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Journal ArticleDOI

The Future of Digital Forensics: Challenges and the Road Ahead

TLDR
The future of digital forensics is explored, with an emphasis on these challenges and the advancements needed to effectively protect modern societies and pursue cybercriminals.
Abstract
Today’s huge volumes of data, heterogeneous information and communication technologies, and borderless cyberinfrastructures create new challenges for security experts and law enforcement agencies investigating cybercrimes. The future of digital forensics is explored, with an emphasis on these challenges and the advancements needed to effectively protect modern societies and pursue cybercriminals.

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Citations
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Journal ArticleDOI

A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

TL;DR: The purpose of this paper is to identify and discuss the main issues involved in the complex process of IoT-based investigations, particularly all legal, privacy and cloud security challenges, as well as some promising cross-cutting data reduction and forensics intelligence techniques.
Journal ArticleDOI

An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security

TL;DR: The threats, security requirements, challenges, and the attack vectors pertinent to IoT networks are reviewed, and a novel paradigm that combines a network-based deployment of IoT architecture through software-defined networking (SDN) is proposed.
Journal ArticleDOI

IoT Forensics: Amazon Echo as a Use Case

TL;DR: An IoT-based forensic model is presented that supports the identification, acquisition, analysis, and presentation of potential artifacts of forensic interest from IoT devices and the underpinning infrastructure and uses the popular Amazon Echo as a use case to demonstrate how the proposed model can be used to guide forensics analysis of IoT devices.
Journal ArticleDOI

A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework

TL;DR: This study proposes a new network forensics framework, called a Particle Deep Framework (PDF), which describes the digital investigation phases for identifying and tracing attack behaviors in IoT networks, and results reveal a high performance of the proposed framework for discovering and tracing cyber-attack events compared with the other techniques.
Journal ArticleDOI

A survey on internet of things security from data perspectives

TL;DR: The paper makes an in-depth analysis of the latest development in IoT security by observing from data perspectives, summarizing open issues and suggesting promising directions for further research and applications of IoT security.
References
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Journal ArticleDOI

Digital forensics research: The next 10 years

TL;DR: Current forensic research directions are summarized and it is argued that to move forward the community needs to adopt standardized, modular approaches for data representation and forensic processing.
Journal ArticleDOI

A survey of emerging threats in cybersecurity

TL;DR: An overview of the most exploited vulnerabilities in existing hardware, software, and network layers is presented and critiques of existing state-of-the-art mitigation techniques as why they do or don't work are described.
Journal ArticleDOI

Cloud forensics definitions and critical criteria for cloud forensic capability: An overview of survey results

TL;DR: The researcher presents the results and analysis of a survey that was widely circulated among digital forensic experts and practitioners internationally on cloud forensics and critical criteria for cloud forensic capability in order to better understand the key fundamental issues of cloud forensic such as its definition, scope, challenges, opportunities and missing capabilities.
Journal ArticleDOI

Next-generation digital forensics

TL;DR: The digital forensics community requires new tools and strategies for the rapid turnaround of large forensic targets.
Proceedings ArticleDOI

Automating Disk Forensic Processing with SleuthKit, XML and Python

TL;DR: A program called |fiwalk| which produces detailedXML describing all of the partitions and files on a hard drive or disk image, as well as any extractable metadata from the document filesthemselves is developed.
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