Computer forensics involves the preservation, identification, extraction, documentation, and interpretation of computer media for root cause analysis. It is a branch of digital forensic science that applies techniques of computer investigation and analysis. The goal is the discovery, collection, and analysis of digital evidence found on computers and networks to identify the source of security attacks or crimes.
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.
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.
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.
Digital forensic is defined as the process of preserving, identifying, extracting, and documenting computer evidence for use in a court of law. It involves identifying evidence stored on devices, preserving the data without alteration, analyzing the evidence using forensic tools, and documenting the findings. The key steps of the digital forensic process are identification, preservation, analysis, documentation, and presentation. Common types of digital forensics include disk, network, wireless, database, malware, email, memory, and mobile device forensics. Forensic tools used in the process include those for forensic imaging to make bit-by-bit copies of storage devices and data recovery tools to extract data from damaged sources.
This document provides an overview of computer forensics. It defines computer forensics as identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The objective is to find evidence related to cyber crimes. Computer forensics has a history in investigating financial fraud, such as the Enron case. It describes the types of digital evidence, tools used, and steps involved in computer forensic investigations. Key points are avoiding altering metadata and overwriting unallocated space when collecting evidence.
Digital forensic principles and procedurenewbie2019
This document provides an overview of digital forensics principles and procedures. It discusses key guidelines for digital forensic investigations from organizations like ACPO and NIJ. The core principles of digital forensics are outlined, including that investigators should not alter original data and must have the skills to explain their examination process. The document also categorizes different types of digital forensics like computer, mobile, and audio/video forensics. The typical processes in a digital investigation are identified as identification, preservation, analysis, documentation, and presentation. Evidence can come from various electronic sources like computers, phones, and storage devices.
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.
Computer forensics involves the preservation, identification, extraction, documentation, and interpretation of computer media for root cause analysis. It is a branch of digital forensic science that applies techniques of computer investigation and analysis. The goal is the discovery, collection, and analysis of digital evidence found on computers and networks to identify the source of security attacks or crimes.
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.
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.
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.
Digital forensic is defined as the process of preserving, identifying, extracting, and documenting computer evidence for use in a court of law. It involves identifying evidence stored on devices, preserving the data without alteration, analyzing the evidence using forensic tools, and documenting the findings. The key steps of the digital forensic process are identification, preservation, analysis, documentation, and presentation. Common types of digital forensics include disk, network, wireless, database, malware, email, memory, and mobile device forensics. Forensic tools used in the process include those for forensic imaging to make bit-by-bit copies of storage devices and data recovery tools to extract data from damaged sources.
This document provides an overview of computer forensics. It defines computer forensics as identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The objective is to find evidence related to cyber crimes. Computer forensics has a history in investigating financial fraud, such as the Enron case. It describes the types of digital evidence, tools used, and steps involved in computer forensic investigations. Key points are avoiding altering metadata and overwriting unallocated space when collecting evidence.
Digital forensic principles and procedurenewbie2019
This document provides an overview of digital forensics principles and procedures. It discusses key guidelines for digital forensic investigations from organizations like ACPO and NIJ. The core principles of digital forensics are outlined, including that investigators should not alter original data and must have the skills to explain their examination process. The document also categorizes different types of digital forensics like computer, mobile, and audio/video forensics. The typical processes in a digital investigation are identified as identification, preservation, analysis, documentation, and presentation. Evidence can come from various electronic sources like computers, phones, and storage devices.
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.
Computer forensics is used to examine digital evidence of cyber crimes. It involves collecting, analyzing, and reporting digital data in a legally admissible way. Cyber crimes can include unauthorized access of computer systems, identity theft, software piracy, and more. Computer forensics professionals use various tools and techniques to retrieve evidence from computers, including deleted files, metadata, network logs and steganography. This evidence is then analyzed to investigate cyber crimes and support legal cases involving financial fraud, criminal prosecution, and corporate security violations.
This document discusses the definition, purpose, procedures, and challenges of investigating cyber crimes. It defines investigation under the Code of Criminal Procedure and outlines the key purposes of investigation as ascertaining facts, identifying criminals, arresting suspects, securing evidence, and presenting evidence in court. The procedures of investigation, including filing an FIR, collecting evidence, and filing a charge sheet are also described. Finally, the document notes challenges such as jurisdiction issues and lack of skilled investigators for cyber crimes.
