The document discusses several digital forensics frameworks that outline procedures for conducting digital investigations. It describes the FORZA framework in detail, which includes different layers representing contextual information, legal considerations, technical preparations, data acquisition, analysis, and legal presentation. Other frameworks covered include an enhanced digital investigation process model, an event-based digital forensic investigation framework, and a computer forensics field triage process model. Key phases of each framework, such as readiness, deployment, physical crime scene investigation, and digital crime scene investigation are also outlined.
This document discusses best practices for writing investigative reports based on computer forensics investigations. It provides guidelines on the format, structure, and content of reports, including maintaining objectivity, documenting evidence collection methods, and including relevant findings, conclusions, and recommendations. The document also provides a sample report template and discusses using forensic analysis tools like FTK to help generate reports.
This document discusses ethics in computer forensics. It covers ethics in areas like preparing forensic equipment, obtaining and documenting evidence, and bringing evidence to court. Ethics are important in computer forensics to distinguish acceptable and unacceptable behavior. Computer ethics help professionals avoid abuse and corruption. Equipment must be properly maintained and monitored. Evidence must be obtained and documented efficiently and carefully by skilled investigators to be acceptable in court.
The document discusses a new digital forensic data capture device called the Forensic Dossier launched by Logicube. The Dossier allows investigators to capture data from suspect drives at speeds of up to 6GB per minute. It supports capturing from RAID drives and various flash media. The Dossier features built-in support for many drive types and connections. It includes advanced authentication and other forensic features. The Dossier will be showcased at the 2009 International CES conference in Las Vegas.
- Organizations need to implement effective data leakage prevention strategies like data security policies, auditing processes, access control, and encryption to protect their data from internal threats.
- Security policies help define acceptable usage of systems and data, as well as procedures for access control, backups, system administration and more. Logging policies should define which security-relevant events are logged for purposes like intrusion detection and reconstructing incidents.
- Evidence collection and documentation policies are important for responding to security incidents and preserving electronic evidence for analysis or legal proceedings. Information security policies aim to ensure the confidentiality, integrity and availability of organizational data.
The document provides information on various computer forensics consulting companies and organizations. It lists their names and services offered, which include data recovery, electronic discovery, cyber forensic investigations, expert witness testimony, and litigation support for cases involving intellectual property theft, employee fraud, and other legal matters. The document also contains screenshots of some of the companies' websites.
A computer forensics specialist was able to disprove a claim involving improper data use through a detailed investigation and report of the computer's internal activities. The specialist examined the computer over a period of time and prepared a step-by-step report that showed what had occurred inside the computer with a particular data set. This helped the attorney address the claim and demonstrated how computer forensics can not only help prove but also disprove allegations of improper data use.
I apologize, upon reviewing the document again I do not see any clear context to summarize it in 3 sentences or less. The document appears to be describing various concepts related to information system evaluation and certification but does not provide enough cohesive information to summarize concisely.
Lawyers often lack knowledge about electronic data discovery compared to traditional paper discovery. To properly handle digital evidence, lawyers should understand basic computer functions and data storage. They should also identify qualified forensic experts, ensure the forensic process follows proper procedures, and understand what types of computer forensic analysis may be necessary for different legal cases.
This document discusses best practices for writing investigative reports based on computer forensics investigations. It provides guidelines on the format, structure, and content of reports, including maintaining objectivity, documenting evidence collection methods, and including relevant findings, conclusions, and recommendations. The document also provides a sample report template and discusses using forensic analysis tools like FTK to help generate reports.
This document discusses ethics in computer forensics. It covers ethics in areas like preparing forensic equipment, obtaining and documenting evidence, and bringing evidence to court. Ethics are important in computer forensics to distinguish acceptable and unacceptable behavior. Computer ethics help professionals avoid abuse and corruption. Equipment must be properly maintained and monitored. Evidence must be obtained and documented efficiently and carefully by skilled investigators to be acceptable in court.
The document discusses a new digital forensic data capture device called the Forensic Dossier launched by Logicube. The Dossier allows investigators to capture data from suspect drives at speeds of up to 6GB per minute. It supports capturing from RAID drives and various flash media. The Dossier features built-in support for many drive types and connections. It includes advanced authentication and other forensic features. The Dossier will be showcased at the 2009 International CES conference in Las Vegas.
- Organizations need to implement effective data leakage prevention strategies like data security policies, auditing processes, access control, and encryption to protect their data from internal threats.
- Security policies help define acceptable usage of systems and data, as well as procedures for access control, backups, system administration and more. Logging policies should define which security-relevant events are logged for purposes like intrusion detection and reconstructing incidents.
- Evidence collection and documentation policies are important for responding to security incidents and preserving electronic evidence for analysis or legal proceedings. Information security policies aim to ensure the confidentiality, integrity and availability of organizational data.
