Incident Response Methodology is one of the popular process to investigate the incident which is unlawful, unauthorized or unacceptable action on computer system or computer network.
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 introduction to searching and seizing computers for computer forensics. It discusses issues with digital evidence being volatile and massive in size. It explains that searching and seizing computers can be done with or without a warrant, depending on the country's constitution and exceptions like consent. Key aspects of searches include who conducted it, what was searched/seized, if it was a legal search/seizure, and if the search was reasonable with a warrant or under an exception. Probable cause and exceptions to warrants like emergencies, vehicles and borders are also outlined. Proper warrant preparation and seizing equipment on site are important parts of legally searching and seizing computer-related evidence.
The document discusses data recovery, including what it is, common uses, and techniques. Data recovery involves retrieving deleted or inaccessible data from electronic storage media. It is commonly used by average users to recover important files, and by law enforcement to locate illegal data or restore deleted information for criminal investigations. Techniques discussed include software and hardware recovery methods, secure deletion standards, and overwriting schemes to prevent recovery.
Digital forensics involves identifying evidence from digital sources using scientific tools and techniques to solve crimes. There are two criteria for evidence admission in court: relevance to the case and use of scientific methods. Errors in evidence gathering can result in meaningless evidence or penalties. The process involves preservation, identification, extraction, documentation, and interpretation of data. Tools like WetStone's Gargoyle and Niels Provos's stegdetect can detect hidden data. The reliability of found data must undergo a Daubert hearing to ensure the tools and methods are viable in court. Professional, ethical, and legal issues must be considered regarding an investigator's role, privacy concerns, and challenges from evolving technologies.
This document discusses best practices for collecting, preserving, and analyzing digital evidence. It covers topics such as data recovery, backup solutions, hidden data recovery techniques, evidence collection methods, and standards for ensuring digital evidence is authenticated and verified. The goal is to extract useful information from seized devices and recovered data in a way that can be used in a court of law to identify attackers and reconstruct security incidents.
This document discusses mobile device forensics. It explains that mobile devices store a variety of personal information, including calls, texts, emails, photos and more. It also outlines the challenges of investigating mobile devices and describes the components of mobile devices like the IMEI, SIM card, and memory. The document provides details on acquiring data from mobile devices, including identifying the device, isolating it to prevent remote wiping, and extracting data from internal memory, SIM cards and external storage.
Digital evidence acquisitions can be stored in raw, proprietary, or Advanced Forensics Format (AFF). The document discusses various acquisition methods and tools for disk-to-image, disk-to-disk, logical, and sparse acquisitions. It emphasizes the importance of validation, contingency planning, and minimizing alteration of evidence during the acquisition process. Special considerations are given for acquiring data from RAID systems and using Linux tools or remote network tools.
Incident Response Methodology is one of the popular process to investigate the incident which is unlawful, unauthorized or unacceptable action on computer system or computer network.
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 introduction to searching and seizing computers for computer forensics. It discusses issues with digital evidence being volatile and massive in size. It explains that searching and seizing computers can be done with or without a warrant, depending on the country's constitution and exceptions like consent. Key aspects of searches include who conducted it, what was searched/seized, if it was a legal search/seizure, and if the search was reasonable with a warrant or under an exception. Probable cause and exceptions to warrants like emergencies, vehicles and borders are also outlined. Proper warrant preparation and seizing equipment on site are important parts of legally searching and seizing computer-related evidence.
The document discusses data recovery, including what it is, common uses, and techniques. Data recovery involves retrieving deleted or inaccessible data from electronic storage media. It is commonly used by average users to recover important files, and by law enforcement to locate illegal data or restore deleted information for criminal investigations. Techniques discussed include software and hardware recovery methods, secure deletion standards, and overwriting schemes to prevent recovery.
Digital forensics involves identifying evidence from digital sources using scientific tools and techniques to solve crimes. There are two criteria for evidence admission in court: relevance to the case and use of scientific methods. Errors in evidence gathering can result in meaningless evidence or penalties. The process involves preservation, identification, extraction, documentation, and interpretation of data. Tools like WetStone's Gargoyle and Niels Provos's stegdetect can detect hidden data. The reliability of found data must undergo a Daubert hearing to ensure the tools and methods are viable in court. Professional, ethical, and legal issues must be considered regarding an investigator's role, privacy concerns, and challenges from evolving technologies.