The presentation is all about computer forensics. the process , the tools and its features and some example scenarios.. It will give you a great insight into the computer forensics
Cyber forensics involves applying scientific methods to digital evidence for legal purposes. It includes preserving, acquiring, analyzing, discovering, documenting, and presenting digital evidence. Common goals are to determine if unauthorized activity or crimes occurred using computer systems and networks. Cyber crimes are growing and can include hacking, cyber stalking, spamming, and intellectual property theft. Forensic investigations follow standard procedures including seizing evidence, making copies, and analyzing to find relevant information for legal cases.
The concept of online anonymity refers to keeping the identity of communicators hidden. Online privacy is more than just encrypting and decrypting data; it also includes the concealment of identity. The Dark Web is a section of the Internet that achieves the highest levels of anonymity and security. Dark Web, which, unlike the normal web, requires specialized access procedures, is regarded as the "Evil Twin of the Internet" since more than 57 percent of its area is occupied with unlawful content.
Digital Evidence in Computer Forensic InvestigationsFilip Maertens
The document discusses digital evidence and its importance in investigations. It defines different types of digital evidence and outlines challenges and best practices for acquiring, handling, and preserving digital evidence. Specifically, it covers defining digital evidence, why it is important, challenges involved, general methodologies including seizure practices and safe acquisition methods, and safeguarding digital evidence. The presentation provides guidance to law enforcement on properly obtaining and securing digital evidence.
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.
Computer forensics is a branch of digital forensic science involving the legal investigation and analysis of evidence found in computers and digital storage media. The objectives are to recover, analyze, and preserve digital evidence in a way that can be presented in a court of law, and to identify evidence and assess the identity and intent of perpetrators in a timely manner. Computer forensics techniques include acquiring, identifying, evaluating, and presenting digital evidence found in files, databases, audio/video files, websites, and other locations on computers, as well as analyzing deleted files, network activity, and detecting steganography.
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.
1. The document discusses several issues that can impede investigations of cybercrimes. While technology has enabled vast data searches, it also creates problems for investigators dealing with large amounts of information.
2. It outlines barriers such as obtaining witness cooperation, determining the appropriate jurisdiction, logistical challenges of international investigations, identifying suspects, challenges with search and seizure due to encryption, and locating relevant digital evidence.
3. Resolving these issues requires harmonizing laws globally, improving technical investigative skills, and enhancing information sharing and international cooperation between public and private sectors.
Mobile forensics is a branch of digital forensics that recovers evidence from mobile phones. It is important because mobile phones are ubiquitous and can contain evidence of crimes. Mobile forensics follows steps including preservation of the device, acquisition of data, examination of data, analysis of findings, and reporting results. It is challenging due to various device types and conditions, but techniques like isolating devices and using forensic software can extract hidden or encrypted data for investigations.
Computer forensics involves identifying, preserving, analyzing, and presenting digital evidence from computers or other electronic devices in a way that is legally acceptable. The main goal is not only to find criminals, but also to find evidence and present it in a way that leads to legal action. Cyber crimes occur when technology is used to commit or conceal offenses, and digital evidence can include data stored on computers in persistent or volatile forms. Computer forensics experts follow a methodology that involves documenting hardware, making backups, searching for keywords, and documenting findings to help with criminal prosecution, civil litigation, and other applications.
Digital forensics involves analyzing digital artifacts like computers, storage devices, and network traffic as potential legal evidence. The process includes preparing investigators, carefully collecting and preserving evidence while maintaining a clear chain of custody, examining and analyzing the data found, and reporting the results. Key steps are imaging systems to obtain an exact duplicate without altering the original, recovering both data at rest and volatile memory, and using specialized tools to find relevant information for investigations. Examples of cases that relied on digital evidence include those of Chandra Levy and the BTK killer.
Computer forensics is the process of examining computer systems, storage devices, and digital evidence to recover data for legal cases. It involves collecting, preserving, analyzing and presenting computer-related evidence without altering it. Computer evidence can be useful in criminal, civil and employment cases. Computer forensics experts follow strict methodologies to carefully handle systems and extract potential evidence while maintaining data integrity and chain of custody. Their goal is to discover all relevant files, including deleted files, and analyze artifacts to understand attempts to hide, delete or encrypt information.
Computer forensics is the process of identifying, preserving, analyzing and presenting digital evidence in a way that is legally acceptable. It aims to find criminal evidence and present it legally to punish criminals. The main steps are identifying evidence through acquisition and collection, preserving it, analyzing and extracting information from it, documenting the process, and presenting findings. It requires forensic tools like disk imaging software, hashing tools, and password cracking software. It is used for criminal prosecution, civil litigation, detecting financial fraud, and investigating corporate policy violations.
