Digital Forencis.pdf
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Digital forensics involves preserving, identifying, analyzing, documenting, and presenting digital evidence in a way that maintains its integrity for use in legal cases. The process includes collecting relevant evidence from computers, networks, firewalls, databases, and mobile devices, analyzing it to determine what was accessed or stolen, and summarizing the findings to help trace the distribution of any stolen information. Popular digital forensics software tools aid in areas like network, firewall, and mobile device analysis and help determine the accuracy of investigation results.
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Digital forensics involves the scientific analysis of digital evidence extracted from devices such as computers, laptops, mobiles, and storage devices. It aims to properly extract, analyze and document digital evidence for use in court. There are different stages including identifying purpose and resources, analyzing data using tools, interpreting results, documenting conclusions, and securing data for future use as evidence. Various branches of digital forensics examine different sources of digital evidence, such as network traffic and logs, firewall logs, databases, mobile devices, and email servers and accounts. Specialized tools are used to extract valuable information from these sources and assist with investigations.
Lessons v on fraud awareness (digital forensics) [autosaved]
Digital forensics is the scientific process of analyzing digital evidence from computers, mobile devices, and other electronic storage mediums. It involves securely acquiring and preserving digital evidence, extracting and analyzing relevant information, and documenting the process to present findings in a court of law. The key stages of digital forensics are identification, collection, analysis, interpretation, documentation and presentation of digital evidence. There are several branches of digital forensics including network forensics, firewall forensics, database forensics, mobile device forensics, and email forensics. Maintaining a proper chain of custody is also important to ensure digital evidence remains untampered and admissible in court.
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Digital forensic science in its simplest terms is the process used for examining and interpreting data that can be found on digital devices such as computers, mobile phones, hard drives, and any other device that has internal memory and communication ability.
Know more: https://www.icfeci.com/services/
Digital forensics Steps
Download DOC word file from below Links:
Link 1 :http://gestyy.com/eiT4WO
Link 2: http://fumacrom.com/RQUm
Disclaimer: Above doc file is only for education purpose only
Process of Digital forensics
Identification
Preservation
Analysis
4. Presentation and Reporting:
5. Disseminating the case:
What is acquisition in digital forensics?
How to handle data acquisition in digital forensics
Types of Digital Forensics
Disk Forensics
Network Forensics
Wireless Forensics
Database Forensics
Recommended
IT forensic
1. IT Security
2. VAPT and Threats Analysis
3. Computer Forensics
4. Ethical Hacking (CEH)
5. Communication Security (Smartphone / Tablets)
6. Networks Essentials
7. Introduction to Information security
8. Foot printing and Reconnaissance
9. Scanning Networks
10. Vulnerability Scanning
11. Data Leakage Prevention
12. Trojans and Backdoors
13. Viruses and Worms
14. Sniffers
15. Hacking Web Applications
16. IDS, Firewalls, and Honey pots
17. Cryptography
18. Penetration Testing
19. TSCM (Technical Surveillance Counter Measure)
N.sai kiran IIITA AP
This document provides an overview of cybercrime and cybersecurity. It discusses hackers and their motivations, basic concepts in cybercrime investigation tools, and precautions individuals and businesses can take. Cybercrime is defined as crimes where computers are the object or subject. Common hacker profiles and business vulnerabilities are outlined. The role of computer forensics in investigating cybercrimes is also summarized.
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Digital forensics involves the scientific analysis of digital evidence extracted from devices such as computers, laptops, mobiles, and storage devices. It aims to properly extract, analyze and document digital evidence for use in court. There are different stages including identifying purpose and resources, analyzing data using tools, interpreting results, documenting conclusions, and securing data for future use as evidence. Various branches of digital forensics examine different sources of digital evidence, such as network traffic and logs, firewall logs, databases, mobile devices, and email servers and accounts. Specialized tools are used to extract valuable information from these sources and assist with investigations.
Lessons v on fraud awareness (digital forensics) [autosaved]
Digital forensics is the scientific process of analyzing digital evidence from computers, mobile devices, and other electronic storage mediums. It involves securely acquiring and preserving digital evidence, extracting and analyzing relevant information, and documenting the process to present findings in a court of law. The key stages of digital forensics are identification, collection, analysis, interpretation, documentation and presentation of digital evidence. There are several branches of digital forensics including network forensics, firewall forensics, database forensics, mobile device forensics, and email forensics. Maintaining a proper chain of custody is also important to ensure digital evidence remains untampered and admissible in court.
