Relevant bibliographies by topics / Digital forensic analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Digital forensic analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Digital forensic analysis"

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Sachdeva, Shaweta, B. L. Raina, and Avinash Sharma. "Analysis of Digital Forensic Tools." Journal of Computational and Theoretical Nanoscience 17, no. 6 (June 1, 2020): 2459–67. http://dx.doi.org/10.1166/jctn.2020.8916.

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This paper aims to analyze different tools for Forensic Data Analysis comes under the branch of Digital Forensics. Forensic data analysis is done with digital techniques. Digital forensics becomes more important in law enforcement, due to the large use of computers and mobile devices. The pattern recognition system most appropriately fits into the Analysis Phase of the Digital Forensics. Pattern Recognition involves two processes. One Process is an analysis and the second process is recognition. The result of the analysis is taken out of the attributes from the patterns to be recognized i.e., a pattern of different faces and fingerprints. These attributes are then utilized for the further process in the analysis phase which provides attention on various techniques of pattern recognition that are applied to digital forensic examinations and is proposed to develop different forensic tools to collect evidence that would be helpful to solve specific types of crimes. This evidence further helps the examiner in the analysis phase of the digital forensic process by identifying the applicable data.
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Sabillon, Regner, Jordi Serra-Ruiz, Victor Cavaller, and Jeimy J. Cano. "Digital Forensic Analysis of Cybercrimes." International Journal of Information Security and Privacy 11, no. 2 (April 2017): 25–37. http://dx.doi.org/10.4018/ijisp.2017040103.

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This paper reviews the existing methodologies and best practices for digital investigations phases like collecting, evaluating and preserving digital forensic evidence and chain of custody of cybercrimes. Cybercriminals are adopting new strategies to launch cyberattacks within modified and ever changing digital ecosystems, this article proposes that digital investigations must continually readapt to tackle cybercrimes and prosecute cybercriminals, working in international collaboration networks, sharing prevention knowledge and lessons learned. The authors also introduce a compact cyber forensics model for diverse technological ecosystems called Cyber Forensics Model in Digital Ecosystems (CFMDE). Transferring the knowledge, international collaboration, best practices and adopting new digital forensic tools, methodologies and techniques will be hereinafter paramount to obtain digital evidence, enforce organizational cybersecurity policies, mitigate security threats, fight anti-forensics practices and indict cybercriminals. The global Digital Forensics community ought to constantly update current practices to deal with cybercriminality and foreseeing how to prepare to new technological environments where change is always constant.
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Jafari, Fakeeha, and Rabail Shafique Satti. "Comparative Analysis of Digital Forensic Models." Journal of Advances in Computer Networks 3, no. 1 (2015): 82–86. http://dx.doi.org/10.7763/jacn.2015.v3.146.

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Hikmatyar, Firmansyah Gustav, and Bambang Sugiantoro. "Digital Forensic Analysis on Android Smartphones for Handling Cybercrime Cases." IJID (International Journal on Informatics for Development) 7, no. 2 (January 7, 2019): 19. http://dx.doi.org/10.14421/ijid.2018.07204.

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As the times progressed, forensic science has developed rapidly. The science of forensics extends to new areas of technology ranging from digital forensics, computer forensics and mobile forensics. Mobile forensics in analyzing and collecting data is obtained from various resources, such as operating systems, communication lines and also various storage media. The most popular mobile operating system of the day is a smartphone based on android operating system. With android technology, criminals can use that technology as a crime medium ranging from overriding crime ideas, crime targets and crime scenarios. In this Final Project use forensic mobile application to get data residing in cell phone actors, in the form of text, sound, picture and video that have or not yet deleted in smartphone. In this study, a model for investigating the crime scene is the author using the Generic Computer Forensic Investigation Model (GCFIM). On the GCFIM model the investigator may be able to return to the previous stage because of the possibility of a changeable situation (both physical and digital), the investigation tools used, the crime tools used, and the level of investigative expertise. In this research also added weighting method of word TF-IDF, where this method can help to find keyword in digital evidence in the form of word / text.
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Faiz, Muhammad Nur, Rusydi Umar, and Anton Yudhana. "Implementasi Live Forensics untuk Perbandingan Browser pada Keamanan Email." JISKA (Jurnal Informatika Sunan Kalijaga) 1, no. 3 (March 30, 2017): 108. http://dx.doi.org/10.14421/jiska.2017.13-02.

