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Digital forensics

About: Digital forensics is a research topic. Over the lifetime, 4270 publications have been published within this topic receiving 49676 citations. The topic is also known as: digital forensic science & Digital forensics.


Papers
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Proceedings ArticleDOI
23 Feb 2015
TL;DR: This paper explores the development of digital forensic framework, combine the advantages of past twenty five forensic models and generate a algorithm to create a new digital forensic model applicable to any type of digital crime investigation.
Abstract: Cyber crime investigation is the integration of two technologies named theoretical methodology and second practical tools. First is the theoretical digital forensic methodology that encompasses the steps to investigate the cyber crime. And second technology is the practically development of the digital forensic tool which sequentially and systematically analyze digital devices to extract the evidence to prove the crime. This paper explores the development of digital forensic framework, combine the advantages of past twenty five forensic models and generate a algorithm to create a new digital forensic model. The proposed model provides the following advantages, a standardized method for investigation, the theory of model can be directly convert into tool, a history lookup facility, cost and time minimization, applicable to any type of digital crime investigation.

16 citations

Book ChapterDOI
27 Nov 2019
TL;DR: This paper defines a digital forensic methodology for analyzing drone data, and proposes a self organizing map (SOM)-based method for aiding such analysis, and highlights the individual capabilities of several digital forensic tools based on experiments conducted on drone data.
Abstract: Drones or unmanned aerial vehicles (UAVs) have been rapidly adopted for a range of applications over the past decade. Considering their capabilities of information acquisition and surveillance for intelligence, and increasing access to the common public, have led to a rise in the threat associated with cyber crime associated with drones, in recent times. In order to mitigate the threats and to prevent cyber-crime, digital forensics on drone data is both critical as well as lacking in terms of efficacy studies. In this paper, we define a digital forensic methodology for analyzing drone data, and we propose a self organizing map (SOM)-based method for aiding such analysis. Experiments were conducted on two images obtained from the CFReDS project, namely, ArduPilot DIY Drone and DJI Phantom 4, with the purpose of producing admissible digital forensic evidence for the court of law, as part of a cyber-crime investigation. We also highlight the individual capabilities of several digital forensic tools based on experiments conducted on drone data.

16 citations

Journal ArticleDOI
TL;DR: It will be shown that text mining methods can be adapted and applied to digital forensics to aid analysts to more quickly, efficiently and accurately analyse data to reveal truly useful information.

16 citations

Journal ArticleDOI
TL;DR: This paper proposes a distributed architecture by taking advantage of Content Delivery Network to improve scalability and proposes CDN-based Resource-Aware Scheduling (CRAS) algorithm, which schedules the tasks efficiently in the DFSP according to resource parameters, such as delay and computation load.
Abstract: The increasing transmission of illegal videos over the Internet imposes the needs to develop large-scale digital video forensics systems for prosecuting and deterring digital crimes in the Internet. In this paper, we propose, design, and implement a novel large-scale Digital Forensics Service Platform (DFSP) that can effectively detect illegal content from Internet videos. More specifically, we propose a distributed architecture by taking advantage of Content Delivery Network (CDN) to improve scalability, which can process enormous number of Internet videos in real time. We propose CDN-based Resource-Aware Scheduling (CRAS) algorithm, which schedules the tasks efficiently in the DFSP according to resource parameters, such as delay and computation load. We deploy the DFSP system in the Internet, which integrates the CDN-based distributed architecture and CRAS algorithm with a large-scale video detection algorithm, and evaluate the deployed system. Our evaluation results demonstrate the effectiveness of the platform.

16 citations

Proceedings ArticleDOI
12 Dec 2013
TL;DR: This paper presents a systematic process for email forensics which it integrates into the normal forensic analysis workflow, and which accommodates the distinct characteristics of email evidence.
Abstract: The digital forensics community has neglected email forensics as a process, despite the fact that email remains an important tool in the commission of crime. At present, there exists little support for discovering, acquiring, and analyzing web-based email, despite its widespread use. In this paper we present a systematic process for email forensics which we integrate into the normal forensic analysis workflow, and which accommodates the distinct characteristics of email evidence. Our process focuses on detecting the presence of non-obvious artifacts related to email accounts, retrieving the data from the service provider, and representing email in a well-structured format based on existing standards. As a result, developers and organizations can collaboratively create and use analysis tools that can analyze email evidence from any source in the same fashion and the examiner can access additional data relevant to their forensic cases.

16 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20243
2023205
2022552
2021267
2020339
2019343