Download DOC word file from below Links:
Link 1 :http://gestyy.com/eiT4WO
Link 2: http://fumacrom.com/RQUm
Disclaimer: Above doc file is only for education purpose only
Process of Digital forensics
Identification
Preservation
Analysis
4. Presentation and Reporting:
5. Disseminating the case:
What is acquisition in digital forensics?
How to handle data acquisition in digital forensics
Types of Digital Forensics
Disk Forensics
Network Forensics
Wireless Forensics
Database Forensics
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.
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.
This document provides an overview of cyber crime and forensics. It discusses the types of cyber crimes like hacking, phishing, software piracy and cyber stalking. It also outlines the steps of computer forensics which include acquisition, identification, evaluation and presentation of digital evidence. Common tools used in computer forensics are also mentioned.
A more in-depth analysis of cyber forensics; but explained eloquently for the beginner, by Chaitanya Dhareshwar - Cyber Crime Investigator, Technocrat and Entrepreneur.
Learn what cyber forensics is all about and how you can begin using the basic tools of forensics in your day to day life. Not only does it make the world a safer place, your data remains significantly more secure.
Every step you take towards cyber security in this lawless internet allows you to achieve greater knowledge unhindered.
Computer forensics is used to examine digital evidence of cyber crimes. It involves collecting, analyzing, and reporting digital data in a legally admissible way. Cyber crimes can include unauthorized access of computer systems, identity theft, software piracy, and more. Computer forensics professionals use various tools and techniques to retrieve evidence from computers, including deleted files, metadata, network logs and steganography. This evidence is then analyzed to investigate cyber crimes and support legal cases involving financial fraud, criminal prosecution, and corporate security violations.
This document discusses the definition, purpose, procedures, and challenges of investigating cyber crimes. It defines investigation under the Code of Criminal Procedure and outlines the key purposes of investigation as ascertaining facts, identifying criminals, arresting suspects, securing evidence, and presenting evidence in court. The procedures of investigation, including filing an FIR, collecting evidence, and filing a charge sheet are also described. Finally, the document notes challenges such as jurisdiction issues and lack of skilled investigators for cyber crimes.
The presentation is all about computer forensics. the process , the tools and its features and some example scenarios.. It will give you a great insight into the computer forensics
Cyber forensics involves applying scientific methods to digital evidence for legal purposes. It includes preserving, acquiring, analyzing, discovering, documenting, and presenting digital evidence. Common goals are to determine if unauthorized activity or crimes occurred using computer systems and networks. Cyber crimes are growing and can include hacking, cyber stalking, spamming, and intellectual property theft. Forensic investigations follow standard procedures including seizing evidence, making copies, and analyzing to find relevant information for legal cases.
The concept of online anonymity refers to keeping the identity of communicators hidden. Online privacy is more than just encrypting and decrypting data; it also includes the concealment of identity. The Dark Web is a section of the Internet that achieves the highest levels of anonymity and security. Dark Web, which, unlike the normal web, requires specialized access procedures, is regarded as the "Evil Twin of the Internet" since more than 57 percent of its area is occupied with unlawful content.
Digital Evidence in Computer Forensic InvestigationsFilip Maertens
The document discusses digital evidence and its importance in investigations. It defines different types of digital evidence and outlines challenges and best practices for acquiring, handling, and preserving digital evidence. Specifically, it covers defining digital evidence, why it is important, challenges involved, general methodologies including seizure practices and safe acquisition methods, and safeguarding digital evidence. The presentation provides guidance to law enforcement on properly obtaining and securing digital evidence.
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.
Computer forensics is a branch of digital forensic science involving the legal investigation and analysis of evidence found in computers and digital storage media. The objectives are to recover, analyze, and preserve digital evidence in a way that can be presented in a court of law, and to identify evidence and assess the identity and intent of perpetrators in a timely manner. Computer forensics techniques include acquiring, identifying, evaluating, and presenting digital evidence found in files, databases, audio/video files, websites, and other locations on computers, as well as analyzing deleted files, network activity, and detecting steganography.
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.
1. The document discusses several issues that can impede investigations of cybercrimes. While technology has enabled vast data searches, it also creates problems for investigators dealing with large amounts of information.
2. It outlines barriers such as obtaining witness cooperation, determining the appropriate jurisdiction, logistical challenges of international investigations, identifying suspects, challenges with search and seizure due to encryption, and locating relevant digital evidence.
3. Resolving these issues requires harmonizing laws globally, improving technical investigative skills, and enhancing information sharing and international cooperation between public and private sectors.