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Digital Forensics become one popular term because Currently many violations of cyber crime. Digital techniques Computer Forensics performed or with analyze digital device, whether the device is a media Actors or as a media victim. Digital Forensic Analysis Being divided into two, traditional / dead and alive. Forensic analysis traditionally involves digital data Deposited permanent Operates in Irish, while live forensic analysis involves analysis of data Namely temporary in Random Access Memory or Deposited hearts transport equipment in the Network. Singer proposes journal Forensic analysis of life in the latest operation system windows 10. That study focused IN case several email security browsers Sales Operations manager of Google Chrome, Mozilla Firefox, and Microsoft Internet Explorer Edge. In addition, although many digital forensics type software applications not free, goal on research objectives compares browser security information so it will be more minimize abuse email.
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Mualfah, Desti, and Rizdqi Akbar Ramadhan. "Analisis Forensik Metadata Kamera CCTV Sebagai Alat Bukti Digital." Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 11, no. 2 (November 7, 2020): 257–67. http://dx.doi.org/10.31849/digitalzone.v11i2.5174.

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Kejahatan konvensial yang terekam kamera CCTV (Closed Circuit Televison) semakin banyak ditemukan di masyarakat, setiap pelaku kejahatan yang terbukti melakukan tindak pidana tertentu akan dihukum sesuai dengan peraturan perundang-undangan. Kamera CCTV memiliki peran penting dalam keamanan, banyak diantaranya hasil tangkapan rekaman kamera CCTV dijadikan sebagai alat bukti digital. Tantangannya adalah bagaimana teknik yang diperlukan untuk penanganan khusus investigasi digital forensik dalam mencari bukti ditgital rekaman kamera CCTV menggunakan metode live forensik, yaitu ketika barang bukti dalam keadan aktif berdasarkan pedoman SNI 27037:2014 sesuai acuan kerangka kerja Common Phases of Computer Forensics Investigation Models untuk di implementasikan ke dalam dokumen Chain of Custody. Hasil penelitian ini berupa hasil analisis video rekaman kamera CCTV tentang karakteristik bukti digital dan informasi metadata yang digunakan untuk memberikan penjelasan komprehensif secara terstruktur serta acuan pengelolaan informasi data yang didapat dari hasil investigasi digital forensik yang dapat dipertanggungjawabkan dalam persidangan. Kata kunci: Bukti Digital, Live Forensik, Metadata, Kamera CCTV, Chain of Custody. Abstract Conventional crimes that are recorded on CCTV (Closed Circuit Television) cameras are increasingly being found in society, every crime that commits certain crimes will be in accordance with statutory regulations. CCTV cameras have an important role in security, many of which are recorded by CCTV cameras used as digital evidence. The challenge is how the techniques required for special handling, digital forensics in searching for digital evidence of CCTV camera footage using the live forensic method, namely when the evidence is in an active state based on the latest SNI 27037: 2014 according to the framework reference Common Phases of Computer Forensics Investigation Models for in implement it into the Chain of Custody document. These results of this research are in the form of analysis of CCTV camera video recordings about the characteristics of digital evidence and metadata information used to provide a structured comprehensive explanation and reference data management information obtained from the results of digital forensic investigations that can be accounted for in court. Keywords: Digital Evidence, Live Forensic, Metadata, CCTV Camera, Chain of Custady.
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Dumchykov, M. "THE PROCESSES OF DIGITIZATION AND FORENSICS: A RETROSPECTIVE ANALYSIS." Criminalistics and Forensics, no. 65 (May 18, 2020): 100–108. http://dx.doi.org/10.33994/kndise.2020.65.10.

