone creates it (unintentionally) Criminals may hide it (Anti-Forensics) Forensic tools can’t see it But it is there! Data that we can’t see On our hard drives On out flash drives In our computer files
5. Where is Dark Data? DCO & HPA Unformatted Disk Space Deleted Files Unknown Files Between Files Inside Common Files Deleted Data Objects
6. Hard Drive Layout Device Configuration Overlay (DCO) http://www.forensicswiki.org/wiki/SAFE_Block_XP Data Cleaner+ http://www.mp3cdsoftware.com/blancco---data-cleaner--download-16317.htm http://www.utica.edu/academic/institutes/ecii/publications/articles/EFE36584-D13F-2962-67BEB146864A2671.pdf Host Protected Area (HPA) http://www.thinkwiki.org/wiki/Hidden_Protected_Area Forensic Duplicator http://www.tableau.com/pdf/en/Tableau_TD1_Product_Brief.pdf HDD Capacity Restore Tool http://hddguru.com/software/2007.07.20-HDD-Capacity-Restore-Tool/ Unformatted Disk Space
7. Deleted Files Deleted Files aren’t really gone? Unused Disk Space (in a volume) Disk Caches / Swap Files Windows Recycle Bin Are they hard to recover? Fragmentation is deadly Large databases tend to be heavily fragmented Even DFRWS Researchers find that fragmentation can make some file types impossible to recover (http://www.dfrws.org/2007/challenge/results.shtml)
8. Unknown Files (1) 500 types of files handled by eDiscovery, Document Management & Computer Forensics Tools 50,000+* types of files in the world 5,000 types of files typically in use *http://filext.com
10. Between Files Alternate Data Streams (ADS) Files hiding behind files (on NTFS) RAM Slack Padding between the end of a file and the end of the current sector Typically zeros, sometimes random content File/Cluster/Residual/Drive Slack Padding between sectors used & the end of the current cluster Previous sector content that should be used in File Carving http://www.forensics-intl.com/def6.html
11. Inside Common Files Deleted Objects Ex: Adobe PDF & MS Office 2003 (OLE) not removing deleted data (change tracking) Smuggled Objects Ex: MS Office 2007 (Zip) and MS Wave (RIFF) formats ignore foreign objects Object / Stream Slack Ex: OLE objects have sector size issues, just like with disk sectors Field Slack Ex: Image files that don’t use the whole palette, and/or less than 8/16/32/48 bpp Steganography
12. Smuggled Objects Some formats ignore foreign objects MS Office 2007 (Zip) MS Wave (RIFF) This example I added a file to a Word 2007 document. The document opens without any error.
15. Dark Data Can Be Fragile Deleting Files without using the Recycle Bin. SHIFT + DEL Defragmenting a hard drive. Installing Applications. Turning off “Track Changes” & “Fast Save” options. Using Redaction Tools. MS Word - http://redaction.codeplex.com PDF - http://www.appligent.com/redax PDF - http://www.rapidredact.com Using Data Wipers. SafeErase - http://www.oo-software.com CyberScrub - http://www.cyberscrub.com
16. Dangers You may loose a law suit if the other side finds what you missed. Corporate Digital Assets may be walking out the door. Intellectual Property theft can put a company out of business.
17. Opportunities Protect your company by being Aware of your Digital Assets. Illegal content may be hidden accidentally or intentionally. Recover lost Digital Assets by knowing where to look. Employee misconduct is tracked by the hidden trail of improper acts. Catch Intellectual Property theft before it walks out the door. Identify in-house criminals by detecting their smuggling methods.
18. What Does FI Do? Create Technologies to Capture Dark Data File Investigator File Expander File Harvester Equip Law Enforcement with Tools FI TOOLS FI Object Explorer FI Data Profiler Portable
19.
20. Thank you Contact Rob Zirnstein Rob.Zirnstein@ForensicInnovations.com www.ForensicInnovations.com (317) 430-6891
Editor's Notes
This presentation was provided for an ARMA Indianapolis Chapter meeting.
How did I get the term “Dark Data”? Not from Darth Vader, but they do have some things in common.
I copied “Dark Matter”, because it also goes undetected yet still affects things (objects/solar systems) around it.This image was created by observing the gravitational effects on light and objects around the matter. No instrument can actually see the dark matter directly.
Dark Data is in everything digital that we create, yet we don’t see it.
Dark Data is hiding in the most unsuspecting places.
DCO – Used to reduce the disk size to exactly match the size of another hard drive. This makes it easier to clone hard drives.HPA – Used to store vendor utilities on a hard drive, where a user can’t delete them.These areas are difficult to access and add or remove.Unformatted Disk Space is the remaining space that has not been allocated to a disk volume that the user can access.
Many recovery tools falsely report their recovery success. Many of the successfully recovered files are actually corrupted with other file fragments.
Most Forensics Tools keep these files in the Exception Bin. Have you ever seen an investigation with an empty Exception Bin? What if the best evidence was hiding in that Exception Bin?!?Ex: Hidden TrueCrypt volume file, that looks like random data.
The list on the left was produced with Windows, as an extreme example. Although, many eDiscovery tools don’t do much better than this.The list on the right was produced by a tool that specializes in accurately identifying thousands of file types.Notice the 3 Alternate Data Streams identified on the right. They weren’t just detected, but analyzed to catch any hidden file types.
Many tools combine RAM slack with Drive Slack. This causes confusion when file carving for partial files, because these slacks come from different sources.
Common files may contain stowaways.Bpp = Bits Per Pixel
Step 1: Rename the file to be smuggled to ‘document.xml’ (I used a simple text file)Step 2: Rename Word.docx to Word.zipStep 3: Open Word.zip with WinZipStep 4: Add the new smuggled ‘document.xml’ to Word.zip (in the root)Step 5: Rename Word.zip to Word.docx
This example shows an MS Outlook Form Template that was edited to remove part of a sentence. The deleted content is still there!When the paragraph/object shrank, the Stream Slack inherited the end of the paragraph.Existing Redaction tools use Microsoft libraries that ignore the Stream Slack.
Smuggled data is broken down into bits and substituted for picture data that doesn’t effect the visible image enough to be noticed.May just change 1 bit per pixel, or fill the Field Slack.The smuggled data may also be encrypted before insertion.
Here are some methods for cleaning out and preventing Dark Data.
Researching tools that can track & redact metadata andDark Data artifacts is vital in your fight against misconduct. If your IT department isn’t doing this, then you are your company’s last line of defense.