Mobile forensics is a branch of digital forensics that recovers evidence from mobile phones. It is important because mobile phones are ubiquitous and can contain evidence of crimes. Mobile forensics follows steps including preservation of the device, acquisition of data, examination of data, analysis of findings, and reporting results. It is challenging due to various device types and conditions, but techniques like isolating devices and using forensic software can extract hidden or encrypted data for investigations.
Computer forensics involves identifying, preserving, analyzing, and presenting digital evidence from computers or other electronic devices in a way that is legally acceptable. The main goal is not only to find criminals, but also to find evidence and present it in a way that leads to legal action. Cyber crimes occur when technology is used to commit or conceal offenses, and digital evidence can include data stored on computers in persistent or volatile forms. Computer forensics experts follow a methodology that involves documenting hardware, making backups, searching for keywords, and documenting findings to help with criminal prosecution, civil litigation, and other applications.
Digital forensics involves analyzing digital artifacts like computers, storage devices, and network traffic as potential legal evidence. The process includes preparing investigators, carefully collecting and preserving evidence while maintaining a clear chain of custody, examining and analyzing the data found, and reporting the results. Key steps are imaging systems to obtain an exact duplicate without altering the original, recovering both data at rest and volatile memory, and using specialized tools to find relevant information for investigations. Examples of cases that relied on digital evidence include those of Chandra Levy and the BTK killer.
Computer forensics is the process of examining computer systems, storage devices, and digital evidence to recover data for legal cases. It involves collecting, preserving, analyzing and presenting computer-related evidence without altering it. Computer evidence can be useful in criminal, civil and employment cases. Computer forensics experts follow strict methodologies to carefully handle systems and extract potential evidence while maintaining data integrity and chain of custody. Their goal is to discover all relevant files, including deleted files, and analyze artifacts to understand attempts to hide, delete or encrypt information.
Computer forensics is the process of identifying, preserving, analyzing and presenting digital evidence in a way that is legally acceptable. It aims to find criminal evidence and present it legally to punish criminals. The main steps are identifying evidence through acquisition and collection, preserving it, analyzing and extracting information from it, documenting the process, and presenting findings. It requires forensic tools like disk imaging software, hashing tools, and password cracking software. It is used for criminal prosecution, civil litigation, detecting financial fraud, and investigating corporate policy violations.
Download DOC word file from below Links:
Link 1 :http://gestyy.com/eiT4WO
Link 2: http://fumacrom.com/RQUm
Disclaimer: Above doc file is only for education purpose only
Process of Digital forensics
Identification
Preservation
Analysis
4. Presentation and Reporting:
5. Disseminating the case:
What is acquisition in digital forensics?
How to handle data acquisition in digital forensics
Types of Digital Forensics
Disk Forensics
Network Forensics
Wireless Forensics
Database Forensics
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.
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.
This document provides an overview of cyber crime and forensics. It discusses the types of cyber crimes like hacking, phishing, software piracy and cyber stalking. It also outlines the steps of computer forensics which include acquisition, identification, evaluation and presentation of digital evidence. Common tools used in computer forensics are also mentioned.
A more in-depth analysis of cyber forensics; but explained eloquently for the beginner, by Chaitanya Dhareshwar - Cyber Crime Investigator, Technocrat and Entrepreneur.
Learn what cyber forensics is all about and how you can begin using the basic tools of forensics in your day to day life. Not only does it make the world a safer place, your data remains significantly more secure.
Every step you take towards cyber security in this lawless internet allows you to achieve greater knowledge unhindered.
This document discusses the field of digital forensics and the skills and qualifications needed to work in this area. It notes that digital forensics involves investigating computer crimes, security incidents, and gathering digital evidence from computers, networks, mobile devices, and the cloud. The document outlines the various domains within digital forensics and the technical knowledge required, including computer systems, file systems, operating systems, and network concepts. It recommends getting an undergraduate degree in computer science along with security certifications. It also suggests getting advanced forensic certifications and experience before pursuing higher level certifications. Finally, it discusses career opportunities in both government and private sector roles related to law enforcement, incident response, and cyber security.
This document discusses the evolving cyber threat landscape and increasing cyber risks that organizations face. It notes that cyber attacks are becoming more frequent, sophisticated, and targeted. The document outlines several recent major cyber attacks including data breaches at Sony, Target, and Ashley Madison, as well as ransomware attacks and hacking incidents. It emphasizes that organizations need to adopt a proactive, intelligence-led approach to cyber security that includes red team exercises, assuming breaches will occur, and deploying security intelligence systems to detect threats early. The key is understanding adversaries and their tactics in order to adapt defenses accordingly.