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The article deals with some aspects of digitalization of forensic activity, such as improving the efficiency of search and cognitive activity of an investigator using digital technologies, and effective organization of such activity. Use of computer hardware, software, various computer and digital technologies and scripting to investigate crimes. The definitions of “digital trace” and “virtual trace” demonstrate the complexity of these issues. Certain dynamic movement of criminal activity in the information environment is analyzed. Defines the concept of virtual trace as a specific trace of certain actions in the information space of computer devices and their network systems. In considering the definition of the concept of virtual trace, the views of scientists such as V.A. Meshcheriakov, V.V. Poliakov and Smushkin A.V. The aspects of consideration of forensic digitization are identified, among which the main ones are: – use of digital technologies to increase the effectiveness of search and cognitive activity of the investigator, effective organization of this activity at the present level, optimization of interaction of different bodies, institutions in the investigation of crimes. – the use of information and communication technologies to investigate crimes. – solving didactic tasks in the field of training, retraining, advanced training of investigators, criminal investigators, forensic experts, improvement of their qualification, exchange of experience. The further question of the development of forensic science in the field of information society is investigated. It is determined in what form the information forensics will exist, namely: A new section of classic forensics that focuses on working with digital and virtual footprints. The new science of “digital or virtual forensics”. 3. Independent forensic science within the framework of the general theory of forensic science, which integrates the development of virtual traces, the use of new technical means of finding, fixing, research, use in proving forensically relevant information, technologies that ensure the effectiveness of the investigator.
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Zuhriyanto, Ikhsan, Anton Yudhana, and Imam Riadi. "Comparative analysis of Forensic Tools on Twitter applications using the DFRWS method." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 5 (October 30, 2020): 829–36. http://dx.doi.org/10.29207/resti.v4i5.2152.

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Current crime is increasing, one of which is the crime of using social media, although no crime does not leave digital evidence. Twitter application is a social media that is widely used by its users. Acts of crime such as fraud, insults, hate speech, and other crimes lately use many social media applications, especially Twitter. This research was conducted to find forensic evidence on the social media Twitter application that is accessed using a smartphone application using the Digital Forensics Research Workshop (DFRWS) method. These digital forensic stages include identification, preservation, collection, examination, analysis, and presentation in finding digital evidence of crime using the MOBILedit Forensic Express software and Belkasoft Evidence Center. Digital evidence sought on smartphones can be found using case scenarios and 16 variables that have been created so that digital proof in the form of smartphone specifications, Twitter accounts, application versions, conversations in the way of messages and status. This study's results indicate that MOBILedit Forensic Express digital forensic software is better with an accuracy rate of 85.75% while Belkasoft Evidence Center is 43.75%.
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Vadlamudi, Divya, Dr K. Thirupathi Rao, Pellakuri Vidyullatha, and B. AjasekharReddy. "Analysis on digital forensics challenges and anti-forensics techniques in cloud computing." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 1072. http://dx.doi.org/10.14419/ijet.v7i2.7.12230.

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In the modern life, there is a rapid increase in the usage of the technology. One reason of increasing the technology is usage of cloud. The mobile devices or any other technological devices mainly depend on cloud. The cloud can be accessible from anywhere. Cloud forensic process had introduced to help the investigators to find the evidence when the criminal attacks the cloud and to maintain the integrity and security for the data stored in the cloud. The increasing in the criminal attacks in cloud, made the investigators to find the latest methods for the forensic investigation process. Similarly in the same way the criminals also discover new ways to hide the source of evidences. This causes damage to the investigation process and is called anti-forensics. To hide the sources anti-forensic techniques are used and research must be done against the anti-forensics techniques in cloud environment. In this paper we focused mainly on detailed study on various challenges in cloud forensic and anti-forensic techniques.
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Lee, Jae-Ung, and Woo-Young Soh. "Comparative analysis on integrated digital forensic tools for digital forensic investigation." IOP Conference Series: Materials Science and Engineering 834 (June 23, 2020): 012034. http://dx.doi.org/10.1088/1757-899x/834/1/012034.