The document provides information on various computer forensics consulting companies and organizations. It lists their names and services offered, which include data recovery, electronic discovery, cyber forensic investigations, expert witness testimony, and litigation support for cases involving intellectual property theft, employee fraud, and other legal matters. The document also contains screenshots of some of the companies' websites.
A computer forensics specialist was able to disprove a claim involving improper data use through a detailed investigation and report of the computer's internal activities. The specialist examined the computer over a period of time and prepared a step-by-step report that showed what had occurred inside the computer with a particular data set. This helped the attorney address the claim and demonstrated how computer forensics can not only help prove but also disprove allegations of improper data use.
I apologize, upon reviewing the document again I do not see any clear context to summarize it in 3 sentences or less. The document appears to be describing various concepts related to information system evaluation and certification but does not provide enough cohesive information to summarize concisely.
Lawyers often lack knowledge about electronic data discovery compared to traditional paper discovery. To properly handle digital evidence, lawyers should understand basic computer functions and data storage. They should also identify qualified forensic experts, ensure the forensic process follows proper procedures, and understand what types of computer forensic analysis may be necessary for different legal cases.
An expert witness testified in a court case involving a teacher accused of sexual relations with a student. The expert, a computer forensics officer, explained that activity seen on the teacher's computer was likely caused by automatic programs and weather programs, not tampering as the defense suggested. If the computer had been turned back on after seizure, there would have been evidence of that, but there was none. The document then discusses the role of expert witnesses and preparing for testimony in court cases.
The document discusses the risk assessment process, including characterizing the IT system, identifying threats and vulnerabilities, analyzing controls, determining likelihood and impact, assessing risk level, and recommending controls to mitigate risks; it also covers developing policies and procedures for conducting risk assessments, writing risk assessment reports, and coordinating resources to perform risk assessments.
The document discusses the role and responsibilities of a first responder in electronic evidence collection, including securing the crime scene, documenting findings, and properly collecting, packaging, transporting, and reporting electronic evidence from various device types like computers, hard drives, thumb drives, and mobile phones. It also covers creating a first responder toolkit with forensic software and hardware, as well as documenting the tools and forensic computer system configuration.
This document provides an overview of Module IV - Digital Evidence from an EC-Council course. It defines digital evidence and discusses the characteristics, types, and fragility of digital evidence. It also covers topics like anti-digital forensics, rules of evidence such as the Best Evidence Rule and Federal Rules of Evidence, and the examination process for digital evidence including acquisition, preservation, analysis, and documentation. The module aims to familiarize students with these important concepts regarding digital evidence.
The document discusses a scenario where a new employee named Rachel accused her manager Jacob of sexual harassment and lodged a complaint with the police and company. The company hired a computer forensics investigator named Ross to investigate the truth of the matter, as Jacob could face legal penalties and job loss if found guilty. The document then provides background information on computer forensics, including its definition, objectives, need, and benefits of forensic readiness planning. It also discusses types of computer crimes and the evolution of the field of computer forensics.
1) A local man was arrested in Canada for allegedly bringing child pornography into the country. He was found with pornographic images, some of which were child pornography, on memory sticks.
2) The man's home in Newton, NH was then searched by local and federal authorities based on a warrant. They seized six computers, five of which were laptops, from his home in addition to a small amount of marijuana and computer parts.
3) The arrest and searches were part of a joint investigation between Canadian and US law enforcement regarding allegations of child pornography.
This document outlines the course materials, schedule, facilities, and expectations for a Computer Hacking Forensic Investigator (CHFI) training course. The course covers 65 modules on topics related to computer forensics over 10 days, with some modules marked for self-study. Students will receive courseware, use computer forensics tools in hands-on lab sessions to reinforce lessons, and are expected to practice additional skills independently. The pace of the course is described as fast-moving, similar to a climax scene from Mission Impossible, with many forensic tools and technologies covered and not all able to be demonstrated during class time.
This document discusses the requirements and considerations for setting up a computer forensics lab, including:
- Planning activities such as determining the types of investigations, required equipment, and number of staff
- Budgeting based on past case volume and equipment/staffing needs
- Facility requirements like physical security, environmental controls, and evidence storage
- Ensuring appropriate hardware, software, and certifications are in place to conduct forensic investigations according to standards
The document provides information on conducting a computer forensics investigation, including preparing for an investigation by building an investigation team and workstation, obtaining authorization and assessing risks, collecting evidence while following guidelines to preserve integrity, and analyzing evidence as part of the overall investigation process.
The document provides information on incident response and handling. It discusses:
1) How an incident response team would investigate a denial of service attack by identifying affected resources, analyzing the incident, assigning an identity and severity level, assigning team members, containing threats, collecting evidence, and performing forensic analysis.