This document discusses best practices for collecting, preserving, and analyzing digital evidence. It covers topics such as data recovery, backup solutions, hidden data recovery techniques, evidence collection methods, and standards for ensuring digital evidence is authenticated and verified. The goal is to extract useful information from seized devices and recovered data in a way that can be used in a court of law to identify attackers and reconstruct security incidents.
This document discusses mobile device forensics. It explains that mobile devices store a variety of personal information, including calls, texts, emails, photos and more. It also outlines the challenges of investigating mobile devices and describes the components of mobile devices like the IMEI, SIM card, and memory. The document provides details on acquiring data from mobile devices, including identifying the device, isolating it to prevent remote wiping, and extracting data from internal memory, SIM cards and external storage.
Digital evidence acquisitions can be stored in raw, proprietary, or Advanced Forensics Format (AFF). The document discusses various acquisition methods and tools for disk-to-image, disk-to-disk, logical, and sparse acquisitions. It emphasizes the importance of validation, contingency planning, and minimizing alteration of evidence during the acquisition process. Special considerations are given for acquiring data from RAID systems and using Linux tools or remote network tools.
What is digital evidence? , sources of digital evidence, types of digital evidence, the procedure for collecting digital evidence, records, digital vs physical evidence, controlling contamination.
Computer forensics is a very important branch of computer science in relation to computer and Internet related crimes. Earlier, computers were only used to produce data but now it has expanded to all devices related to digital data. The goal of Computer forensics is to perform crime investigations by using evidence from digital data to find who was the responsible for that particular crime.
For better research and investigation, developers have created many computer forensics tools. Police departments and investigation agencies select the tools based on various factors including budget and available experts on the team.
Intrusion detection systems collect information from systems and networks to analyze for signs of intrusion. Digital evidence encompasses any digital data that can establish a crime or link a crime to a victim or perpetrator. It is important to properly collect, preserve, and identify digital evidence using forensically-sound procedures to avoid altering or destroying the original evidence. This involves creating bit-stream copies of storage devices, documenting the collection and examination process, and verifying the integrity of evidence.
Cloud Forensics...this presentation shows you the current state of progress and challenges that stand today in the world of CLOUD FORENSICS.Based on lots of Google search and whites by Josiah Dykstra and Alan Sherman.The presentation builds right from basics and compares the conflicting requirements between traditional and Clod Forensics.
This document provides an overview of mobile device forensics. It discusses how people store personal information on mobile devices and the challenges of investigating these devices. The document covers mobile device characteristics, memory types, identity modules, cellular networks, and investigative tools and methods. These include manual extraction, logical extraction, chip-off acquisition, and preservation techniques like isolation and acquisition of internal memory, SIM cards, and external storage. The objectives are to understand mobile device forensics and the characteristics and challenges involved in acquiring, analyzing, and investigating evidence from mobile devices.
The document discusses expert testimony on gangs in criminal trials. It provides information on qualifying as a gang expert witness, including necessary training, experience and qualifications. It also covers acceptable and unacceptable expert opinions on gang evidence, the use of hearsay in forming opinions, and challenges to expert testimony such as bias.
This document provides an overview of computer forensics. It defines computer forensics as the process of identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The document discusses the history, goals, and methodology of computer forensics, as well as who uses these services and the skills required. Computer forensics is used to find evidence for a variety of computer crimes and cybercrimes to assist in arrests and prosecutions.
Computer forensics involves the collection, analysis and presentation of digital evidence for use in legal cases. It combines elements of law, computer science and forensic science. The goal is to identify, collect and analyze digital data in a way that preserves its integrity so it can be used as admissible evidence. This involves understanding storage technologies, file systems, data recovery techniques and tools for acquisition, discovery and analysis of both volatile and persistent data. Computer forensics practitioners must be aware of ethical standards to maintain impartiality and integrity in their investigations.