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Dissertations / Theses on the topic "Digital forensic analysis"

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Hales, Gavin. "Assisting digital forensic analysis via exploratory information visualisation." Thesis, Abertay University, 2016. https://rke.abertay.ac.uk/en/studentTheses/774128b9-957e-4a05-aa74-dbeefebb8113.

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Background: Digital forensics is a rapidly expanding field, due to the continuing advances in computer technology and increases in data stage capabilities of devices. However, the tools supporting digital forensics investigations have not kept pace with this evolution, often leaving the investigator to analyse large volumes of textual data and rely heavily on their own intuition and experience. Aim: This research proposes that given the ability of information visualisation to provide an end user with an intuitive way to rapidly analyse large volumes of complex data, such approached could be applied to digital forensics datasets. Such methods will be investigated; supported by a review of literature regarding the use of such techniques in other fields. The hypothesis of this research body is that by utilising exploratory information visualisation techniques in the form of a tool to support digital forensic investigations, gains in investigative effectiveness can be realised. Method:To test the hypothesis, this research examines three different case studies which look at different forms of information visualisation and their implementation with a digital forensic dataset. Two of these case studies take the form of prototype tools developed by the researcher, and one case study utilises a tool created by a third party research group. A pilot study by the researcher is conducted on these cases, with the strengths and weaknesses of each being drawn into the next case study. The culmination of these case studies is a prototype tool which was developed to resemble a timeline visualisation of the user behaviour on a device. This tool was subjected to an experiment involving a class of university digital forensics students who were given a number of questions about a synthetic digital forensic dataset. Approximately half were given the prototype tool, named Insight, to use, and the others given a common open-source tool. The assessed metrics included: how long the participants took to complete all tasks, how accurate their answers to the tasks were, and how easy the participants found the tasks to complete. They were also asked for their feedback at multiple points throughout the task. Results:The results showed that there was a statistically significant increase in accuracy for one of the six tasks for the participants using the Insight prototype tool. Participants also found completing two of the six tasks significantly easier when using the prototype tool. There were no statistically significant different difference between the completion times of both participant groups. There were no statistically significant differences in the accuracy of participant answers for five of the six tasks. Conclusions: The results from this body of research show that there is evidence to suggest that there is the potential for gains in investigative effectiveness when information visualisation techniques are applied to a digital forensic dataset. Specifically, in some scenarios, the investigator can draw conclusions which are more accurate than those drawn when using primarily textual tools. There is also evidence so suggest that the investigators found these conclusions to be reached significantly more easily when using a tool with a visual format. None of the scenarios led to the investigators being at a significant disadvantage in terms of accuracy or usability when using the prototype visual tool over the textual tool. It is noted that this research did not show that the use of information visualisation techniques leads to any statistically significant difference in the time taken to complete a digital forensics investigation.
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Nelson, Alexander J. "Software signature derivation from sequential digital forensic analysis." Thesis, University of California, Santa Cruz, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10140317.

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Hierarchical storage system namespaces are notorious for their immense size, which is a significant hindrance for any computer inspection. File systems for computers start with tens of thousands of files, and the Registries of Windows computers start with hundreds of thousands of cells. An analysis of a storage system, whether for digital forensics or locating old data, depends on being able to reduce the namespaces down to the features of interest. Typically, having such large volumes to analyze is seen as a challenge to identifying relevant content. However, if the origins of files can be identified—particularly dividing between software and human origins—large counts of files become a boon to profiling how a computer has been used. It becomes possible to identify software that has influenced the computer's state, which gives an important overview of storage system contents not available to date.

In this work, I apply document search to observed changes in a class of forensic artifact, cell names of the Windows Registry, to identify effects of software on storage systems. Using the search model, a system's Registry becomes a query for matching software signatures. To derive signatures, file system differential analysis is extended from between two storage system states to many sequences of states. The workflow that creates these signatures is an example of analytics on data lineage, from branching data histories. The signatures independently indicate past presence or usage of software, based on consistent creation of measurably distinct artifacts. A signature search engine is demonstrated against a machine with a selected set of applications installed and executed. The optimal search engine according to that machine is then turned against a separate corpus of machines with a set of present applications identified by several non-Registry forensic artifact sources, including the file systems, memory, and network captures. The signature search engine corroborates those findings, using only the Windows Registry.