2) General guidelines for incident response including identifying affected systems, analyzing the incident, assigning an identifier and severity, assigning a response team, containing threats, collecting evidence, and conducting forensic analysis.
3) Types of information to include in incident reports such as the intensity of the breach, system logs, and synchronization details.
This module discusses computer forensics laws and legal issues. It covers privacy issues involved in investigations, legal issues in seizing computer equipment, and laws in different countries. It also examines organizations that investigate computer crimes like the FBI, as well as US laws related to intellectual property, copyright, trademarks, trade secrets, and computer fraud and abuse. The goal is to familiarize students with the legal aspects of computer forensics investigations.
Ce hv6 module 57 computer forensics and incident handlingVi Tính Hoàng Nam
The incident response team will take several steps to investigate the denial of service attack on OrientRecruitmentInc's web server. They will first isolate the compromised system to contain the attack. The team will then analyze logs and files on the system to identify the source and technical details of the attack. Finally, the team will work to restore normal operations by fixing vulnerabilities and installing patches, while also preparing a report on their findings and response for management.
Chfi V3 Module 01 Computer Forensics In Todays Worldgueste0d962
This document provides an overview of computer forensics. It discusses the history of forensics, defines computer forensics, and outlines the objectives and benefits of forensic readiness. The document also describes common computer crimes, reasons for cyber attacks, and the stages of a forensic investigation. The overall goal of the document is to familiarize the reader with computer forensics concepts and their application in today's world.
This document provides information on various computer forensic tools, including both software and hardware tools. It discusses specific tools such as Visual TimeAnalyzer, X-Ways Forensics, Evidor, Ontrack EasyRecovery, Forensic Sorter, Directory Snoop, PDWIPE, Darik's Boot and Nuke (DBAN), FileMon, File Date Time Extractor, Snapback Datarrest, Partimage, Ltools, Mtools, @stake, Decryption Collection, AIM Password Decoder, and MS Access Database Password Decoder. It also includes screenshots of some of the tools.
This document provides summaries of various Windows-based GUI tools across different categories such as process viewers, registry tools, desktop utilities, office applications, remote control tools, network tools, network scanners, network sniffers, hard disk tools, hardware info tools, file management tools, file recovery tools, file transfer tools, file analysis tools, password tools, and password cracking tools. For each tool, a brief description and link to the tool's website is given. The document is intended to familiarize the reader with these various Windows-based security tools.
Mr. Islahuddin Jalal presented an introduction to computer forensics focused on mobile phone forensics. The presentation outlined objectives of mobile phone forensics, potential evidence sources like phone memory, SIM card, and external storage. Guidelines for seizure, examination, data extraction, and documentation of mobile phone evidence were discussed. Tools for logical and physical extraction from phone memory, SIM card, and external storage were also presented.
This document discusses network forensics and investigating logs. It covers topics such as where to find evidence like logs from firewalls, routers, servers and applications. It also discusses analyzing logs, handling logs as evidence, and different types of log injection attacks like new line injection, separator injection and defending against them. The document provides guidance on ensuring log file authenticity and integrity when investigating security incidents.
This document provides an overview of evidence collection and forensics tools. It discusses processing crime scenes, securing computer systems, and preserving digital evidence. The key points covered are:
1) When responding to an incident, investigators must properly process the scene, bag and tag all evidence, and document their activities to preserve the integrity of the evidence.
2) Securing a computer scene involves defining a perimeter, photographing the area, taking custody of systems and media, and using logs to track the chain of custody.
3) Preserving digital evidence means capturing volatile data from live systems, creating forensic images of storage devices to avoid modifying the original data, and storing the information securely.
Ce Hv6 Module 44 Internet Content Filtering TechniquesKislaychd
This document discusses various internet content filtering techniques and tools. It describes key features of internet filters like user profiles, reporting, and time limits. It also covers pros and cons of filters. Finally, it provides details on specific filtering tools like iProtectYou, Block Porn, FilterGate, Adblock, and others; describing their features and screenshots. The goal is to familiarize the reader with internet filtering options and technologies.
Computer hacking forensic investigation refers to the process of detecting hacking attacks and properly extracting evidence to report the crime and conduct audits to prevent future attacks. EC-Council's CHFI v9 program incorporates input from experts and practitioners and has been developed following thorough research into current market requirements, job tasks in security and industry needs.
CHFI v9
- Covers the latest forensics examination techniques, including Linux and MAC Forensics.
- Includes new modules on digital forensics laws and standards
- Added more than 40% new labs on anti-forensics techniques, database, cloud, and malware forensics
iStart - Cybercrime scene investigationHayden McCall
This document discusses how cybercriminals pose an increasing threat to organizations and how security intelligence software is helping to address this threat. It notes that every organization has likely been hacked but most do not discover it for months. New approaches like big data analytics, increased information sharing between organizations, and a focus on early detection over prevention are highlighted as promising strategies for enhancing security and narrowing the window that cybercriminals have to operate within networks undetected. However, skills shortages remain a challenge as security and big data skills are in high demand.
