Abstract
Internet of Things (IoT) has introduced a revolutionary paradigm that unleashes multitude of functionalities and possibilities. Currently, IoT and its extensive range of applications have become the focal point of numerous research endeavors. While the inherent characteristics of IoT make it highly adaptable to real-world scenarios, they also expose it to potential cybersecurity risks. IoT has experienced an unprecedented number of cyberattacks, which not only affect businesses but also pose potential risks to human lives. Therefore, it is crucial to establish a comprehensive classification of IoT challenges and identify the available countermeasures. In this paper, we conduct an extensive survey on IoT security challenges and countermeasures, and propose a taxonomy to categorize them based on the three data states. Furthermore, we discuss future directions towards IoT data security.
Original language | English |
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Title of host publication | ICFNDS 2023 - 2023 The 7th International Conference on Future Networks and Distributed Systems |
Publisher | Association for Computing Machinery |
Pages | 633-640 |
Number of pages | 8 |
ISBN (Electronic) | 9798400709036 |
DOIs | |
State | Published - 21 Dec 2023 |
Event | 7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023 - Dubai, United Arab Emirates Duration: 21 Dec 2023 → 22 Dec 2023 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023 |
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Country/Territory | United Arab Emirates |
City | Dubai |
Period | 21/12/23 → 22/12/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
Keywords
- Challenges
- Countermeasures
- Data at rest
- Data in transit
- Data in use
- Data Security
- IoT
- Survey
- Taxonomy
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software