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Ovens, Kenneth Martin. "Digital forensic analysis of communication applications on Apple iOS devices." Thesis, Glasgow Caledonian University, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.743916.

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Naru, Amar Singh. "Digital image analysis of the human bite mark." Thesis, University of Hertfordshire, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338566.

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Necaise, Nathan Joseph. "Empirical analysis of disk sector prefixes for digital forensics." Master's thesis, Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-03282007-151218.

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Lidström, Robbin, and Elfving Elfving. "An exploratory forensic analysis of the Xbox One S All Digital." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42511.

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Gaming consoles’ relevance to the field of digital forensics has steadily been growing sincetheir presence in society has increased. Given how gaming platforms, such as the Xbox One,are produced for commercial interest, they are likely to be secured by use of proprietaryknowledge to safeguard personal data. The means by which information is secured isunknown, thus displaying the need for investigations to determine what information can beextracted from hard drive disk images and whether any of it is personally identifiable data.Furthermore, predecessors to the Xbox One were successfully modified by users, allowingunsigned code to be run; however, this is currently not possible on the Xbox One. In addition,due to the generational aspect of game consoles, proper digital forensic methodology needs tobe developed specifically adapted to the Xbox One. An exploratory approach was pursued toallow for the scope to remain dynamic, letting information found to point to additionalavenues of investigation and research. No personally identifiable information was found, yetthe analysis of selected files allowed for hypotheses concerning their intended purpose.Through file analysis, encryption was found to be in use on the console. Moreover, theMaster File Table was demonstrated as a significant extension to the foundation of consoleforensics methodology. Lastly, it was established that the Xbox One successfully prevents therunning of unsigned code, showing a significant improvement compared to its predecessors.
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Chabot, Yoan. "Construction, enrichment and semantic analysis of timelines : application to digital forensics." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS037/document.

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Obtenir une vision précise des évènements survenus durant un incident est un objectif difficile à atteindre lors d'enquêtes de criminalistique informatique. Le problème de la reconstruction d'évènements, ayant pour objectif la construction et la compréhension d'une chronologie décrivant un incident, est l'une des étapes les plus importantes du processus d'investigation. La caractérisation et la compréhension complète d'un incident nécessite d'une part d'associer à chaque fragment d'information sa signification passée, puis d'établir des liens sémantiques entre ces fragments. Ces tâches nécessitent l'exploration de grands volumes de données hétérogènes trouvés dans la scène de crime. Face à ces masses d'informations, les enquêteurs rencontrent des problèmes de surcharge cognitive les amenant à commettre des erreurs ou à omettre des informations pouvant avoir une forte valeur ajoutée pour les progrès de l'enquête. De plus, tout résultat produit au terme de la reconstruction d'évènements doit respecter un certain nombre de critères afin de pouvoir être utilisé lors du procès. Les enquêteurs doivent notamment être en capacité d'expliquer les résultats produits. Afin d'aider les enquêteurs face à ces problèmes, cette thèse introduit l'approche SADFC. L'objectif principal de cette approche est de fournir aux enquêteurs des outils les aidant à restituer la sémantique des entités composant la scène de crime et à comprendre les relations liant ces entités tout en respectant les contraintes juridiques. Pour atteindre cet objectif, SADFC est composé de deux éléments. Tout d'abord, SADFC s'appuie sur des fondations théoriques garantissant la crédibilité des résultats produits par les outils via une définition formelle et rigoureuse des processus utilisés. Cette approche propose ensuite une architecture centrée sur une ontologie pour modéliser les connaissances inhérentes à la scène de crime et assister l'enquêteur dans l'analyse de ces connaissances. La pertinence et l'efficacité de ces outils sont démontrées au travers d'une étude relatant un cas d'investigation fictive
Having a clear view of events that occurred over time is a difficult objective to achieve in digital investigations (DI). Event reconstruction, which allows investigators to build and to understand the timeline of an incident, is one of the most important steps of a DI process. The complete understanding of an incident and its circumstances requires on the one hand to associate each piece of information to its meaning, and on the other hand to identify semantic relationships between these fragments. This complex task requires the exploration of a large and heterogeneous amount of information found on the crime scene. Therefore, investigators encounter cognitive overload problems when processing this data, causing them to make mistakes or omit information that could have a high added value for the progress of the investigation. In addition, any result produced by the reconstruction process must meet several legal requirements to be admissible at trial, including the ability to explain how the results were produced. To help the investigators to deal with these problems, this thesis introduces a semantic-based approach called SADFC. The main objective of this approach is to provide investigators with tools to help them find the meaning of the entities composing the crime scene and understand the relationships linking these entities, while respecting the legal requirements. To achieve this goal, SADFC is composed of two elements. First, SADFC is based on theoretical foundations, ensuring the credibility of the results produced by the tools via a formal and rigorous definition of the processes used. This approach then proposes an architecture centered on an ontology to model and structure the knowledge inherent to an incident and to assist the investigator in the analysis of this knowledge. The relevance and the effectiveness of this architecture are demonstrated through a case study describing a fictitious investigation
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Wang, Mengmeng, and 王萌萌. "Temporal analysis on HFS+ and across file systems in digital forensic investigation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50900122.

