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Articles 121 - 150 of 808
Full-Text Articles in Information Security
Ontologies And The Semantic Web For Digital Investigation Tool Selection, Hayden Wimmer, Lei Chen, Thomas Narock
Ontologies And The Semantic Web For Digital Investigation Tool Selection, Hayden Wimmer, Lei Chen, Thomas Narock
Journal of Digital Forensics, Security and Law
The nascent field of digital forensics is heavily influenced by practice. Much digital forensics research involves the use, evaluation, and categorization of the multitude of tools available to researchers and practitioners. As technology evolves at an increasingly rapid pace, the digital forensics field must constantly adapt by creating and evaluating new tools and techniques to perform forensic analysis on many disparate systems such as desktops, notebook computers, mobile devices, cloud, and personal wearable sensor devices, among many others. While researchers have attempted to use ontologies to classify the digital forensics domain on various dimensions, no ontology of digital forensic tools …
A Forensic Enabled Data Provenance Model For Public Cloud, Shariful Haque, Travis Atkison
A Forensic Enabled Data Provenance Model For Public Cloud, Shariful Haque, Travis Atkison
Journal of Digital Forensics, Security and Law
Cloud computing is a newly emerging technology where storage, computation and services are extensively shared among a large number of users through virtualization and distributed computing. This technology makes the process of detecting the physical location or ownership of a particular piece of data even more complicated. As a result, improvements in data provenance techniques became necessary. Provenance refers to the record describing the origin and other historical information about a piece of data. An advanced data provenance system will give forensic investigators a transparent idea about the data's lineage, and help to resolve disputes over controversial pieces of data …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Publication Information
Journal of Digital Forensics, Security and Law
No abstract provided.
Contents, Adfsl
Contents, Adfsl
Annual ADFSL Conference on Digital Forensics, Security and Law
No abstract provided.
Front Matter, Adfsl
Front Matter, Adfsl
Annual ADFSL Conference on Digital Forensics, Security and Law
No abstract provided.
A Survey Of Lawyers’ Cyber Security Practises In Western Australia, Craig Valli, Mike Johnstone, Rochelle Fleming
A Survey Of Lawyers’ Cyber Security Practises In Western Australia, Craig Valli, Mike Johnstone, Rochelle Fleming
Annual ADFSL Conference on Digital Forensics, Security and Law
This paper reports on the results of a survey that is the initial phase of an action research project being conducted with the Law Society of Western Australia. The online survey forms a baseline for the expression of a targeted training regime aimed at improving the cyber security awareness and posture of the membership of the Society. The full complement of over 3000 members were given the opportunity to participate in the survey, with 122 members responding in this initial round. The survey was designed to elicit responses about information technology use and the awareness of good practices with respect …
Analysis Of Data Erasure Capability On Sshd Drives For Data Recovery, Andrew Blyth
Analysis Of Data Erasure Capability On Sshd Drives For Data Recovery, Andrew Blyth
Annual ADFSL Conference on Digital Forensics, Security and Law
Data Protection and Computer Forensics/Anti-Forensics has now become a critical area of concern for organizations. A key element to this is how data is sanitized at end of life. In this paper we explore Hybrid Solid State Hybrid Drives (SSHD) and the impact that various Computer Forensics and Data Recovery techniques have when performing data erasure upon a SSHD.
Knowledge Expiration In Security Awareness Training, Tianjian Zhang
Knowledge Expiration In Security Awareness Training, Tianjian Zhang
Annual ADFSL Conference on Digital Forensics, Security and Law
No abstract provided.
Positive Identification Of Lsb Image Steganography Using Cover Image Comparisons, Michael Pelosi, Nimesh Poudel, Pratap Lamichhane, Devon Lam, Gary Kessler, Joshua Macmonagle
Positive Identification Of Lsb Image Steganography Using Cover Image Comparisons, Michael Pelosi, Nimesh Poudel, Pratap Lamichhane, Devon Lam, Gary Kessler, Joshua Macmonagle
Annual ADFSL Conference on Digital Forensics, Security and Law
In this paper we introduce a new software concept specifically designed to allow the digital forensics professional to clearly identify and attribute instances of LSB image steganography by using the original cover image in side-by-side comparison with a suspected steganographic payload image. The “CounterSteg” software allows detailed analysis and comparison of both the original cover image and any modified image, using sophisticated bit- and color-channel visual depiction graphics. In certain cases, the steganographic software used for message transmission can be identified by the forensic analysis of LSB and other changes in the payload image. The paper demonstrates usage and typical …
Exploring The Use Of Graph Databases To Catalog Artifacts For Client Forensics, Rose Shumba
Exploring The Use Of Graph Databases To Catalog Artifacts For Client Forensics, Rose Shumba
Annual ADFSL Conference on Digital Forensics, Security and Law
Cloud computing has revolutionized the methods by which digital data is stored, processed, and transmitted. It is providing users with data storage and processing services, enabling access to resources through multiple devices. Although organizations continue to embrace the advantages of flexibility and scalability offered by cloud computing, insider threats are becoming a serious concern as cited by security researchers. Insiders can use authorized access to steal sensitive information, calling for the need for an investigation. This concept paper describes research in progress towards developing a Neo4j graph database tool to enhance client forensics. The tool, with a Python interface, allows …
Non-Use Of A Mobile Phone During Conducting Crime Can Also Be Evidential, Vinod Polpaya Bhattathiripad Ph D
Non-Use Of A Mobile Phone During Conducting Crime Can Also Be Evidential, Vinod Polpaya Bhattathiripad Ph D
