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Proceedings ArticleDOI

FIF-IoT: A Forensic Investigation Framework for IoT Using a Public Digital Ledger

TLDR
FIF-IoT presents a framework that ensures integrity, confidentiality, anonymity, and non-repudiation of the evidence stored in the public digital ledger, and provides a mechanism to acquire evidence from the ledger and to verify the integrity of the obtained evidence.
Abstract
The increased deployment of Internet of Things (IoT) devices will make them targets for attacks. IoT devices can also be used as tools for committing crimes. In this regard, we propose FIF-IoT – a forensic investigation framework using a public digital ledger to find facts in criminal incidents in IoT-based systems. FIF-IoT collects interactions that take place among various IoT entities (clouds, users, and IoT devices) as evidence and store them securely as transactions in a public, distributed and decentralized blockchain network which is similar to the Bitcoin network. Hence, FIF-IoT eliminates a single entity's control over the evidence storage, avoids single-point-offailure on the storage media, and ensures high availability of evidence. FIF-IoT presents a framework that ensures integrity, confidentiality, anonymity, and non-repudiation of the evidence stored in the public digital ledger. Furthermore, FIF-IoT provides a mechanism to acquire evidence from the ledger and to verify the integrity of the obtained evidence. We present a case study of a forensic investigation to demonstrate that FIF-IoT is secure against evidence tampering. We also implement a prototype to evaluate the performance of FIF-IoT.

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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

Blockchain for 5G and beyond networks: A state of the art survey

TL;DR: A state-of-art survey on the integration of blockchain with 5G networks and beyond, including discussions on the potential of blockchain for enabling key 5G technologies, including cloud/edge computing, Software Defined Networks, Network Function Virtualization, Network Slicing, and D2D communications.
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

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

TL;DR: An in-depth survey of BCoT applications in different use-case domains such as smart healthcare, smart city, smart transportation and smart industry is provided and some important research challenges and future directions are highlighted to spur further research in this promising area.
Journal ArticleDOI

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

TL;DR: In this paper, the authors present a state-of-the-art review on the BCoT integration to provide general readers with an overview of the integration in various aspects, including background knowledge, motivation, and integrated architecture.
References
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Journal ArticleDOI

The Internet of Things for Health Care: A Comprehensive Survey

TL;DR: An intelligent collaborative security model to minimize security risk is proposed; how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context is discussed; and various IoT and eHealth policies and regulations are addressed to determine how they can facilitate economies and societies in terms of sustainable development.
Proceedings ArticleDOI

Cloud application logging for forensics

Raffael Marty
TL;DR: A logging framework and guidelines that provide a proactive approach to logging to ensure that the data needed for forensic investigations has been generated and collected and helps IT architects and technical evaluators of logging architectures build a business oriented logging framework.
Proceedings ArticleDOI

Internet of Things Forensics: Challenges and approaches

TL;DR: The scope of this paper is two-fold: firstly it proposes the application of a 1-2-3 Zones approach to Internet of Things (IoT)-related Digital Forensics (DF) investigations, and introduces a Next-Best-Thing Triage (NBT) Model for use in conjunction with the 1- 2-3Zones approach where necessary.
Proceedings ArticleDOI

FAIoT: Towards Building a Forensics Aware Eco System for the Internet of Things

TL;DR: A Forensics-aware IoT (FAIoT) model is proposed for supporting reliable forensics investigations in the IoT environment and the first working definition of IoT forensics is proposed.
Journal ArticleDOI

A reliable IoT system for Personal Healthcare Devices

TL;DR: A fault-tolerant algorithm is proposed for the reliable IoT system in which gateways on the same layer in the system are linked to form a daisy chain for fault tolerance at the level, and a gateway stores the backup copy of the previous gateway positioned immediately ahead of the gateway in the da Daisy chain.
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