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In computer forensics, digital evidence related to time is both important and complex. The rules of changes in time associated with digital evidence, such as files or folders, can be used to analyze certain user behaviors like data access, modification or transfer. However, the format and the rules in time information for user actions are quite different for different file systems, even for different versions of operating systems with the same file system. Some research on temporal analysis has already been done on NTFS and FAT file systems, while there are few resources that describe temporal analysis on the Hierarchical File System Plus (HFS+), the default file system in Apple computer. Moreover, removable devices like USB disks are used frequently; transferring files and folders between different devices with different file systems and operating systems happens more and more frequently, so the changes of times across different file systems are also crucial in digital forensics and investigations. In this research, the changes in time attributes of files and folders resulting from user actions on the HFS+ file system and across file systems are analyzed, and the rules of time are generated by inductive reasoning to help reconstruct crime scenes in the digital forensic investigation. Since inductive reasoning is not definitely true compared with deductive reasoning, experiments are performed to validate the rules. The usage of the rules is demonstrated by analyzing a case in details. The methods proposed here are efficient, practical and easy to put into practice in real scenarios.
published_or_final_version
Computer Science
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Master of Philosophy
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Shakir, Amer, Muhammad Hammad, and Muhammad Kamran. "Comparative Analysis & Study of Android/iOS MobileForensics Tools." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44797.

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This report aims to draw a comparison between two commercial mobile forensics and recovery tools, Magnet AXIOM and MOBILedit. A thorough look at previously done studies was helpful to know what aspects of the data extractions must be compared and which areas are the most important ones to focus upon. This work focuses on how the data extracted from one tool compares with another and provides comprehensive extraction based on different scenarios, circumstances, and aspects. Performances of both tools are compared based on various benchmarks and criteria. This study has helped establish that MOBILedit has been able to outperform Magnet AXIOM on more data extraction and recovery aspects. It is a comparatively better tool to get your hands on.
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Thompson, Marcus A. "An exploratory forensic acquisition and analysis of digital evidence on the Amazon Kindle." Thesis, Purdue University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1565358.

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The Amazon Kindle is becoming a popular e-book reader. This popularity will lead criminals to use the Kindle as an accessory to their crime. Very few Kindle publications in the digital forensics domain exist at the time of this writing. Various blogs on the Internet currently provide some of the foundation for Kindle forensics. For this research each fifth generation Kindle was populated with various types of files a typical user may introduce using one method, the USB interface. The Kindle was forensically imaged with AccessData's Forensic Toolkit Imager before and after each Kindle was populated. Each file was deleted through the USB interface. Files were retrieved and recovered through the USB interface before and after file deletion. These two sets of files were compared to the original set of files. All files retrieved before deletion matched their original counterpart. Not all files recovered after deletion matched their original counterpart. These steps and procedures followed a similar methodology developed by Leshney (2008) for virtual machines.