Systematic Digital Forensic Investigation ModelCSCJournals
Law practitioners are in a uninterrupted battle with criminals in the application of digital/computer technologies, and require the development of a proper methodology to systematically search digital devices for significant evidence. Computer fraud and digital crimes are growing day by day and unfortunately less than two percent of the reported cases result in confidence. This paper explores the development of the digital forensics process model, compares digital forensic methodologies, and finally proposes a systematic model of the digital forensic procedure. This model attempts to address some of the shortcomings of previous methodologies, and provides the following advantages: a consistent, standardized and systematic framework for digital forensic investigation process; a framework which work systematically in team according the captured evidence; a mechanism for applying the framework to according the country digital forensic investigation technologies; a generalized methodology that judicial members can use to relate technology to non-technical observers. This paper present a brief overview of previous forensic models and propose a new model inspired from the DRFWS Digital Investigation Model, and finally compares it with other previous model to show relevant of this model. The proposed model in this paper explores the different processes involved in the investigation of cyber crime and cyber fraud in the form of an eleven-stage model. The Systematic digital forensic investigation model (SDFIM) has been developed with the aim of helping forensic practitioners and organizations for setting up appropriate policies and procedures in a systematic manner.
An expert witness testified in a court case involving a teacher accused of sexual relations with a student. The expert, a computer forensics officer, explained that activity seen on the teacher's computer was likely caused by automatic programs and weather programs, not tampering as the defense suggested. If the computer had been turned back on after seizure, there would have been evidence of that, but there was none. The document then discusses the role of expert witnesses and preparing for testimony in court cases.
The document discusses the risk assessment process, including characterizing the IT system, identifying threats and vulnerabilities, analyzing controls, determining likelihood and impact, assessing risk level, and recommending controls to mitigate risks; it also covers developing policies and procedures for conducting risk assessments, writing risk assessment reports, and coordinating resources to perform risk assessments.
The document discusses the role and responsibilities of a first responder in electronic evidence collection, including securing the crime scene, documenting findings, and properly collecting, packaging, transporting, and reporting electronic evidence from various device types like computers, hard drives, thumb drives, and mobile phones. It also covers creating a first responder toolkit with forensic software and hardware, as well as documenting the tools and forensic computer system configuration.
This document provides an overview of Module IV - Digital Evidence from an EC-Council course. It defines digital evidence and discusses the characteristics, types, and fragility of digital evidence. It also covers topics like anti-digital forensics, rules of evidence such as the Best Evidence Rule and Federal Rules of Evidence, and the examination process for digital evidence including acquisition, preservation, analysis, and documentation. The module aims to familiarize students with these important concepts regarding digital evidence.
The document discusses a scenario where a new employee named Rachel accused her manager Jacob of sexual harassment and lodged a complaint with the police and company. The company hired a computer forensics investigator named Ross to investigate the truth of the matter, as Jacob could face legal penalties and job loss if found guilty. The document then provides background information on computer forensics, including its definition, objectives, need, and benefits of forensic readiness planning. It also discusses types of computer crimes and the evolution of the field of computer forensics.
1) A local man was arrested in Canada for allegedly bringing child pornography into the country. He was found with pornographic images, some of which were child pornography, on memory sticks.
2) The man's home in Newton, NH was then searched by local and federal authorities based on a warrant. They seized six computers, five of which were laptops, from his home in addition to a small amount of marijuana and computer parts.
3) The arrest and searches were part of a joint investigation between Canadian and US law enforcement regarding allegations of child pornography.
This document outlines the course materials, schedule, facilities, and expectations for a Computer Hacking Forensic Investigator (CHFI) training course. The course covers 65 modules on topics related to computer forensics over 10 days, with some modules marked for self-study. Students will receive courseware, use computer forensics tools in hands-on lab sessions to reinforce lessons, and are expected to practice additional skills independently. The pace of the course is described as fast-moving, similar to a climax scene from Mission Impossible, with many forensic tools and technologies covered and not all able to be demonstrated during class time.
This document discusses the requirements and considerations for setting up a computer forensics lab, including:
- Planning activities such as determining the types of investigations, required equipment, and number of staff
- Budgeting based on past case volume and equipment/staffing needs
- Facility requirements like physical security, environmental controls, and evidence storage
- Ensuring appropriate hardware, software, and certifications are in place to conduct forensic investigations according to standards
The document provides information on conducting a computer forensics investigation, including preparing for an investigation by building an investigation team and workstation, obtaining authorization and assessing risks, collecting evidence while following guidelines to preserve integrity, and analyzing evidence as part of the overall investigation process.
