Digital Forensic Process Model Research Articles

USING BLOCKCHAIN TECHNOLOGY FOR FORENSIC ENGINEERING OF DIGITAL ASSET BUSINESS IN THAILAND

This research article aims to study the use of blockchain technology for forensic engineering in Thai digital asset business. This research uses qualitative research methods based on in-depth interviews with experts related to blockchain technology. Digital asset business and engineering verification is a study based on the digital forensic process model. According to the international standard ISO/IEC 27037 , it consists of 4 components: 1) evidence identification 2) data collection 3) data acquisition 4) integrity of evidence. The study found that the use of blockchain technology increases the efficiency of the digital forensics process, solves problems in the original system andmakes the information and the evidence to be accurate and reliable. Blockchain technology also increases the security of information as Information security management system standards(ISMS) or ISO 27001 has completed all 3 elements: confidentiality, integrity and readiness for use.

Mobile Device’s Digital Forensic Process Model

The primary goal is to compare various digital forensics process models, particularly mobile devices. One must conduct investigations forensically to prosecute digital offenders, with the resulting evidence acknowledged in a court of law. Digital forensic process models outline the necessary procedures that one must follow to ensure a successful enquiry. Keywords: Mobile Devices, Digital Devices, Digital Evidence and Smartphone BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free

Cyber Crime Forensics

Cyber crime is becoming more frequent in our daily life since computers are everywhere now and hence the term cyberspace is becoming our ordinary life. Digital forensics or computer forensics which the process of securing digital evidence against the crime is becoming inevitable. Digital evidence is the foundation for any digital forensic investigation that can be collected by several means using technologies and scientific crime scene investigation. Modifications with crime scene data may possibly change the evidences that may lead to different investigation results. Several models and frameworks to help investigating cybercrimes have been proposed. In this paper we are proposing a frame work that to suit the Sudanese judiciary system. The framework suggested studied several models and frameworks in the globe to come out with a suitable framework model that can help the Sudanese courts taking their decisions concerning cybercrime. The conventional chain of custody is our main platform to construct our framework. That is due to fact that computer crime is different from conventional crime in that it may have no definite place or space. Although The share of people in computer crime is more crucial than the technology itself, achieving evidence integrity is more challenging than normal crimes. This work aims to study and evaluate the applicability of existing digital forensic process models to the Sudanese environment, analyze each of these frameworks might and then construct a framework to Sudan courts.

Digital forensics supported by machine learning for the detection of online sexual predatory chats

Chat-logs are informative digital footprints available on Social Media Platforms (SMPs). With the rise of cybercrimes targeting children, chat-logs can be used to discover and flag harmful behaviour for the attention of law enforcement units. This can make an important contribution to the safety of minors on SMPs from being exploited by online predators. The problem is that digital forensic investigation is mostly manual. Thus, a daunting task for forensic investigators because of the sheer volume and variety of data. The solution that is proposed in this paper employs a Digital Forensic Process Model that is supported by Machine Learning (ML) methods to facilitate the automatic discovery of harmful conversations in chat-logs. ML has already been successfully applied in the domain of text analysis for the discovery of online sexual predatory chats. However, there is an absence of approaches that show how ML can contribute to a digital forensic investigation. Thus, the contribution of this paper is to indicate how the tasks in a digital forensic investigation process can be organised so to obtain useable ML results when investigating online predators.

Mobile Cloud Correlated Digital Forensic Process Model based on UML Design

Mobile Cloud Correlated Digital Forensic Process Model based on UML Design

An ad hoc detailed review of digital forensic investigation process models

For the past decade, digital forensics has been the subject of scientific study, and as a result it has become an established research and application field. One of the foundational methods in which the researchers in the field have attempted to comprehend the scientific basis of this discipline has been to develop models which reflect their observations. Various process models have been developed describing the steps and processes to follow during a digital forensic investigation. This paper provides a detailed review of 11 published papers representing digital forensic process models. The aim of this review is to gain background knowledge of the existing research on the digital forensic investigation process models and the problems associated with those models.

A Review on Mobile Device\'s Digital Forensic Process Models

The main purpose of this study is to discuss the different comparative studies on digital forensics process models specially in the field of mobile devices. In order to legally pursue digital criminals, investigation should be conducted in a forensically sound manner so that the acquired evidence would be accepted in the court of law. Digital forensic process models define the important steps that should be followed to assure the investigation is performed successfully. There are a number of digital forensic process models developed by various organizations worldwide, but yet, there is no agreement among forensics investigation and legislative delegation which procedures to adhere to; specially in the case of facing mobile devices with latest technologies. This is vital, as mobile phones and other mobile devices such as PDAs or tablets are becoming ever-present as the main technology platform around the world and people are obtaining and using mobile phones more than ever. In this study we will give a review of the proposed digital forensics process models within last 7 years and to discuss the need for a consensus to follow the same underlying approaches while continually updating digital forensics process models to cover new emerging technologies and devices.

Integrated digital forensic process model

Digital forensics is an established research and application field. Various process models exist describing the steps and processes to follow during digital forensic investigations. During such investigations, it is not only the digital evidence itself that needs to prevail in a court of law; the process followed and terminology used should also be rigorous and generally accepted within the digital forensic community. Different investigators have been refining their own investigative methods, resulting in a variety of digital forensic process models. This paper proposes a standardized Digital Forensic Process Model to aid investigators in following a uniform approach in digital forensic investigations.