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Books on the topic "Digital forensic analysis"

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Windows registry forensics: Advanced digital forensic analysis of the Windows registry. Burlington, MA: Syngress, 2011.

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Bennett, Matthew R., and Marcin Budka. Digital Technology for Forensic Footwear Analysis and Vertebrate Ichnology. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93689-5.

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Michael, Bowers C., ed. Digital analysis of bite mark evidence: Using Adobe Photoshop. Santa Barbara, Calif: Forensic Imaging Services, 2000.

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International Workshop on Digital Forensics and Incident Analysis (2nd 2007 Karlovassi, Samos, Greece). Digital forensics and incident analysis: Second International annual Workshop on Digital Forensics and Incident Analysis : proceedings : WDFIA 2007 : 27-28 August, 2007, Karlovassi, Samos, Greece. Los Alamitos, Calif: IEEE Computer Society, 2007.

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International, Workshop on Digital Forensics and Incident Analysis (3rd 2008 Malaga Spain). Proceedings: Third International Annual Workshop on Digital Forensics and Incident Analysis, WDFIA 2008 : Malaga, Spain, 9 October 2008. Los Alamitos, Calif: CPS, Conference Pub. Services, 2008.

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International Workshop on Digital Forensics and Incident Analysis (3rd 2008 Malaga, Spain). Proceedings: Third International Annual Workshop on Digital Forensics and Incident Analysis, WDFIA 2008 : Malaga, Spain, 9 October 2008. Los Alamitos, Calif: CPS, Conference Pub. Services, 2008.

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Kirschenbaum, Matthew G. Mechanisms: New media and the forensic imagination. Cambridge, Mass: MIT Press, 2007.

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Katie, Strzempka, ed. iPhone and iOS forensics: Investigation, analysis, and mobile security for Apple iPhone, iPad, and iOS devices. Waltham, MA: Syngress, 2011.

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SCOTT, Phil. Digital Forensic Analysis of Smart Watches. Independently Published, 2020.

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Forensic Analysis of Digital Image Tampering. Storming Media, 2004.

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Book chapters on the topic "Digital forensic analysis"

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Conrad, Scott, Greg Dorn, and Philip Craiger. "Forensic Analysis of Plug Computers." In Advances in Digital Forensics VII, 275–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24212-0_21.

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Bennett, Matthew R., and Marcin Budka. "Forensic Applications." In Digital Technology for Forensic Footwear Analysis and Vertebrate Ichnology, 137–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93689-5_5.

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Adderley, Nikolai, and Gilbert Peterson. "Interactive Temporal Digital Forensic Event Analysis." In Advances in Digital Forensics XVI, 39–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56223-6_3.

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Quick, Darren, and Kim-Kwang Raymond Choo. "Quick Analysis of Digital Forensic Data." In SpringerBriefs on Cyber Security Systems and Networks, 5–28. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0263-3_2.

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Olajide, Funminiyi, Tawfik Al-Hadrami, and Anne James-Taylor. "Digital Investigation and Forensic User Analysis." In Advances in Intelligent Systems and Computing, 630–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99007-1_59.

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Liu, Changwei, Anoop Singhal, and Duminda Wijesekera. "Identifying Evidence for Cloud Forensic Analysis." In Advances in Digital Forensics XIII, 111–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67208-3_7.

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Chen, Wenhao, Yangxiao Wang, Yong Guan, Jennifer Newman, Li Lin, and Stephanie Reinders. "Forensic Analysis of Android Steganography Apps." In Advances in Digital Forensics XIV, 293–312. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99277-8_16.

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Dalrymple, Brian E., and E. Jill Smith. "The ApproachDeveloping Enhancement Strategies for Images Intended for Analysis." In Forensic Digital Image Processing, 193–204. Boca Raton, FL : CRC Press, [2018]: CRC Press, 2018. http://dx.doi.org/10.4324/9781351112239-7.