The document introduces Autopsy, an open source digital forensics platform. It provides an overview of Autopsy's features which allow users to efficiently analyze hard drives and smartphones through a graphical interface. Key capabilities include timeline analysis, keyword searching, web and file system artifact extraction, and support for common file systems. The document includes screenshots and references for additional information on Autopsy's functions and use in digital investigations.
Digital forensics involves recovering and investigating material from digital devices, often related to computer crimes. The process includes seizing devices, imaging their contents, analyzing the data, and producing a report of evidence. Digital forensics has evolved over 30 years to address evolving crimes and now analyzes data from computers, networks, and mobile devices using specialized tools and methodologies. Skills required for digital forensics experts include technical, analytical, and legal expertise.
Digital forensics is the preservation, identification, extraction and documentation of computer evidence for use in courts. There are various branches including network, firewall, database and mobile device forensics. Digital forensics helps solve cases of theft, fraud, hacking and viruses. Challenges include increased data storage, rapid technology changes and lack of physical evidence. Three case studies showed how digital forensics uncovered evidence through encrypted communications, text messages and diverted drug operations. The future of digital forensics includes more sophisticated tools and techniques to analyze large amounts of data.
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.
This document discusses forensic imaging. It describes how forensic imaging creates an exact copy of a hard drive or other media that can be used as digital evidence. It outlines different types of forensic imaging like physical, logical, and targeted collection. It also lists several tools that are commonly used for forensic imaging like FTK Imager, DriveImage XML, and EnCase forensic imager. Finally, it provides guidance on initial response when encountering shut down machines or live machines at a crime scene.
This document provides an overview of mobile forensics. It discusses key topics like the mobile forensics process, goals of mobile forensics, challenges with acquiring evidence from mobile devices, and analyzing different types of evidence. Specific techniques discussed include hashing, write protection, recovering deleted data through tools like Disk Drill, analyzing Windows and Linux event logs, and investigating malicious files. The document outlines the various components involved in a mobile forensics investigation from acquiring evidence to documenting the chain of custody.
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
An officer responding first to a cyber crime scene is called a first responder. They are responsible for identifying, protecting, and preserving digital evidence found at the crime scene. This includes securing the area, documenting findings, collecting evidence forensically, and maintaining the chain of custody when transporting digital evidence to a forensics laboratory for examination. Digital evidence has properties making it suitable for forensic investigation, such as being duplicable without risk of damage to the original, and difficult to permanently destroy.
The document discusses digital forensics, including what it is, types of computer crimes, tools used like FTK and Encase, procedures that must be followed, and examples of cases like Enron and United States vs Ivanov. Digital forensics involves recovering and investigating digital evidence from devices and can be used to find deleted data, track locations, and discover information through tools like forensic software. Proper seizure and collection of evidence must adhere to legal standards like using a write blocker.
Data recovery with a view of digital forensics Ahmed Hashad
This document discusses data recovery from damaged digital storage devices like hard drives. It covers the different types of data loss that can occur through mechanical failures, human error, etc. The process of data recovery involves repairing the device if possible, imaging the drive to copy data, and performing logical recovery of files and file systems. Forensic data recovery aims to recover and present data in a legal context. The document outlines the components and workings of a typical hard drive, as well as file systems, failure modes, and data recovery techniques.
The presentation provides an overview of digital/computer forensics. It defines key concepts like digital evidence and the forensic process. The objectives are to introduce forensic concepts, understand investigation goals and tools, and how forensics is used for cybercrime. The presentation outlines include topics like rationale for forensics, the investigator's role, comparing cybercrime and evidence, challenges, and open-source tools available in Kali Linux.
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.
What is digital evidence? , sources of digital evidence, types of digital evidence, the procedure for collecting digital evidence, records, digital vs physical evidence, controlling contamination.
Computer forensics is a very important branch of computer science in relation to computer and Internet related crimes. Earlier, computers were only used to produce data but now it has expanded to all devices related to digital data. The goal of Computer forensics is to perform crime investigations by using evidence from digital data to find who was the responsible for that particular crime.
For better research and investigation, developers have created many computer forensics tools. Police departments and investigation agencies select the tools based on various factors including budget and available experts on the team.
