Paper Info
Title
Evidence identification in IoT networks based on threat assessment.
Abstract
This work focuses on near-future, User-Centric IoT systems used in smart homes. Our goal is to anticipate cyber threats to these systems and suggest points of focus for digital investigators. IoT smart homes have multi-featured, connected devices such as home appliances, monitoring devices and security devices. The envisioned near-future system is more heterogeneous than current systems, and includes advanced ‘decision making’ capabilities to autonomously change network state. In this work, we propose a model of a near-future, User-Centric IoT network, describe its characteristics, including devices, services and dataflows. Using this model network, we outline common use cases, and identify potential concerns for digital investigators working with such a network. We then conduct a threat analysis based on these use cases, outlining cyber–physical risks. Finally, we experiment with a case study of such heterogeneous systems and demonstrate the potential for device exploitation.
Year
DOI
Venue
2019
10.1016/j.future.2017.10.012
Future Generation Computer Systems
Keywords
Field
DocType
IoT smart home,Heterogeneous devices,Characteristics of IoT networks,IoT security,IoT investigation,IoT impersonation,Cyber–physical attacks
Use case,Computer security,Computer science,Internet of Things,Threat assessment,Distributed computing
Journal
Volume
ISSN
Citations 
93
0167-739X
2
PageRank 
References 
Authors
0.41
8
2
Name
Order
Citations
PageRank
Nikolay Akatyev120.41
Joshua James26111.34