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Yang, Ying, Kam-Pui Chow, Lucas Hui, Chunxiao Wang, Lijuan Chen, Zhenya Chen, and Jenny Chen. "Forensic Analysis of Popular Chinese Internet Applications." In Advances in Digital Forensics VI, 285–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15506-2_20.

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Conrad, Scott, Greg Dorn, and Philip Craiger. "Forensic Analysis of a PlayStation 3 Console." In Advances in Digital Forensics VI, 65–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15506-2_5.

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Conference papers on the topic "Digital forensic analysis"

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Singh, Kumar Shanu, Annie Irfan, and Neelam Dayal. "Cyber Forensics and Comparative Analysis of Digital Forensic Investigation Frameworks." In 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019. http://dx.doi.org/10.1109/iscon47742.2019.9036214.

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Gupta, Ankita, Shilpi Gupta, and Anu Mehra. "Video authentication in digital forensic." In 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE). IEEE, 2015. http://dx.doi.org/10.1109/ablaze.2015.7154945.

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Tchan, Jack. "Forensic analysis of print using digital image analysis." In Electronic Imaging 2003, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2003. http://dx.doi.org/10.1117/12.477372.

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Peisert, Sean, Matt Bishop, Sidney Karin, and Keith Marzullo. "Toward Models for Forensic Analysis." In Second International Workshop on Systematic Approaches to Digital Forensic Engineering (SADFE'07). IEEE, 2007. http://dx.doi.org/10.1109/sadfe.2007.23.

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Tjoa, Steven, W. Sabrina Lin, H. Vicky Zhao, and K. J. Ray Liu. "Block Size Forensic Analysis in Digital Images." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.365987.

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Hoss, Allyson M., and Doris L. Carver. "Weaving ontologies to support digital forensic analysis." In 2009 IEEE International Conference on Intelligence and Security Informatics. IEEE, 2009. http://dx.doi.org/10.1109/isi.2009.5137303.

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Adebayo, Ojeniyi Joseph, Idris Suleiman, Abdulmalik Yunusa Ade, S. O. Ganiyu, and I. O. Alabi. "Digital Forensic analysis for enhancing information security." In 2015 International Conference on Cyberspace (CYBER-Abuja). IEEE, 2015. http://dx.doi.org/10.1109/cyber-abuja.2015.7360517.

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Nazir, Tahira, Aun Irtaza, Ali Javed, Hafiz Malik, Awais Mehmood, and Marriam Nawaz. "Digital Image Forensic Analysis using Hybrid Features." In 2021 International Conference on Artificial Intelligence (ICAI). IEEE, 2021. http://dx.doi.org/10.1109/icai52203.2021.9445228.

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Geddes, Mary, and Pooneh Bagheri Zadeh. "Forensic analysis of private browsing." In 2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security). IEEE, 2016. http://dx.doi.org/10.1109/cybersecpods.2016.7502341.

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Iqbal, A., F. Mahmood, and M. Ekstedt. "An Experimental Forensic Testbed: Attack-based Digital Forensic Analysis of WAMPAC Applications." In Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1917.

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Reports on the topic "Digital forensic analysis"

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Nic Daeid, Niamh, Heather Doran, Lucina Hackman, and Pauline Mack. The Curse of the Burial Dagger Teacher Materials. University of Dundee, September 2021. http://dx.doi.org/10.20933/100001220.

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Abstract:
The Curse of the Burial Dagger is an interactive graphic novel murder mystery, created by the Leverhulme Research Centre for Forensic Science and digital story studio Fast Familiar. Players use maths, logic and critical reasoning skills to assist Susie uncover different types of forensic evidence and weigh up contrasting hypotheses. Can they uncover the events leading up to Lord Hamilton’s death and deduce how he died…before the curse strikes again? These documents are the Teacher/Group lead pack which contain additional resources including: • The Teacher/Group Lead Pack – Teacher walk through – Factsheet – What is Forensic Science? – Factsheet – What is a hypothesis? – Marzipan Calculation – Factsheet and activity – Fingerprint Analysis – Activity – Chromatography investigation • Printable completion certificate • Printable Note paper and fact-sheet
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