5 Key Steps Involved In Digital Forensic Science
Digital forensic science in its simplest terms is the process used for examining and interpreting data that can be found on digital devices such as computers, mobile phones, hard drives, and any other device that has internal memory and communication ability.
Know more: https://www.icfeci.com/services/
Digital forensics Steps
Download DOC word file from below Links:
Link 1 :http://gestyy.com/eiT4WO
Link 2: http://fumacrom.com/RQUm
Disclaimer: Above doc file is only for education purpose only
Process of Digital forensics
Identification
Preservation
Analysis
4. Presentation and Reporting:
5. Disseminating the case:
What is acquisition in digital forensics?
How to handle data acquisition in digital forensics
Types of Digital Forensics
Disk Forensics
Network Forensics
Wireless Forensics
Database Forensics
Digital forensic science and its scope manesh t
This document provides an overview of digital forensics and network forensics. It discusses key topics such as the differences between digital forensics and computer security, common types of digital evidence like disk, memory, and mobile forensics, and the basic steps involved in a digital forensics investigation including identification, acquisition, authentication, analysis, and presentation. It also provides examples of tools used for different types of digital forensics examinations and summarizes the scope and career paths within the field of computer forensics.
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TinyCheck allows you to easily capture network communications from a smartphone or any device which can be associated to a Wi-Fi access point in order to quickly analyze them. This can be used to check if any suspect or malicious communication is outgoing from a smartphone. (https://github.com/felixaime/TinyCheck-1)
In addition to showing what an excellent defense tool TinyCheck is, in my talk I’ll show how I have modified it for forensic acquisition of messaging application in support for LE, obtaining a tool that users can fully inspect to verify what’s happening in every step of the acquisition.Conceptual Study of Mobile Forensics
The use of digital devices in day to day life has increased tremendously. Mobile devices have become an vital part of our day to day routine and they are prone to facilitating illegal activity or otherwise being involved when crimes occur. Whereas computers, laptops, servers, and gaming devices might have many users, in the vast majority of cases, mobile devices generally belong to an individual. The science behind recovering digital evidence from mobile phones is called mobile forensics. Digital evidence is defined as data and information that is stored on, received, or transmitted by an electronic device that is used for investigations. Digital evidence encompasses any and all digital data that can be used as evidence in a case. Mobile devices present many challenges from a forensic viewpoint. With new models being developed each day, it is extremely difficult to develop a single process or tool to address all the possibilities an investigator may face. Court cases also need to be taken into consideration as mobile devices are being seized and analyzed. Mr. I. A. Attar | Mr. M. M. Kapale "Conceptual Study of Mobile Forensics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29476.pdfPaper URL: https://www.ijtsrd.com/computer-science/world-wide-web/29476/conceptual-study-of-mobile-forensics/mr-i-a-attar
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Computer forensics involves identifying, preserving, analyzing, and presenting digital evidence from computers or other electronic devices in a way that is legally acceptable. The main goal is not only to find criminals, but also to find evidence and present it in a way that leads to legal action. Cyber crimes occur when technology is used to commit or conceal offenses, and digital evidence can include data stored on computers in persistent or volatile forms. Computer forensics experts follow a methodology that involves documenting hardware, making backups, searching for keywords, and documenting findings to help with criminal prosecution, civil litigation, and other applications.
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Computer forensics is expected to face significant changes over the next 5-50 years:
- Within 5 years, storage capacity and processing speeds will increase dramatically, resulting in exponentially more data to analyze per case. Automated tools will help speed up initial processing but full analyses may still take similar time.
- By 10 years, computers may be much smarter and interfaces more advanced, changing the examiner's role. Experts will need deeper knowledge of human-computer interactions. Malware threats will likely escalate as well.
- Predicting 50 years is difficult but storage capacities may reach zettabytes, fit in dental fillings. Computers may surpass human intelligence. The legal system may remain
180 184
This document summarizes a study on digital forensics. It discusses the tools used in digital forensics including DriveSpy and Forensic Tool Kit (FTK). It outlines the digital evidence collection process as: 1) Identify systems involved and likely relevant evidence, 2) Collect, observe and preserve evidence following order of volatility, 3) Analyze, identify and rebuild evidence while verifying results. Common reasons for needing digital forensics are discussed like unauthorized access, denial of service attacks, and virus/worm/Trojan attacks. Strategies for computer forensics include preserving evidence without altering it, authenticating recovered evidence, and analyzing without modification. Tools like EnCase are also summarized that perform functions like data acquisition
What is Digital Forensics.docx
Digital forensics is the process of preserving, identifying, and analyzing digital evidence found in devices like computers, networks, and mobile phones for use in legal cases. It involves identifying and collecting potential evidence, preserving the integrity of the evidence, analyzing the evidence found, documenting the findings, and then presenting results in court. The history of digital forensics dates back to the late 20th century. Today it helps investigate various cases like intellectual property theft, fraud, and cybercrime. Challenges include the growing amounts of digital data and changes in technology requiring updated tools and methods.
