Technical Challenges in Cyber Forensics
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A presentation given at the Glasgow Caledonian University, Digital Forensics Student Conference in 2014 discussing some of the technical challenges we face in cyber forensics and possible research areas.
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Digital Forensic: Brief Intro & Research Challenge
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Cyber Forensics & Challenges
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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.
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This document provides an overview of mobile device forensics. It discusses how people store personal information on mobile devices and the challenges of investigating these devices. The document covers mobile device characteristics, memory types, identity modules, cellular networks, and investigative tools and methods. These include manual extraction, logical extraction, chip-off acquisition, and preservation techniques like isolation and acquisition of internal memory, SIM cards, and external storage. The objectives are to understand mobile device forensics and the characteristics and challenges involved in acquiring, analyzing, and investigating evidence from mobile devices.
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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.
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The document discusses best practices for processing crime and incident scenes involving digital evidence. It outlines general tasks investigators perform, including identifying digital artifacts as evidence, collecting and preserving evidence, analyzing and organizing it, and reproducing results reliably. It emphasizes the importance of collecting evidence systematically and in compliance with relevant rules and standards to ensure the authenticity and credibility of the evidence.
Introduction to computer forensic
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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.
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1) Data breaches are a constant threat, with insiders posing a major risk.
2) Proactive database forensics is an emerging area that can help detect and respond to insider threats.
3) A proactive forensic architecture is needed to integrate auditing and forensics activities to reliably gather evidence from multiple sources and ensure its integrity.
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The document discusses digital image verification and authentication protocols used in computer forensics investigations. It describes how investigators can copy all information from a suspect computer system without altering the original. The copy must be authenticated to prove it has not been modified. This involves generating a cryptographic hash of the copy and storing it in a "safe box". All safe boxes for a case are grouped in a "vault" with a hash to verify integrity. Keys and procedures are described for verifying that a copy was properly authenticated and can be traced to a specific computer at a given time. The goal is to allow investigators to securely collect digital evidence while respecting the rights of innocent parties.
Mobile forensics
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.
Digital investigation
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.
Preserving and recovering digital evidence
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.
computer forensic tools-Hardware & Software tools
This document discusses computer forensic tools and how to evaluate them. It covers the major tasks performed by forensic tools, including acquisition, validation, extraction, reconstruction, and reporting. Acquisition involves making a copy of the original drive, while validation ensures the integrity of copied data. Extraction recovers data through viewing, searching, decompressing, and other methods. Reconstruction recreates a suspect drive. Reporting generates logs and reports on the examination process and findings. The document examines both software and hardware tools, as well as command-line and graphical user interface options. Maintaining and selecting appropriate tools is important for effective computer investigations.
Digital forensics
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.
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1) Over 471,000 cases were pending computerization across civil and criminal matters. All case details were entered manually by court staff without external help.
2) Linux-based systems were implemented as they are cost-effective and allow for free/low-cost upgrades. Hardware including PCs, servers, and UPS systems were installed across three court complexes.
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This document discusses digital forensics and the work done by the National Institute of Standards and Technology (NIST) in this area. It provides examples of types of digital evidence, uses of digital forensics techniques, and the phases of performing digital forensics according to NIST's guidelines. It also discusses policies, procedures, maintaining a chain of evidence, NIST's computer forensics tool testing program, the National Software Reference Library, Computer Forensic Reference Data Sets, and some other NIST publications related to digital and mobile device forensics.
01 Computer Forensics Fundamentals - Notes
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.
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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.
Processing Crimes and Incident Scenes
The document discusses best practices for processing crime and incident scenes involving digital evidence. It outlines general tasks investigators perform, including identifying digital artifacts as evidence, collecting and preserving evidence, analyzing and organizing it, and reproducing results reliably. It emphasizes the importance of collecting evidence systematically and in compliance with relevant rules and standards to ensure the authenticity and credibility of the evidence.
Introduction to computer forensic
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.
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.
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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.
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This document discusses keyloggers, malware detection, and forensic investigation of infected systems. It defines keyloggers as hardware or software that captures keystrokes and malware as malicious software like viruses and Trojans. It provides tips for detecting keyloggers and malware through artifacts in the system, registry, prefetch files, and suspicious files and entries. It outlines methods for determining the infection source and timeline, and identifying captured data, attacker information, and next steps for investigators.