Digital forensics involves analyzing digital artifacts like computers, storage devices, and network traffic as potential legal evidence. The process includes preparing investigators, collecting evidence while maintaining a chain of custody, examining and analyzing the data, and reporting the results. Key steps are imaging systems to obtain an exact duplicate without altering the original, recovering volatile data from memory, and using tools like EnCase and The Sleuth Kit to manually review and search the evidence for relevant information.
The document outlines the steps of a cyber forensic investigation process:
1. Verification and identification of systems involved to collect relevant data.
2. Preservation, collection and acquisition of evidence from systems in a manner that minimizes data loss and maintains a legally defensible chain of custody.
3. Processing, review and analysis of collected data through techniques like timeline analysis, keyword searching and data recovery to find relevant evidence.
Presentation made by Dr Tabrez Ahmad in Biju Pattanaik State Police Academy Bhubaneswar. To train DSP,s on Cyber Crime Investigation and Cyber Forensics.
Digital Crime & Forensics - Presentationprashant3535
The document discusses digital crime and forensics. It defines digital crime as any crime where a computer is used as a tool or target. Examples include malware, denial of service attacks, and phishing. Forensics involves the identification, preservation, extraction, documentation, interpretation and presentation of digital evidence. However, forensics faces challenges due to issues like anonymity, large data storage, encryption, and differences between legal systems of countries. The document concludes that collaboration between law enforcement, governments and industry is needed to address new trends in digital crime.
Cyber crime is a growing problem in India. Some common cyber crimes reported in India include phishing, hacking of government websites, and identity theft. India ranks 11th globally for reported cyber crimes, which are increasing due to factors like rapid growth of internet users. Common cyber crimes involve unauthorized access to systems, data theft and alteration, and using computers to enable other illicit activities. While laws like the IT Act 2000 have been enacted to tackle cyber crimes, enforcement remains a challenge as only a small percentage of crimes are reported. Techniques like antivirus software, firewalls, and educating users can help address the problem.
This document discusses legal aspects and their impact on digital forensics. It begins with defining digital forensics and noting that legal search authority is required. It outlines requirements for collecting digital evidence, such as satisfying rules of evidence. Dimensions of privacy like personal, territorial, and information privacy are covered. Real-time examples from India are provided, such as a case of hosting obscene profiles in Tamil Nadu where digital evidence led investigators to identify a suspect. The document stresses the importance of proper evidence handling and how digital forensics can support legal proceedings.
Kandarp Shah has over 10 years of experience in information security consulting. The presentation aims to educate students about technology, internet, and cyber crimes as well as preventative measures. Cyber crime refers to criminal acts using computers and the internet. Motivations for cyber crimes include money, curiosity, revenge, and praise. Cyber crimes are increasing due to greater internet and smartphone use. Common cyber crimes discussed include cyber pornography, identity theft, email spoofing, intellectual property crimes, and cyber defamation.
The document discusses various types of cyber crimes such as hacking, data theft, email spoofing, identity theft, child pornography, denial of service attacks, virus dissemination, computer vandalism, cyberterrorism, and software piracy. It provides details on the first recorded cyber crime in 1820, and categorizes cyber crimes as those using computers as targets or weapons. For each crime, it outlines the relevant Indian laws and punishments prescribed under the Information Technology Act and Indian Penal Code.
This document discusses various types of cyber crimes such as hacking, child pornography, denial of service attacks, virus dissemination, cyber terrorism, and software piracy. It provides examples of the earliest recorded cyber crime in 1820 and describes how hackers illegally access computer systems. The text also addresses how the internet enables sexual abuse of children worldwide and how cyber criminals flood networks to deprive victims of access. Five men from Russia and Ukraine were recently charged in the biggest data breach in US history involving theft of over 160 credit card numbers from companies like Nasdaq and JC Penney, costing more than $300 million. Cyber security aims to establish rules to protect against internet attacks through measures like antivirus software, firewalls, and
This document discusses various types of computer crimes including unauthorized computer access, creation and spreading of malicious programs, cyber harassment, and weak punishment in the US. It notes that while computer crimes are increasing, accurate statistics are difficult to obtain since many go unreported or losses are hard to calculate. The document outlines different forms of unauthorized computer use such as voyeurism, data alteration, deletion, and denial of service attacks. It also discusses how computer crimes are new ways to harm people compared to older crimes where computers are merely a tool.
The document discusses various privacy and security issues related to internet use. It covers topics like internet privacy laws, the Children's Online Privacy Protection Act (COPPA), gender and electronic privacy concerns like cyberstalking, the USA PATRIOT Act, cookies, spam, spyware, and more. It provides details on specific cases and legislation while outlining both benefits and criticisms of various technologies and their impact on user privacy.