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computer forensics
Computer forensics involves the preservation, identification, extraction, documentation, and interpretation of computer media for root cause analysis. It is a branch of digital forensic science that applies techniques of computer investigation and analysis. The goal is the discovery, collection, and analysis of digital evidence found on computers and networks to identify the source of security attacks or crimes.
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This document provides an overview of digital forensics. It defines digital forensics as the process of preserving, identifying, extracting, and documenting computer evidence for use in a court of law. The document outlines the typical digital forensic process of identification, preservation, analysis, documentation, and presentation. It also discusses the history of digital forensics and provides examples of different types including disk, network, wireless, database, malware, email, memory, and mobile phone forensics. Challenges and advantages of digital forensics are also summarized.
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In addition to showing what an excellent defense tool TinyCheck is, in my talk I’ll show how I have modified it for forensic acquisition of messaging application in support for LE, obtaining a tool that users can fully inspect to verify what’s happening in every step of the acquisition.Conceptual Study of Mobile Forensics
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Computer forensics is expected to face significant changes over the next 5-50 years:
- Within 5 years, storage capacity and processing speeds will increase dramatically, resulting in exponentially more data to analyze per case. Automated tools will help speed up initial processing but full analyses may still take similar time.
- By 10 years, computers may be much smarter and interfaces more advanced, changing the examiner's role. Experts will need deeper knowledge of human-computer interactions. Malware threats will likely escalate as well.
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What is Digital Forensics.docx
Digital forensics is the process of preserving, identifying, and analyzing digital evidence found in devices like computers, networks, and mobile phones for use in legal cases. It involves identifying and collecting potential evidence, preserving the integrity of the evidence, analyzing the evidence found, documenting the findings, and then presenting results in court. The history of digital forensics dates back to the late 20th century. Today it helps investigate various cases like intellectual property theft, fraud, and cybercrime. Challenges include the growing amounts of digital data and changes in technology requiring updated tools and methods.
3170725_Unit-1.pptx
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The document provides an overview of cyber forensics. It discusses how cyber forensics has become important for investigations due to increasing internet crimes. It outlines the typical phases of cyber forensics investigations - identification, acquisition, analysis, and reporting. The identification phase deals with identifying evidence and preserving the chain of custody. The acquisition phase involves creating copies of digital evidence like hard disk images. The analysis phase examines the acquired evidence to find relevant pieces. Finally, the reporting phase documents the findings and conclusions. A variety of cyber forensics tools are also mentioned.
Cyber_Forensics_in_the_New_Age_of_Cyber_Security.pdf
Soham Das presented on cyber forensics in the new age of cyber security. Cyber forensics plays a crucial role in investigating cybercrimes by systematically collecting, analyzing, and preserving digital evidence. It has become more essential with increasing complex cyber threats. Cyber forensics consists of digital evidence like logs and network traffic, forensic tools like EnCase and Autopsy to analyze evidence, and forensic procedures to properly handle evidence. Challenges include encryption that obscures data and emerging technologies like quantum computing that could break encryption.
computer forensics
Computer forensics involves the preservation, identification, extraction, documentation, and interpretation of computer media for root cause analysis. It is a branch of digital forensic science that applies techniques of computer investigation and analysis. The goal is the discovery, collection, and analysis of digital evidence found on computers and networks to identify the source of security attacks or crimes.
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3170725_Unit-1.pptx
This document provides an overview of digital forensics. It defines digital forensics as the process of preserving, identifying, extracting, and documenting computer evidence for use in a court of law. The document outlines the typical digital forensic process of identification, preservation, analysis, documentation, and presentation. It also discusses the history of digital forensics and provides examples of different types including disk, network, wireless, database, malware, email, memory, and mobile phone forensics. Challenges and advantages of digital forensics are also summarized.
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Topics Covered: Introduction to Cyber Forensics, Computer Equipment and associated storage, media Role of forensics Investigator, Forensics Investigation Process, Collecting Network based Evidence Writing, Computer Forensics Reports, Auditing, Plan an audit against a set of audit criteria, Information Security Management, System Management. Introduction to ISO 27001:2013
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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
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In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Digital Forencis.pdf
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