Annual ADFSL Conference on Digital Forensics, Security and Law
Cyber-clever criminals who are aware of the consequence of using mobile phones during conducting crimes often stay away from their phones while involved in crimes. Some of them even change their handset and SIM card, subsequently. This article looks into how, intentional disassociation (and even unintentional non-use) of mobile phone in (non-cyber) crimes, can become evidential clues of the perpetrators’ involvement in criminal acts. With the help of a recent judicial episode, this article reveals how extremely careful and masterful handling of extensive and voluminous Call Details Records and tower dumps by a cyber-savvy investigating official can unearth evidential clues …
Live Gpu Forensics: The Process Of Recovering Video Frames From Nvidia Gpu, Yazeed M. Albabtain, Baijian Yang
Live Gpu Forensics: The Process Of Recovering Video Frames From Nvidia Gpu, Yazeed M. Albabtain, Baijian Yang
Annual ADFSL Conference on Digital Forensics, Security and Law
The purpose of this research is to apply a graphics processing unit (GPU) forensics method to recover video artifacts from NVIDIA GPU. The tested video specs are 512 x 512 in resolution for video 1 and 800 x 600 in resolution for video 2. Both videos are mpeg4 video codec. A VLC player was used in the experiment. A special program has been developed using OpenCL to recover 1) patterns that are frames consist of pixel values and 2) dump data from the GPU global memory. The dump data that represent the video frame were located using simple steps. The …
Unmanned Aerial Vehicle Forensic Investigation Process: Dji Phantom 3 Drone As A Case Study, Alan Roder, Kim-Kwang Raymond Choo, Nhien-A Le-Khac
Unmanned Aerial Vehicle Forensic Investigation Process: Dji Phantom 3 Drone As A Case Study, Alan Roder, Kim-Kwang Raymond Choo, Nhien-A Le-Khac
Annual ADFSL Conference on Digital Forensics, Security and Law
Drones (also known as Unmanned Aerial Vehicles – UAVs) are a potential source of evidence in a digital investigation, partly due to their increasing popularity in our society. However, existing UAV/drone forensics generally rely on conventional digital forensic investigation guidelines such as those of ACPO and NIST, which may not be entirely fit-for-purpose. In this paper, we identify the challenges associated with UAV/drone forensics. We then explore and evaluate existing forensic guidelines, in terms of their effectiveness for UAV/drone forensic investigations. Next, we present our set of guidelines for UAV/drone investigations. Finally, we demonstrate how the proposed guidelines can be …
Detection And Recovery Of Anti-Forensic (Vault) Applications On Android Devices, Michaila Duncan, Umit Karabiyik
Detection And Recovery Of Anti-Forensic (Vault) Applications On Android Devices, Michaila Duncan, Umit Karabiyik
Annual ADFSL Conference on Digital Forensics, Security and Law
Significant number of mobile device users currently employ anti-forensics applications, also known as vault or locker applications, on their mobile devices in order to hide files such as photos. Because of this, investigators are required to spend a large portion of their time manually looking at the applications installed on the device. Currently, there is no automated method of detecting these anti-forensics applications on an Android device. This work presents the creation and testing of a vault application detection system to be used on Android devices. The main goal of this work is twofold: (i) Detecting and reporting the presence …
Hierarchical Bloom Filter Trees For Approximate Matching, David Lillis, Frank Breitinger, Mark Scanlon
Hierarchical Bloom Filter Trees For Approximate Matching, David Lillis, Frank Breitinger, Mark Scanlon
Journal of Digital Forensics, Security and Law
Bytewise approximate matching algorithms have in recent years shown significant promise in detecting files that are similar at the byte level. This is very useful for digital forensic investigators, who are regularly faced with the problem of searching through a seized device for pertinent data. A common scenario is where an investigator is in possession of a collection of "known-illegal" files (e.g. a collection of child abuse material) and wishes to find whether copies of these are stored on the seized device. Approximate matching addresses shortcomings in traditional hashing, which can only find identical files, by also being able to …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Testing Memory Forensics Tools For The Macintosh Os X Operating System, Charles B. Leopard, Neil C. Rowe, Michael R. Mccarrin
Testing Memory Forensics Tools For The Macintosh Os X Operating System, Charles B. Leopard, Neil C. Rowe, Michael R. Mccarrin
Journal of Digital Forensics, Security and Law
Memory acquisition is essential to defeat anti-forensic operating-system features and investigate cyberattacks that leave little or no evidence in secondary storage. The forensic community has developed tools to acquire physical memory from Apple’s Macintosh computers, but they have not much been tested. This work tested three major OS X memory-acquisition tools. Although the tools could capture system memory accurately, the open-source tool OSXPmem appeared advantageous in size, reliability, and support for memory configurations and versions of the OS X operating system.
Subscription Information
Journal of Digital Forensics, Security and Law
No abstract provided.
Drone Forensic Analysis Using Open Source Tools, M A Hannan Bin Azhar, Thomas Edward Allen Barton, Tasmina Islam
Drone Forensic Analysis Using Open Source Tools, M A Hannan Bin Azhar, Thomas Edward Allen Barton, Tasmina Islam
Journal of Digital Forensics, Security and Law
Carrying capabilities of drones and their easy accessibility to public have led to an increase in crimes committed using drones in recent years. For this reason, the need for forensic analysis of drones captured from the crime scenes and the devices used for these drones is also paramount. This paper presents the extraction and identification of important artefacts from the recorded flight data as well as the associated mobile devices using open source tools and some basic scripts developed to aid the analysis of two popular drone systems- the DJI Phantom 3 Professional and Parrot AR. Drone 2.0. Although different …