Intrusion detection systems collect information from systems and networks to analyze for signs of intrusion. Digital evidence encompasses any digital data that can establish a crime or link a crime to a victim or perpetrator. It is important to properly collect, preserve, and identify digital evidence using forensically-sound procedures to avoid altering or destroying the original evidence. This involves creating bit-stream copies of storage devices, documenting the collection and examination process, and verifying the integrity of evidence.
Cloud Forensics...this presentation shows you the current state of progress and challenges that stand today in the world of CLOUD FORENSICS.Based on lots of Google search and whites by Josiah Dykstra and Alan Sherman.The presentation builds right from basics and compares the conflicting requirements between traditional and Clod Forensics.
This document provides an overview of mobile device forensics. It discusses how people store personal information on mobile devices and the challenges of investigating these devices. The document covers mobile device characteristics, memory types, identity modules, cellular networks, and investigative tools and methods. These include manual extraction, logical extraction, chip-off acquisition, and preservation techniques like isolation and acquisition of internal memory, SIM cards, and external storage. The objectives are to understand mobile device forensics and the characteristics and challenges involved in acquiring, analyzing, and investigating evidence from mobile devices.
The document discusses expert testimony on gangs in criminal trials. It provides information on qualifying as a gang expert witness, including necessary training, experience and qualifications. It also covers acceptable and unacceptable expert opinions on gang evidence, the use of hearsay in forming opinions, and challenges to expert testimony such as bias.
This document provides an overview of computer forensics. It defines computer forensics as the process of identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The document discusses the history, goals, and methodology of computer forensics, as well as who uses these services and the skills required. Computer forensics is used to find evidence for a variety of computer crimes and cybercrimes to assist in arrests and prosecutions.
Computer forensics involves the collection, analysis and presentation of digital evidence for use in legal cases. It combines elements of law, computer science and forensic science. The goal is to identify, collect and analyze digital data in a way that preserves its integrity so it can be used as admissible evidence. This involves understanding storage technologies, file systems, data recovery techniques and tools for acquisition, discovery and analysis of both volatile and persistent data. Computer forensics practitioners must be aware of ethical standards to maintain impartiality and integrity in their investigations.
The document introduces Autopsy, an open source digital forensics platform. It provides an overview of Autopsy's features which allow users to efficiently analyze hard drives and smartphones through a graphical interface. Key capabilities include timeline analysis, keyword searching, web and file system artifact extraction, and support for common file systems. The document includes screenshots and references for additional information on Autopsy's functions and use in digital investigations.
Digital forensics involves recovering and investigating material from digital devices, often related to computer crimes. The process includes seizing devices, imaging their contents, analyzing the data, and producing a report of evidence. Digital forensics has evolved over 30 years to address evolving crimes and now analyzes data from computers, networks, and mobile devices using specialized tools and methodologies. Skills required for digital forensics experts include technical, analytical, and legal expertise.
Digital forensics is the preservation, identification, extraction and documentation of computer evidence for use in courts. There are various branches including network, firewall, database and mobile device forensics. Digital forensics helps solve cases of theft, fraud, hacking and viruses. Challenges include increased data storage, rapid technology changes and lack of physical evidence. Three case studies showed how digital forensics uncovered evidence through encrypted communications, text messages and diverted drug operations. The future of digital forensics includes more sophisticated tools and techniques to analyze large amounts of data.
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.
This document discusses forensic imaging. It describes how forensic imaging creates an exact copy of a hard drive or other media that can be used as digital evidence. It outlines different types of forensic imaging like physical, logical, and targeted collection. It also lists several tools that are commonly used for forensic imaging like FTK Imager, DriveImage XML, and EnCase forensic imager. Finally, it provides guidance on initial response when encountering shut down machines or live machines at a crime scene.
This document provides an overview of mobile forensics. It discusses key topics like the mobile forensics process, goals of mobile forensics, challenges with acquiring evidence from mobile devices, and analyzing different types of evidence. Specific techniques discussed include hashing, write protection, recovering deleted data through tools like Disk Drill, analyzing Windows and Linux event logs, and investigating malicious files. The document outlines the various components involved in a mobile forensics investigation from acquiring evidence to documenting the chain of custody.