Database forensics
1) Data breaches are a constant threat, with insiders posing a major risk.
2) Proactive database forensics is an emerging area that can help detect and respond to insider threats.
3) A proactive forensic architecture is needed to integrate auditing and forensics activities to reliably gather evidence from multiple sources and ensure its integrity.
06 Computer Image Verification and Authentication - Notes
The document discusses digital image verification and authentication protocols used in computer forensics investigations. It describes how investigators can copy all information from a suspect computer system without altering the original. The copy must be authenticated to prove it has not been modified. This involves generating a cryptographic hash of the copy and storing it in a "safe box". All safe boxes for a case are grouped in a "vault" with a hash to verify integrity. Keys and procedures are described for verifying that a copy was properly authenticated and can be traced to a specific computer at a given time. The goal is to allow investigators to securely collect digital evidence while respecting the rights of innocent parties.
Mobile forensics
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.
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Preserving and recovering digital evidence
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Digital forensics
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.
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- 1. Technical Challenges in Cyber Forensics Glasgow Caledonian University, Digital Forensics Student Conference
- 2. Agenda The technical challenges The research areas
- 3. Before we begin… Who is NCC? • 100 million GBP revenue FTSE company • Cyber Security Assurance Practice • 180 UK technical assurance consultants • applied research (.gov.uk / .co.uk) • technical security assessments • cyber forensics incident response • 50 UK risk / audit consultants • 90 US technical assurance consultants • Escrow & Software Assurance = sister BUs
- 4. Before we begin… Hopefully not a lesson in sucking eggs
- 5. Things I won’t cover… because Keith did/will •Accreditation •Big data •Cyber security* •Cloud computing •Mobile*
- 6. Why forensics? •What happened •How it happened •Where it happened •Who did it / who didn’t do it •Why it happened*
- 7. Forensic chain of custody requirements •Intention: Court •high •Intention: Not court •low Focus for this talk: not court
- 8. What we see today •Offensive material •Basic data theft •remote internet •internal employee •Hacktivisim •Financial related •Complex nation state threat actors •high value IP theft
- 9. Tech challenge #1: non-tech usability •Triage •Acquisition •Aggregation •Processing •Analysis •Answers
- 10. Tech challenge #2: security •TPM •Crypto •software •hardware •Device protection •passphrase •fingerprint •anti-tamper
- 11. Tech challenge #3: IoT acquisition •CCTV, Watches, TVs, Fridges etc.. •Vehicles •Multi Functional Devices •BMS / EMS .. etc.. … storage removal … storage processing … ability to make sense
- 12. Tech challenge #4: rapid tech evolution •Devices •Operating systems •Apps •Methods of communication •Methods of storage •Internet services
- 13. Tech challenge #4: attribution & intent •Who •Why •Capabilities •Traits (MO)
- 14. Tech challenges: example #1
- 15. Tech challenges: example #2
- 16. Example research: NCC suggested projects • Storage Reduction for Network Captures • High Performance Captured Network Meta Data Analysis • Network Capture Visualization • Automated Net Flow Heuristic Signature Production • Forensic Memory Resident Password Recover • Application Location Services in Data Forensics Investigations
- 17. Future research •Usability of forensics tools •Agility / adaptability in forensics tools •Internet forensics / Open Source Intel •Stitching multiple distinct sources •Detecting use of anti-forensics •Detecting use of offensive-forensics •High-speed forensics
- 18. Future research •Reactive forensic supporting systems •Pro-active forensic supporting design pattterns •systems & apps •Crowd sourcing / gamification applications in forensics •Expert systems (AI) use in forensics •inference engines / knowledge base http://link.springer.com/chapter/10.1007%2F978-3-540-77368-9_31
- 19. Summary •We need to make it •easier to collect & get answers •scalable & efficient •reliable & adaptable •We need to be able to •consume intelligence •produce intelligence •share more
- 20. UK Offices Manchester - Head Office Cheltenham Edinburgh Leatherhead London Milton Keynes North American Offices San Francisco Atlanta New York Seattle Austin Australian Offices Sydney European Offices Amsterdam - Netherlands Munich – Germany Zurich - Switzerland Thanks? Questions? Ollie Whitehouse ollie.whitehouse@nccgroup.com