Forensic Audio and Video Analysis
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This document discusses audio and video forensic evidence analysis. It begins by explaining how audio and video recordings can provide eyewitness accounts of crimes. It then discusses different types of recordings, including analog and digital, as well as techniques for repairing, authenticating and enhancing recordings. The document outlines the process of audio and video analysis, including how the analysis is performed and what information is included in analysis reports. It discusses limitations and certification programs in the field.
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The task of speaker identification is to determine the identity of a speaker by machine. To recognize the voice, the voices must be familiar in the case of human beings as well as machines.
The objective of speaker identification is to determine the identity of a speaker by machine on the basis of his/her voice. No identity is claimed by the user.
GitHub Link:https://github.com/TrilokiDA/Speaker-Identification-from-Voice
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Intrusion detection systems collect information from systems and networks to analyze for signs of intrusion. Digital evidence encompasses any digital data that can establish a crime or link a crime to a victim or perpetrator. It is important to properly collect, preserve, and identify digital evidence using forensically-sound procedures to avoid altering or destroying the original evidence. This involves creating bit-stream copies of storage devices, documenting the collection and examination process, and verifying the integrity of evidence.
Anti forensic
Encryption, steganography, data hiding, artifact wiping, and trail obfuscation are anti-forensic techniques used to hide digital evidence and make forensic investigations difficult. These techniques aim to conceal criminal activity by hiding data in places that are hard to find and modify file metadata and attributes to cast doubt on evidence. While some argue these methods help improve forensic procedures, they are generally considered malicious since they are designed to cover up illegal acts and prevent authorities from proving criminal cases.
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1. How sound is produced through vibration of the vocal cords and interpreted by the brain.
2. The process of speaker identification which determines the identity of an unknown speaker by comparing their speech signals to a database of known speakers. This can be open-set where the speaker may not be in the database, or closed-set where they are known to be there.
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The task of speaker identification is to determine the identity of a speaker by machine. To recognize the voice, the voices must be familiar in the case of human beings as well as machines.
The objective of speaker identification is to determine the identity of a speaker by machine on the basis of his/her voice. No identity is claimed by the user.
GitHub Link:https://github.com/TrilokiDA/Speaker-Identification-from-Voice
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Encryption, steganography, data hiding, artifact wiping, and trail obfuscation are anti-forensic techniques used to hide digital evidence and make forensic investigations difficult. These techniques aim to conceal criminal activity by hiding data in places that are hard to find and modify file metadata and attributes to cast doubt on evidence. While some argue these methods help improve forensic procedures, they are generally considered malicious since they are designed to cover up illegal acts and prevent authorities from proving criminal cases.
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Digital Forensic ppt
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This document discusses voice analysis and its applications in forensic science. It covers several key points:
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Next, the video explains important concepts like Locard’s principle, order of volatility and chain of custody.
Finally, there is a comparison between commercial and open source tools.
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Network forensics is the capture, recording, and analysis of network events and traffic in order to discover the source of security attacks or other problem incidents. It involves systematically capturing and analyzing network traffic and events to trace and prove a network security incident. Network forensics provides crucial network-based evidence that can be used to successfully prosecute criminals. It is a difficult process that depends on maintaining high-quality network information.
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Steganography is the art and science of hiding messages within other non-secret text, images, or other files. It works by encoding hidden messages within carrier files like images, videos, or documents in a way that avoids attracting attention to the message itself. Common techniques for steganography include least significant bit insertion and masking and filtering. While it can be used for privacy, it has also been used by hackers, terrorists, and criminals for illegal purposes.
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Reliance on forensic investigation of information systems has become a daily requirement for law enforcement and security practitioners around the world.
Effective evidence collection and analysis is the foundation of any investigation; identification of suspects, motives and methods demand the acquisition of the largest amount information that evidence can provide us. Anti-Forensics – Real world identification, analysis and prevention will discuss how criminals, attackers, non-enlightened investigators all have the ability to impact the amount useful information we have at our disposal. Michael will show the audience real world scenarios detailing how Anti-forensics tools are used to
hide and destroy incriminating evidence, outlining common anti-forensic techniques. This will be followed by discussion of hands-on identification and prevention
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The development of intelligent network forensic tools to focus on specific type of network traffic analysis is a challenge in terms of future perspective.
This will reduce time delays, less computational resources requirement; minimize attacks, providing reliable and secured evidences, and efficient investigation with minimum efforts
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Digital Forensic ppt
Digital forensics is a scientific field that involves the identification, collection, examination, and analysis of digital data for use as evidence in court. It has several sub-disciplines including computer forensics, network forensics, mobile device forensics, digital image/video/audio forensics, memory forensics, and cloud forensics. The goal of digital forensics is to recover electronic evidence from computers, networks, mobile devices, and digital media in a forensically sound manner.
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Computer forensics is a very important branch of computer science in relation to computer and Internet related crimes. Earlier, computers were only used to produce data but now it has expanded to all devices related to digital data. The goal of Computer forensics is to perform crime investigations by using evidence from digital data to find who was the responsible for that particular crime.
For better research and investigation, developers have created many computer forensics tools. Police departments and investigation agencies select the tools based on various factors including budget and available experts on the team.
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1. The document discusses camera fingerprint analysis, which is used in digital forensics to identify the source device of digital images.
2. It explains that each image sensor has a unique photo response non-uniformity (PRNU) pattern that is imprinted onto every image taken, acting as a sensor fingerprint.