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
An officer responding first to a cyber crime scene is called a first responder. They are responsible for identifying, protecting, and preserving digital evidence found at the crime scene. This includes securing the area, documenting findings, collecting evidence forensically, and maintaining the chain of custody when transporting digital evidence to a forensics laboratory for examination. Digital evidence has properties making it suitable for forensic investigation, such as being duplicable without risk of damage to the original, and difficult to permanently destroy.
The document discusses digital forensics, including what it is, types of computer crimes, tools used like FTK and Encase, procedures that must be followed, and examples of cases like Enron and United States vs Ivanov. Digital forensics involves recovering and investigating digital evidence from devices and can be used to find deleted data, track locations, and discover information through tools like forensic software. Proper seizure and collection of evidence must adhere to legal standards like using a write blocker.
Data recovery with a view of digital forensics Ahmed Hashad
This document discusses data recovery from damaged digital storage devices like hard drives. It covers the different types of data loss that can occur through mechanical failures, human error, etc. The process of data recovery involves repairing the device if possible, imaging the drive to copy data, and performing logical recovery of files and file systems. Forensic data recovery aims to recover and present data in a legal context. The document outlines the components and workings of a typical hard drive, as well as file systems, failure modes, and data recovery techniques.
The presentation provides an overview of digital/computer forensics. It defines key concepts like digital evidence and the forensic process. The objectives are to introduce forensic concepts, understand investigation goals and tools, and how forensics is used for cybercrime. The presentation outlines include topics like rationale for forensics, the investigator's role, comparing cybercrime and evidence, challenges, and open-source tools available in Kali Linux.
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.
This document discusses the scope of cyber forensics. It defines cyber forensics as the process of extracting digital evidence from cyber crimes while maintaining a documented chain of custody. It describes the types of cyber forensics like network, email, mobile device, and database forensics. It outlines the key steps cyber forensics experts follow: identifying evidence, preserving it, analyzing the data, documenting findings, and presenting in court. Finally, it discusses the importance and advantages of cyber forensics in solving crimes and protecting businesses.
This document discusses the scope of cyber forensics. It defines cyber forensics as the process of extracting digital evidence from cyber crimes while maintaining a documented chain of custody. It describes the types of cyber forensics like network, email, mobile device forensics. It outlines the key steps cyber forensics experts follow: identification, preservation, analysis and documentation of digital evidence found, and presentation in court. Finally, it discusses the importance of cyber forensics in solving cyber and real-world crimes and ensuring integrity of digital evidence.
This document provides an overview of digital forensics. It defines digital forensics and forensic science. Digital forensics involves the preservation, collection, analysis and presentation of digital evidence. There are different branches of digital forensics related to different devices. Examples of digital evidence include emails, photos, transaction logs, documents and computer memory contents. Characteristics of good digital evidence are that it is admissible, authentic, fragile, accurate and convincing. Several digital forensic models are described that involve multiple phases of an investigation. The benefits of digital forensics include protecting against theft, fraud, hacking and viruses. Skills required for digital forensics include technical experience, strong analysis and evidence handling skills.
This document defines digital forensics and outlines the typical digital forensic process. Digital forensics involves the preservation, collection, analysis and presentation of digital evidence for legal proceedings. The digital forensic process consists of identification of potential evidence, preservation of evidence, analysis of evidence, documentation of findings and presentation of conclusions. Digital forensics is used to investigate various cyber crimes and requires specialized skills and tools to deal with challenges such as rapid technology changes and large amounts of digital data.
Forensic science is a scientific method of gathering and examining information about the past which is then used in the court of law. Digital Forensics is the use of scientifically derived and proven methods toward the preservation, collection, validation, identification, analysis, interpretation, documentation, and presentation of digital evidence derived from digital devices for the purpose of facilitation or furthering the reconstruction of events found to be criminal, or helping to anticipate unauthorized actions shown to be disruptive to planned operations.