A Study Of Cybercrimes In India Using Digital ForensicsEmily Smith
This document summarizes a research paper on studying cybercrimes in India using digital forensics. It discusses how digital forensics can be used to investigate the "Sony.sambandh.com" cybercrime case from 2013. The paper also reviews literature on identity theft and how digital evidence can be analyzed using forensic tools. It notes that cybercrimes are increasing and highlights the need for international cooperation to address these crimes.
This document summarizes computer misuse and criminal law relating to unauthorized computer access and hacking. It discusses three categories of computer misuse under the UK Computer Misuse Act of 1990 - accessing computer material without permission, accessing with intent to commit crimes, and altering computer data without permission. Punishments for these offenses include fines and prison time. The document also outlines various types of computer crimes like fraud, eavesdropping, hacking, copyright infringement, and viruses. It discusses laws governing computer-enabled crimes and measures for preventing misuse like the Data Protection Act, copyright law, closing abusive chat rooms, reducing email spam, and maintaining security.
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 social engineering techniques used to manipulate humans and exploit their traits such as fear, anxiety, and trust in order to elicit confidential information. It provides examples of phishing and pretexting scams along with case studies of famous social engineers. Finally, it outlines potential defenses against social engineering attacks such as implementing least privilege access, password policies, and security awareness training.
This document discusses social engineering techniques such as exploiting human traits like fear, anxiety, and trust to elicit information that can be used to steal data, access systems, or manipulate others. It provides examples of common social engineering attacks like phishing and pretexting calls. It also outlines defenses against social engineering like implementing least privilege access, strong password policies, and security awareness training.
This document discusses high tech crimes and cybersecurity. It provides examples of different types of high tech crimes like data theft, hacking, identity theft, and cyberterrorism. It also discusses measures that can be taken to enhance cybersecurity, like using antivirus software, firewalls, strong passwords, and backing up data. Forensics procedures for investigating cybercrimes are also summarized.
Your computer contains evidence of any cyber crimes committed using that device. As the crime scene, investigators can examine the computer's files, browser history, and other digital traces to uncover the perpetrator's identity and activities. Maintaining good cyber security practices and being aware of how digital data can be used against you are important ways to protect yourself and others online.
INTRODUCTION TO COMPUTER FORENSICS
Introduction to Traditional Computer Crime, Traditional problems associated with Computer Crime. Introduction to Identity Theft & Identity Fraud. Types of CF techniques – Incident and incident response methodology – Forensic duplication and investigation. Preparation for IR: Creating response tool kit and IR team. – Forensics Technology and Systems – Understanding Computer Investigation – Data Acquisition.
INTRODUCTION TO COMPUTER FORENSICS
Introduction to Traditional Computer Crime, Traditional problems associated with Computer Crime. Introduction to Identity Theft & Identity Fraud. Types of CF techniques – Incident and incident response methodology – Forensic duplication and investigation. Preparation for IR: Creating response tool kit and IR team. – Forensics Technology and Systems – Understanding Computer Investigation – Data Acquisition.
Cybercrimeandforensic 120828021931-phpapp02Gol D Roger
This case study describes a large-scale international cybercrime gang that was busted in Chennai, India. The gang was involved in hacking ATMs using stolen credit card numbers and PINs acquired through phishing. A key member of the gang, Deepak Prem Manwani, was arrested in Chennai while hacking an ATM there. An investigation revealed that the gang had set up fake websites to phish credit card details and PINs from millions of subscribers. They then sold this stolen data to people like Manwani, who used it to hack ATMs. Manwani had hacked ATMs in Mumbai as well. The FBI was already investigating the gang based on complaints from victims in the US. Man
This document summarizes a training program on cyber security that took place from November 19th to December 2nd 2018. It covered topics such as computer forensics and its tools, traditional computer crimes, identity theft and fraud, computer forensics techniques, cyber crimes and how to reduce risks of identity theft. The training discussed investigating computer systems for evidence of crimes and recovering deleted files through data acquisition and forensic analysis.
The document summarizes key aspects of Indian cyber law, including sections on cyber pornography, the Baazee case, protected systems, tampering with source code, digital evidence, and an overview. It discusses punishments for publishing porn, the findings in the Baazee case where obscene material was listed for sale, requirements for declaring systems protected, punishments for tampering with source code, and how digital evidence was used in the Parliament attack case.