3. The process of linking devices involves calculating a camera reference pattern from multiple images, extracting the noise pattern from a target image, and finding the correlation between the reference pattern and target noise to determine if they match.
Anti forensics-techniques-for-browsing-artifacts
Anti-forensics refers to any technique, gadget or software designed to hamper a computer investigation. Achieve Security using Anti Forensics. Anti-forensics Includes: Encryption, stenography, disk cleaning, file wiping. Anti-Forensics mainly for the security purpose.For confidentiality of Information or Securing the Web-Transaction. Smart Criminals are using it to Harden the forensic Investigation.
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Computer forensics is the science of investigating digital devices and media for legal evidence. It began in the late 1980s with the creation of organizations like IACIS. Investigators use methods to detect and recover hidden, deleted, or encrypted data through techniques like disk analysis, steganalysis, and data carving. They must have expertise in operating systems, file systems, data storage, and encryption to properly handle electronic evidence for criminal and civil cases. While computer forensics allows thorough searches and analysis of large amounts of data, it also faces challenges such as ensuring evidence integrity and overcoming costs.
First Responder Officer in Cyber Crime
An officer responding first to a cyber crime scene is called a first responder. They are responsible for identifying, protecting, and preserving digital evidence found at the crime scene. This includes securing the area, documenting findings, collecting evidence forensically, and maintaining the chain of custody when transporting digital evidence to a forensics laboratory for examination. Digital evidence has properties making it suitable for forensic investigation, such as being duplicable without risk of damage to the original, and difficult to permanently destroy.
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This document discusses voice analysis and its applications in forensic science. It covers several key points:
1) Voices convey a great deal of information beyond language, such as the speaker's identity, emotions, and health. This makes voice analysis potentially useful for forensic purposes.
2) Common forensic tasks involving voice analysis include speaker identification, where an unknown voice is compared to voice samples from known individuals, and voice comparison to determine if two recordings come from the same speaker.
3) Automatic speaker recognition techniques use algorithms like Gaussian mixture models and mel-frequency cepstral coefficients to analyze and compare voice recordings without human interpretation. These techniques aim to provide more objective and universal analysis compared to older auditory-based methods.
Forensic imaging
This document discusses forensic imaging. It describes how forensic imaging creates an exact copy of a hard drive or other media that can be used as digital evidence. It outlines different types of forensic imaging like physical, logical, and targeted collection. It also lists several tools that are commonly used for forensic imaging like FTK Imager, DriveImage XML, and EnCase forensic imager. Finally, it provides guidance on initial response when encountering shut down machines or live machines at a crime scene.
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Brief introduction to digital forensics
This is a draft presentation of the 2nd video of the course "Digital forensics with Kali Linux" published by Packt Publishing in May 2017: https://www.packtpub.com/networking-and-servers/digital-forensics-kali-linux
In this presentation, we introduce digital forensics and cover the fundamental concepts that should be learned to fully understand the hands-on part of the course. The first part of the video gives a definition of what digital forensics is, explains which application areas it has and the various sub-branches in which is divided.
The second part covers the different steps of digital forensics: assessment, acquisition, analysis and reporting.
Next, the video explains important concepts like Locard’s principle, order of volatility and chain of custody.
Finally, there is a comparison between commercial and open source tools.
Encase Forensic
The document discusses EnCase, a digital forensics software. It can recover various types of data from devices including pictures, documents, and entire disk drives. The software includes tools for acquisition, analysis, and reporting. It uses the .E01 file format to store evidence and allows users to search devices for keywords, artifacts, and other digital evidence. The document provides instructions for downloading, installing, and using EnCase to examine digital media and create case files.
Network forensics1
Network forensics is the capture, recording, and analysis of network events and traffic in order to discover the source of security attacks or other problem incidents. It involves systematically capturing and analyzing network traffic and events to trace and prove a network security incident. Network forensics provides crucial network-based evidence that can be used to successfully prosecute criminals. It is a difficult process that depends on maintaining high-quality network information.
Steganography
Steganography is the art and science of hiding messages within other non-secret text, images, or other files. It works by encoding hidden messages within carrier files like images, videos, or documents in a way that avoids attracting attention to the message itself. Common techniques for steganography include least significant bit insertion and masking and filtering. While it can be used for privacy, it has also been used by hackers, terrorists, and criminals for illegal purposes.
Anti-Forensics: Real world identification, analysis and prevention
Reliance on forensic investigation of information systems has become a daily requirement for law enforcement and security practitioners around the world.
Effective evidence collection and analysis is the foundation of any investigation; identification of suspects, motives and methods demand the acquisition of the largest amount information that evidence can provide us. Anti-Forensics – Real world identification, analysis and prevention will discuss how criminals, attackers, non-enlightened investigators all have the ability to impact the amount useful information we have at our disposal. Michael will show the audience real world scenarios detailing how Anti-forensics tools are used to
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practices used to raise awareness around current academic research and identify potential solutions for practitioners and law enforcement organizations.
mobile forensic.pptx
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.
Network forensic
The development of intelligent network forensic tools to focus on specific type of network traffic analysis is a challenge in terms of future perspective.
This will reduce time delays, less computational resources requirement; minimize attacks, providing reliable and secured evidences, and efficient investigation with minimum efforts
Operating System Forensics
Ultimately, in a forensic examination, we are investigating the action of a Person
Almost every event or action on a system is the result of a user either doing something
Many events change the state of the Operating System (OS)
OS Forensics helps understand how system changes correlate to events resulting from the action of somebody in the real world
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