The document provides information on incident response and handling. It discusses:
1) How an incident response team would investigate a denial of service attack by identifying affected resources, analyzing the incident, assigning an identity and severity level, assigning team members, containing threats, collecting evidence, and performing forensic analysis.
2) General guidelines for incident response including identifying affected systems, analyzing the incident, assigning an identifier and severity, assigning a response team, containing threats, collecting evidence, and conducting forensic analysis.
3) Types of information to include in incident reports such as the intensity of the breach, system logs, and synchronization details.
This module discusses computer forensics laws and legal issues. It covers privacy issues involved in investigations, legal issues in seizing computer equipment, and laws in different countries. It also examines organizations that investigate computer crimes like the FBI, as well as US laws related to intellectual property, copyright, trademarks, trade secrets, and computer fraud and abuse. The goal is to familiarize students with the legal aspects of computer forensics investigations.
Ce hv6 module 57 computer forensics and incident handlingVi Tính Hoàng Nam
The incident response team will take several steps to investigate the denial of service attack on OrientRecruitmentInc's web server. They will first isolate the compromised system to contain the attack. The team will then analyze logs and files on the system to identify the source and technical details of the attack. Finally, the team will work to restore normal operations by fixing vulnerabilities and installing patches, while also preparing a report on their findings and response for management.
Chfi V3 Module 01 Computer Forensics In Todays Worldgueste0d962
This document provides an overview of computer forensics. It discusses the history of forensics, defines computer forensics, and outlines the objectives and benefits of forensic readiness. The document also describes common computer crimes, reasons for cyber attacks, and the stages of a forensic investigation. The overall goal of the document is to familiarize the reader with computer forensics concepts and their application in today's world.
This document provides information on various computer forensic tools, including both software and hardware tools. It discusses specific tools such as Visual TimeAnalyzer, X-Ways Forensics, Evidor, Ontrack EasyRecovery, Forensic Sorter, Directory Snoop, PDWIPE, Darik's Boot and Nuke (DBAN), FileMon, File Date Time Extractor, Snapback Datarrest, Partimage, Ltools, Mtools, @stake, Decryption Collection, AIM Password Decoder, and MS Access Database Password Decoder. It also includes screenshots of some of the tools.
This document provides summaries of various Windows-based GUI tools across different categories such as process viewers, registry tools, desktop utilities, office applications, remote control tools, network tools, network scanners, network sniffers, hard disk tools, hardware info tools, file management tools, file recovery tools, file transfer tools, file analysis tools, password tools, and password cracking tools. For each tool, a brief description and link to the tool's website is given. The document is intended to familiarize the reader with these various Windows-based security tools.
Mr. Islahuddin Jalal presented an introduction to computer forensics focused on mobile phone forensics. The presentation outlined objectives of mobile phone forensics, potential evidence sources like phone memory, SIM card, and external storage. Guidelines for seizure, examination, data extraction, and documentation of mobile phone evidence were discussed. Tools for logical and physical extraction from phone memory, SIM card, and external storage were also presented.
This document discusses network forensics and investigating logs. It covers topics such as where to find evidence like logs from firewalls, routers, servers and applications. It also discusses analyzing logs, handling logs as evidence, and different types of log injection attacks like new line injection, separator injection and defending against them. The document provides guidance on ensuring log file authenticity and integrity when investigating security incidents.
This document provides an overview of evidence collection and forensics tools. It discusses processing crime scenes, securing computer systems, and preserving digital evidence. The key points covered are:
1) When responding to an incident, investigators must properly process the scene, bag and tag all evidence, and document their activities to preserve the integrity of the evidence.
2) Securing a computer scene involves defining a perimeter, photographing the area, taking custody of systems and media, and using logs to track the chain of custody.
3) Preserving digital evidence means capturing volatile data from live systems, creating forensic images of storage devices to avoid modifying the original data, and storing the information securely.
Ce Hv6 Module 44 Internet Content Filtering TechniquesKislaychd
This document discusses various internet content filtering techniques and tools. It describes key features of internet filters like user profiles, reporting, and time limits. It also covers pros and cons of filters. Finally, it provides details on specific filtering tools like iProtectYou, Block Porn, FilterGate, Adblock, and others; describing their features and screenshots. The goal is to familiarize the reader with internet filtering options and technologies.
Computer hacking forensic investigation refers to the process of detecting hacking attacks and properly extracting evidence to report the crime and conduct audits to prevent future attacks. EC-Council's CHFI v9 program incorporates input from experts and practitioners and has been developed following thorough research into current market requirements, job tasks in security and industry needs.
CHFI v9
- Covers the latest forensics examination techniques, including Linux and MAC Forensics.