Rohas - 7 Years Of Indian Cyber Laws - ClubHack2007ClubHack
The document summarizes key aspects of Indian cyber law, including sections on cyber pornography, the Baazee case, protected systems, tampering with source code, digital evidence, and an overview. It discusses punishments for publishing obscene material online under Section 67, the findings of an Indian court in the Baazee case where an MMS clip was listed for sale, and provisions for accessing protected systems and tampering with source codes under the IT Act. It also outlines how digital evidence from a laptop and disks were used in the 2001 Parliament attack case.
This document summarizes cybercrime offenses and relevant cases under the Information Technology Act 2000 of India. It begins by defining cybercrime and outlining the Act's penalties and offenses. It then discusses 10 case studies related to sections 43, 65, 66, 66A-F, 67, 67B, 69 of the Act. Common cybercrime scenarios are also mapped to their applicable legal sections. The document aims to provide clarity on cybercrime and the IT Act through real examples.
Similar to Cyber Forensic - Policing the Digital Domain (20)
Land of Pyramids, Petra, and Prayers - Egypt, Jordan, and Israel Tourppd1961
This is the presentation of photos and history of Land of Pyramids, Petra, and Prayers from our Egypt, Jordan, and Israel Tour during February, 2020. This was prepared and presented to the family and friends on 19th July, 2020.
This document discusses object-oriented programming in C++. It covers several topics related to OOP in C++ including classes, constructors, destructors, inheritance, polymorphism, and templates. The document consists of lecture slides that define key concepts and provide examples to illustrate how various OOP features work in C++.
The document discusses digital geometry and provides an overview of the topic. It begins with a brief history of geometry and discusses how the field of digital geometry emerged with the advent of computers and digital images. It then covers some key concepts in digital geometry including tessellations, connectivity in 2D and 3D, and the Jordan curve theorem. The document aims to provide an introduction to digital geometry and its fundamental topics.
This presentation was made in PRISM workshop on Technology Innovations and Trends in IT in the second decade of 21st century. The agenda is from IEEE Computer Society.
This presentation as made as a tutorial at NCVPRIPG (http://www.iitj.ac.in/ncvpripg/) at IIT Jodhpur on 18-Dec-2013.
Kinect is a multimedia sensor from Microsoft. It is shipped as the touch-free console for Xbox 360 video gaming platform. Kinect comprises an RGB Camera, a Depth Sensor (IR Emitter and Camera) and a Microphone Array. It produces a multi-stream video containing RGB, depth, skeleton, and audio streams.
Compared to common depth cameras (laser or Time-of-Flight), the cost of a Kinect is quite low as it uses a novel structured light diffraction and triangulation technology to estimate the depth. In addition, Kinect is equipped with special software to detect human figures and to produce its 20-joints skeletons.
Though Kinect was built for touch-free gaming, its cost effectiveness and human tracking features have proved useful in many indoor applications beyond gaming like robot navigation, surveillance, medical assistance and animation.
The new standard for C++ language has been signed in 2011. This new (extended) language, called C++11, has a number of new semantics (in terms of language constructs) and a number of new standard library support. The major language extensions are discussed in this presentation. The library will be taken up in a later presentation.
The document discusses function call optimization in C++. It provides examples of constructor, base class constructor, and get/set method calls in both debug and release builds. In release builds, the compiler fully optimizes constructor calls and inlines non-virtual functions like get/set methods to improve performance. Only virtual functions cannot be optimized as their call sequence depends on runtime type.
The document discusses different ways to define integer constants in C, including using integer literals, the #define preprocessor directive, enums, and the const qualifier. It provides a table comparing how each option is handled by the C preprocessor, compiler, and debugger. Code examples are given to illustrate the behavior. The key points are that integer literals are replaced directly, #define symbols are replaced textually, enums and const ints create symbols but const ints allow address operations in both the compiler and debugger.
The document discusses the key components of the Standard Template Library (STL) in C++, including containers, iterators, and algorithms. It explains that STL containers manage collections of objects, iterators allow traversing container elements, and algorithms perform operations on elements using iterators. The main STL containers like vector, list, deque, set, and map are introduced along with their basic functionality. Iterators provide a common interface for traversing container elements. Algorithms operate on elements through iterators but are independent of container implementations.
The document discusses object lifetime in C/C++. It covers the fundamentals of object lifetime including construction, use, and destruction. It also describes the different types of objects - static objects which are compiler-managed and have lifetime from program startup to termination, automatic objects which are stack-based and destroyed when they go out of scope, and dynamic objects which are user-managed and allocated on the free store.
This document provides guidance on effective technical documentation. It discusses planning documentation by determining the objective, intended audience, necessary content and approximate length. It also covers tips for clear writing style such as using active voice and avoiding contractions. The goals of technical documentation are clarity, comprehensiveness, conciseness and correctness.