This document provides an overview of cyber forensics and digital forensics. It defines cyberforensics as a technique used to determine and reveal technical criminal evidence from electronic data, and discusses how cyberforensics is gaining traction as an evidence interpretation method. The document then discusses digital forensics and its definition, process, history, types including disk, network and wireless forensics, challenges, example uses, advantages, and disadvantages. It also covers cyber criminals and their types, mobile forensics, electronic evidence laws in India, and computer forensics.
CYBER FORENSICS AND AUDITING
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
This document discusses cyber forensics and investigating large scale data breaches. It begins by defining cyber forensics as an electronic discovery technique used to determine and reveal technical criminal evidence, often involving extracting electronic data for legal purposes. It then discusses challenges in investigating corporate networks due to different operating systems, file systems, and administrative access used. When investigating large data breaches, security exploits and employee devices are common entry points, while pace of growth and lack of evidence erasure complicate progress. The Yahoo breach example turned tides by providing data to investigators that aided geopolitical understanding. Immediate actions include response and isolation, while tools like COFEE, SIFT, and ProDiscover aid forensic analysis at different levels.
UMS Cybersecurity Awareness Seminar: Cybersecurity - Lessons learned from sec...APNIC
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Uncover important digital evidence with digital forensic toolsParaben Corporation
Digital forensic experts identify, preserve, analyze and present the digital evidence to help solve the crime cases efficiently. Most of them use forensics tools by Paraben Corporation, an alternative to Magnet digital forensics to get the results effectively.
Cyber forensics involves the scientific examination and analysis of digital evidence for use in a court of law. It includes network, device, and storage media forensics as well as code analysis. The basic methodology consists of acquiring evidence without altering it, authenticating any copies, and analyzing the data. Careers in cyber forensics involve roles such as technician, investigator, analyst, and scientist in fields like law enforcement, private sector, military, and academia.
reserach paper on Study Of Digital Forensics Process.docxNavneetSaluja5
This document summarizes the digital forensics process used to investigate a case of financial fraud at a bank in India. It describes the 5 stages of digital forensics: identification, preservation, analysis, documentation, and presentation. In the identification stage, investigators detected irregularities and launched an investigation to identify perpetrators and determine the extent of fraud. In the preservation stage, potential digital evidence was identified, secured to maintain integrity, and forensic copies were created. The analysis stage involved examining preserved evidence to uncover relevant information.
Cyber crimes are increasing day by day, so as the cyber evidences at the crime scene.
To know more about the cyber evidence, go to the link given below-
https://youtu.be/2PBoOPU9e00
The key goal for Assignment 1 is to test your knowledge and understanding of all the material that was covered throughout the Digital Forensics module. The assignment will be split into three sections:
Part 1 – General knowledge:
o This section will be a test on your understanding of theoretical knowledge on fundamental concepts of computer security, cybercrime and digital forensics
Part 2 – Comprehension:
o This section will be a test on your comprehension of different aspects of the digital forensics process as outlined in the weekly reading material
Part 3 – Application of knowledge
o This section will be a test on your ability to effectively apply your knowledge and understanding of digital forensics to real-world scenarios
This document provides information on digital forensics, including definitions, tools, and roles. It defines digital forensics as the scientific analysis of computer systems and digital evidence to help solve crimes. Several digital forensics tools are described that can analyze disks, files, registries, networks, and more. The roles of a digital forensics expert in investigations and the judicial system are also outlined, such as qualifying as an expert witness and effectively communicating technical information.
In this paper, we deal with introducing a technique of digital forensics for reconstruction of
events or evidences after the commitment of a crime through any of the digital devices. It shows
a clear transparency between Computer Forensics and Digital Forensics and gives a brief
description about the classification of Digital Forensics. It has also been described that how
the emergences of various digital forensic models help digital forensic practitioners and
examiners in doing digital forensics. Further, discussed Merits and Demerits of the required models and review of every major model.
2019-09-11 Workshop incident response n handling honeynet Universitas IndonesiaIGN MANTRA
The document discusses a workshop on incident response and handling and digital forensics presented by ACAD-CSIRT. It provides an overview of the incident response process, including preparation, identification, containment, eradication, recovery, and lessons learned. It also discusses the attacker's process and common techniques. The workshop covers the incident response lifecycle in detail and strategies for containment, including quarantining systems, documentation, backups, and digital forensics best practices.