- Includes new modules on digital forensics laws and standards
- Added more than 40% new labs on anti-forensics techniques, database, cloud, and malware forensics
iStart - Cybercrime scene investigationHayden McCall
This document discusses how cybercriminals pose an increasing threat to organizations and how security intelligence software is helping to address this threat. It notes that every organization has likely been hacked but most do not discover it for months. New approaches like big data analytics, increased information sharing between organizations, and a focus on early detection over prevention are highlighted as promising strategies for enhancing security and narrowing the window that cybercriminals have to operate within networks undetected. However, skills shortages remain a challenge as security and big data skills are in high demand.
Systematic Digital Forensic Investigation ModelCSCJournals
Law practitioners are in a uninterrupted battle with criminals in the application of digital/computer technologies, and require the development of a proper methodology to systematically search digital devices for significant evidence. Computer fraud and digital crimes are growing day by day and unfortunately less than two percent of the reported cases result in confidence. This paper explores the development of the digital forensics process model, compares digital forensic methodologies, and finally proposes a systematic model of the digital forensic procedure. This model attempts to address some of the shortcomings of previous methodologies, and provides the following advantages: a consistent, standardized and systematic framework for digital forensic investigation process; a framework which work systematically in team according the captured evidence; a mechanism for applying the framework to according the country digital forensic investigation technologies; a generalized methodology that judicial members can use to relate technology to non-technical observers. This paper present a brief overview of previous forensic models and propose a new model inspired from the DRFWS Digital Investigation Model, and finally compares it with other previous model to show relevant of this model. The proposed model in this paper explores the different processes involved in the investigation of cyber crime and cyber fraud in the form of an eleven-stage model. The Systematic digital forensic investigation model (SDFIM) has been developed with the aim of helping forensic practitioners and organizations for setting up appropriate policies and procedures in a systematic manner.
This document discusses the nature of computer-based electronic evidence and the devices and considerations involved in digital investigation. It covers topics such as latent evidence stored on computers, fragility of electronic evidence, devices that may contain evidence like computers, networks, and other digital devices. It also summarizes laws and guidelines related to digital investigation in the UK.
Best Practices For Seizing Electronic Evidence v.3: A Pocket Guide for Firs...David Sweigert
This document provides guidelines for law enforcement officers on properly seizing and preserving electronic evidence. It was created by a working group of law enforcement agencies to address common issues in modern electronic crime scenes. The guidelines cover topics such as securing different types of devices including personal computers, cell phones, and network equipment. It emphasizes the importance of documenting all steps, preventing evidence tampering, and consulting experts when needed.
Best Practices For Seizing Electronic Evidence -- DoJDavid Sweigert
This document provides guidance for first responders on handling digital evidence at crime scenes. It discusses the types of electronic devices that may contain digital evidence, including computers, storage devices, handheld devices, and peripheral equipment. It emphasizes the importance of properly recognizing, documenting, collecting, packaging, transporting, and storing digital evidence to preserve its integrity. Due to the fragile nature of digital data and legal restrictions, first responders are advised only to secure devices and seek assistance from forensic experts in examining their contents. The document aims to help law enforcement identify and process digital evidence while avoiding altering or destroying important information.
Presentation made by Dr Tabrez Ahmad in Biju Pattanaik State Police Academy Bhubaneswar. To train DSP,s on Cyber Crime Investigation and Cyber Forensics.
This document provides an overview of computer forensics. It defines computer forensics as the process of preserving, identifying, extracting, documenting and interpreting computer data for legal evidence. The document outlines the history of the field from the 1970s to present day, describes the typical steps of acquisition, identification, evaluation and presentation, and discusses certifications, requirements, evidence collection, uses, advantages and disadvantages of computer forensics. It concludes that computer forensics is needed to uncover electronic evidence for prosecuting cybercrimes.
This presentation was given at the International Forensic Science Academy in 2009. The information contained within the presentation was gained from training in which I had previously participated. Due to the information previously being openly presented, I do not belive I am operating without the permission of the original authors. If anyone disagrees or wants credit, please contact me and I will either remove the content or add you as a citation.
The document discusses digital forensics and incident response. It covers topics such as:
- The digital forensics process of collection, examination, analysis and reporting of evidence.
- Principles of evidence handling including types of evidence, chain of custody and preserving data integrity.
- Models for analyzing security incidents such as the Cyber Kill Chain which outlines the stages of an attack, and the Diamond Model which classifies events.
- Techniques for attributing attacks such as analyzing tactics, techniques and procedures used.
Digital Forensics Triage and Cyber SecurityAmrit Chhetri
Digital Forensics and Forensics Triage are important concepts in cyber security. Forensics Triage is the process of collecting, analyzing, and prioritizing digital evidence during an investigation. It aims to increase efficiency and reduce costs. There are different types of Forensics Triage including live and postmortem triage. Automating Forensics Triage using tools can further improve the process. Operational technology forensics related to industrial control systems also requires Forensics Triage. Standard tools and newer automated tools can be used for Forensics Triage.