The document discusses VLSI education and development in India, including:
1. A chronology of VLSI education from 1979-2005, including government initiatives like SMDP to boost VLSI design manpower and establish academic centers.
2. Surveys by VSI that found a growing gap between projected VLSI manpower needs and current outputs from Indian universities.
3. A workshop discussing goals of university-industry collaboration and feedback that graduating students lack industry readiness in areas like design skills and experience with industrial tools.
The document provides an overview of reconfigurable computing architectures. It discusses several leading companies in the field including Elixent, QuickSilver, Pact Corp, and Systolix. It then summarizes key reconfigurable computing architectures including D-Fabrix array, Adaptive Computing Machine (ACM), eXtreme Processing Platform (XPP), and PulseDSPTM. The ACM is based on QuickSilver's Self-Reconfigurable Gate Array (SRGA) architecture, which allows fast context switching and random access of the configuration memory.
The document discusses three potential factors that influence women's participation in the workforce: educational systems, technical inclination, and social environment. It explores whether educational systems are a culprit or savior, and whether women have weaker technical skills or are differently abled. Finally, it examines how social environments can be a culprit, through issues like declining sex ratios, workplace discrimination, and domestic discrimination against women with two full-time jobs.
Handling Exceptions In C & C++ [Part B] Ver 2ppd1961
This document discusses exception handling in C++. It provides an overview of how compilers manage exceptional control flow and how functions are instrumented to handle exceptions. It discusses normal vs exceptional function call flows, and the items involved in stack frames like context, finalization, and unwinding. It also summarizes Meyers' guidelines for exception safety, including using destructors to prevent leaks, handling exceptions in constructors, and preventing exceptions from leaving destructors.
The document discusses exception handling in C and C++. It covers exception fundamentals, and techniques for handling exceptions in C such as return values, global variables, goto statements, signals, and termination functions. It also discusses exception handling features introduced in C++ such as try/catch blocks and exception specifications.
The document discusses various models for offshore technology services in the electronics industry. It defines key terms like outsourcing, insourcing, onsite, offsite, and offshore. It describes different software delivery models including the onsite, offsite, offshore, and global delivery models. It discusses factors that determine if work can be done offshore, or is "offshoreable", as well as advantages and disadvantages of outsourcing. It outlines different types of offshore outsourcing like ITO, BPO, and software R&D. Finally, it provides a brief overview of software outsourcing in the electronics industry.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
Cyber Forensic - Policing the Digital Domain
1. March 7, 2009 Cyber Forensic Dr. Partha Pratim Das Interra Systems (India) Pvt. Ltd. Policing the Digital Domain Soft Computing Techniques and their Applications Ramkrishna Mission Vidyamandir, Belur
The Processes include: Specification Development Process : After a tool category and at least one tool is selected by the steering committee NIST and law enforcement staff develops a requirements, assertions and test cases document (called the tool category specification). The tool category specification is posted to the web for peer review by members of the computer forensics community and for public comment by other interested parties. Relevant comments and feedback are then incorporated into the specification. Finally a test environment is designed for the tool category. Tool Test Process : After a category specification has been developed and a tool selected, NIST goes ahead with the test process. It acquires the tool to be tested, reviews the tool documentation, selects relevant test cases depending on features supported by the tool, develops the test strategy, executes tests and finally produces test report. Steering Committee and Vendor, then reviews the test report. At the end, NIST posts support software & test report to web.
CATEGORIES OF CYBER LAWS • Laws Relating to Digital Contracts • Laws Relating to Digital Property • Laws Relating to Digital Rights • Law of Cyber Crimes
CATEGORIES OF CYBER LAWS • Laws Relating to Digital Contracts • Laws Relating to Digital Property • Laws Relating to Digital Rights • Law of Cyber Crimes
Cyber Action Teams (CATs) : These are small, highly-trained teams of FBI agents, analysts, and computer forensics and malicious code experts who travel the world on a moment’s notice to respond to fast-moving cyber threats. Computer Crimes Task Force : An FBI agent takes a call from an Internet scam victim. Down the hall in a computer lab, a police detective poses undercover as a teenage girl in an online chat room. Steps away, a forensic examiner is breaking passwords and decrypting files on a suspected hacker’s computer. Internet Crime Complaint Center (IC3) [13]: The FBI and the National White Collar Crime Center have set up a clearinghouse for triaging cyber crime complaints called the Internet Crime Complaint Center, or IC3. Based in West Virginia, it works closely with a range of law enforcement agencies and private sector organizations.