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তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
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Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
2. Outline
• Introduction
What is Digital Forensics?
Branches of Digital Forensics.
Objectives of Digital Forensics.
Difference between Cyber Forensics and Cyber Security.
• Digital Evidence
Rules for Digital Evidence.
Handling Digital Evidence.
• Process of Digital Forensic Investigation.
• Things You Should Remember
2
3. Introduction
• What is digital forensics?
Digital Forensics or Cyber Forensics is the process of detecting, and analyzing
the attacks that jeopardizes the Confidentiality, Integrity, and Availability of an
IT System.
3
4. Continued…
• Branches of Digital Forensics
There are four main branches of digital forensics –
o Computer Forensics.
o Network Forensics.
o Mobile Device Forensics.
o Database Forensics.
o Cloud Forensics
o Email and Social Media Forensics
o Malware Forensics etc.
4
5. Continued…
• Objectives of Digital Forensics
The main objective of Digital Forensics is to find out the answer of these three
mysterious questions - What? Why? And How?
To gather Digital Evidences to ensure, that the answers you have found for
above questions are correct and you can present them in the court.
5
6. Digital Evidences
Digital evidence is any information or data of value to an investigation that is
stored on, received by, or transmitted by an electronic device. Text messages,
emails, pictures, videos, and internet searches are some of the most common
types of digital evidence.
6
7. Continued…
• Rules for Digital Evidence
Admissible- Must be able to be used in court or elsewhere.
Authentic- Evidence must be relevant to the case.
Complete- Must not lack any information.
Reliable- No question about authenticity.
Believable- Clear, easy to understand, and believable by a jury.
7
8. Continued…
• Handling Digital Evidence
o No possible evidence should be damaged, destroyed, or otherwise compromised by
the procedures used to search the computer.
o Preventing viruses from being introduced to a computer during the analysis
process.
o Extracted / relevant evidence is properly handled and protected from later
mechanical or electromagnetic damage.
o Establishing and maintaining a continuing chain of custody.
o Limiting the amount of time business operations are affected.
8
9. Process of Digital Forensic Investigation
The investigative process encompasses-
9
Fig. 1 Digital Forensic Investigation Process
10. Continued…
10
• Identification
In the Identification phase these processes took place-
1. Event/Crime Detection.
2. Complaints.
3. Approach Formulation.
4. Case Analysis.
11. Continued…
11
• Preservation
In the Preservation phase these processes took place-
1. Crime Scene Preservation.
2. Chain of Custody.
3. Client permission Form.
4. Case Management.
5. Time Sync.
13. Continued…
13
• Collection
In the Collection phase these processes took place-
1. Preservation.
2. Acquire.
3. Recognize and Collect Evidence.
4. Data Preservation.
15. Continued…
• Examination
In the Examination phase these processes took place-
1. Preservation.
2. Filtering.
3. Pattern Matching.
4. Data Recovery (Hidden Data).
5. Data Extraction.
15
16. Continued…
• Analysis
In the Analysis phase these processes took place-
1. Preservation.
2. Determine Significance.
3. Validation.
4. Find the Link.
5. Draw Conclusion.
16
18. Continued…
• Presentation/Reporting
In the Reporting phase these processes took place-
1. Documentation.
2. Expert Testimony.
3. Recommended Countermeasures.
4. Statistical Interpretation.
18
19. Things You Should Remember!
1. Avoid changing date/time stamps (of files for example)or changing data
itself.
2. Overwriting of unallocated space (which can happen on re-boot for
example).
3. Always calculate/generate hash value of each information/data, collected
during the investigation.
19
Editor's Notes
Confidentiality: The principle of Confidentiality specifies that only the sender and the intended receiver(s) should be able to access the contents of a message.
Integrity: The principle of Integrity specifies the Correctness of Data.
Availability: The principle of Availability states that resources should be available to authorizes parties at all times.
Show all the Forms and Demonstrate Cryptool for calculating Hash and Write Blocker (Mannual)
Demonstration of Website Acquisition, Memory Acquisition and HDD Acquisition