This document provides an introduction to digital forensics. It defines computer crime and cybercrime, which can include using computers to commit traditional crimes or new crimes like hacking. Computers can be the target of crimes, used as repositories of illegal data, or tools to enable crimes. Digital forensics involves discovering, recovering, and investigating digital evidence from computers, networks, and other devices for use in legal cases. It is a branch of forensic science that examines digital devices and data to investigate computer crimes.
The document summarizes a presentation on integrating systems analysis into corporate high technology investigations. It discusses how systems analysis concepts and tools used in IT systems can be applied to investigations. This includes preliminary investigation, analysis of evidence, developing investigation plans and reports, and presenting findings to management and law enforcement. The goal is to build bridges between corporate security and law enforcement in complex electronic investigations.
Computer forensics involves preserving, identifying, extracting, documenting, and interpreting computer data for legal evidence or root cause analysis. It is used by law enforcement, businesses, and individuals in cases involving theft, fraud, harassment, and other crimes. The process generally involves acquiring the digital device, identifying and recovering data using forensic tools, evaluating the evidence, and presenting findings in a clear manner for legal purposes. Specialized skills and software are needed to perform forensic analysis while addressing techniques used by suspects to hide or corrupt digital evidence.
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. It discusses the cyber forensics process, which involves collection, preservation, analysis, documentation and presentation of digital evidence. It also covers topics like the chain of custody process, the role of first responders, acquisition and duplication of evidence, hashing and write protection, analyzing deleted data through data recovery tools, Windows and Linux log analysis, and responding to cyber crimes. Specific cyber crimes discussed include phishing, 419 scams, spamming, malware distribution, cyberstalking, fake online profiles, credit card fraud, and ransomware attacks. Reporting mechanisms and analysis tools for each are presented. The document concludes with a discussion of career paths in cyber forensics
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.
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.
1. The document outlines a presentation on network forensics, including introductions to intrusion detection systems, analyzing network traffic, network-based evidence, evidence handling, and investigating routers.
2. Network forensics aims to collect evidence by analyzing network traffic data from firewalls, intrusion detection systems, and other network equipment to identify security incidents.
3. Key aspects of network forensics include network monitoring, capturing network communications as evidence, and ensuring proper evidence handling and chain of custody procedures are followed.
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
My Presentation on Career Opportunities in Cyber Security presented at the North Cap University during the course inauguration ceremony, where I talked about different career paths to get into the cyber security domain.
This document provides an overview of computer forensics. It defines computer forensics as the scientific examination and analysis of data from computer storage media for use as evidence in a court of law. The document discusses the history and development of the field from the 1970s to present day, covering important events like the creation of specialized investigation teams and the establishment of standards and guidelines. It also outlines key concepts in computer forensics like principles, tools, requirements and processes involved in investigations.
Certified Ethical Hacking - Book Summaryudemy course
The document discusses techniques for scanning computer networks to identify vulnerabilities, including port scanning, firewall mapping, and identifying open ports and services. It describes common scanning methods like TCP and UDP scanning, stealth scanning, XMAS scanning, and idle scanning. Tools mentioned include nmap and netcat for port scanning, and traceroute for mapping network topology and devices. The goal of scanning is to gather information about exposed systems and services before attempting exploitation.
Remote forensics involves acquiring digital evidence from remote devices or locations without physical access. It includes applications like electronic discovery, incident response, network forensics, and cloud forensics. While often understood as live forensics, remote forensics also includes techniques like booting devices into forensic modes remotely or using forensic tools on remote systems to access local evidence. Enterprise-level remote forensic tools allow preventative forensics and faster incident response but are not widely used due to budget, knowledge, and legal barriers. As technology spreads and more data is stored remotely, remote forensics will become more important and perhaps even fully automated for Internet of Things devices in the future.
Science of Security: Cyber Ecosystem Attack Analysis MethodologyShawn Riley
Shawn Riley presented on the science of security and cyber intelligence analysis. He discussed analyzing the cyber attack lifecycle using the cyber ecosystem model, which views cybersecurity as an interacting system of people, processes, and technology. Riley's threat intelligence method uses the OODA loop to observe attacks, orient on threat actors, decide on indicators, and act by disseminating intelligence reports. His active defense method applies the PDCA cycle to plan defenses based on intelligence, implement countermeasures, check their effectiveness, and provide feedback to improve security over time.
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.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
This document provides an introduction to Service Integration and Management (SIAM). It defines SIAM as an operating model that integrates and manages services across multiple internal and external service providers. The document outlines the history and purpose of SIAM, as well as the SIAM ecosystem, practices, roles, structures, and roadmap. It also discusses how SIAM relates to other frameworks and the value it provides organizations through improved service quality, costs, governance and flexibility.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
The document contains templates for conducting various types of forensics investigations. It includes checklists for investigating evidence from different devices and media like hard disks, floppy disks, CDs, flash drives, and mobile phones. There are also templates for documenting information gathered during an investigation like seizure records, evidence logs, and case feedback forms. The templates are intended to guide and standardize forensic investigations of digital evidence.
This document provides an overview of various Windows-based command line tools. It lists tools like IPSecScan, MKBT, Aircrack, Outwit, Joeware Tools, MacMatch, WhosIP, Forfiles, Sdelete and describes their functions such as scanning for IPSec enabled systems, installing boot sectors, cracking wireless networks, and deleting files securely. It also summarizes command line tools for tasks like Active Directory management, password cracking, network scanning, and file operations.
Digital detectives specialize in computer forensics and network security. Their main roles include handling, investigating, and reacting to computer and network security incidents. They examine computers and other devices to recover evidence, using forensic tools and techniques. Digital detectives should have strong technical skills in computer forensics and operating systems. They may be required to testify in court about evidence and methods used. Continuous training, certification, and staying up to date on new techniques are important for digital detectives.
The document discusses investigating social networking websites for evidence. It provides an overview of social networking sites like MySpace, Facebook, and Orkut and how they are used. It outlines the investigation process, including searching for accounts, mirroring web pages, and documenting evidence. Specific areas of investigation on each site are examined, such as friend lists, photos, and comments. The summary report generation is also reviewed.
Model Liskula Cohen is suing Google over a defamatory blog post that called her the "#1 skanky superstar". She filed the lawsuit to determine the identity of the anonymous blogger. Another woman, Nyree Howlett, sued multiple people for uploading her private photos to Facebook and dating websites without permission. The documents discuss investigating defamation over websites and blog posts, including searching blog content, checking the blog URL and owner information, reviewing comments, and using tools like Archive.org to trace the source.
Five people were indicted for their involvement in an identity theft ring in Aurora, Colorado. The ring's leader, Shadwick Weaver, was facing 56 criminal counts related to identity theft, forgery, conspiracy, and organized crime. The group allegedly stole identities by burglarizing homes and vehicles, and used the stolen information to manufacture fake IDs and commit credit card fraud. They used the proceeds to buy methamphetamines. In a separate case, a woman from California named Jocelyn Kirsch was sentenced to 5 years in prison for her role in an identity theft scheme where she and a co-defendant stole identities from over 16 victims to fraudulently obtain over $119,000.
This document provides information on investigating sexual harassment incidents. It discusses types of sexual harassment like quid pro quo and hostile work environment harassment. It outlines the investigation process including interviewing witnesses and victims. Responsibilities of supervisors and employees are defined, such as supervisors addressing complaints and employees reporting issues. The document also discusses stalking behaviors and effects. Laws prohibiting sexual harassment are referenced, such as Title VII of the Civil Rights Act.
This module discusses investigating trademark and copyright infringement. It begins with an overview of trademarks, copyrights, and the differences between them. It then covers investigating trademark infringement, including monitoring for infringements, key considerations, and steps to take. It discusses copyright infringement and how copyrights are enforced through lawsuits. The module also covers plagiarism as a form of copyright infringement, types of plagiarism, and tools to detect plagiarism including Turnitin, CopyCatch, and other academic tools.
A hacker accessed a University of Florida dental school server containing personal information for over 344,000 current and former patients. An investigation found unauthorized software installed on the server from an outside location. Meanwhile, Express Scripts, one of the largest US pharmacy benefit firms, received an extortion letter threatening to disclose personal and medical data of millions of Americans if a payment demand was not met. This module discusses how computer data breaches occur through various methods, and how to investigate local machines, networks, and implement countermeasures to prevent future breaches.
This document discusses corporate espionage and methods for protecting against it. It provides an overview of common motivations for corporate spying like financial gain, challenges various techniques spies use such as hacking, social engineering, and dumpster diving. It also notes that insiders and outsiders both pose threats, and that aggregating information in one place increases risks. The document advises controlling access to data, conducting background checks on employees, and basic security measures like shredding documents, securing dumpsters, and training employees.
This document discusses various topics related to printer forensics, including different printing methods, the printer forensics process, and security solutions. It provides details on toner-based and inkjet printing, as well as methods for identifying printers through intrinsic signatures in printed documents. The printer forensics process involves pre-processing documents, generating printer profiles for comparison, and examining documents for evidence of manipulation. Security solutions discussed include digital watermarks, microprinting, and embedding invisible codes in documents to help trace counterfeits.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Building Production Ready Search Pipelines with Spark and MilvusZilliz
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.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.