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Security Threats and Possible Countermeasures in IoT Applications Covering Different Industry Domains

Authors:

Musa G. Samaila,

João B. F. Sequeiros,

Mário M. Freire,

Pedro R. M. InácioAuthors Info & Claims

ARES '18: Proceedings of the 13th International Conference on Availability, Reliability and Security

Article No.: 16, Pages 1 - 9

https://doi.org/10.1145/3230833.3232800

Published: 27 August 2018 Publication History

Abstract

The world is witnessing the emerging role of Internet of Things (IoT) as a technology that is transforming different industries, global community and its economy. Currently a plethora of interconnected smart devices have been deployed for diverse pervasive applications and services, and billions more are expected to be connected to the Internet in the near future. The potential benefits of IoT include improved quality of life, convenience, enhanced energy efficiency, and more productivity. Alongside these potential benefits, however, come increased security risks and potential for abuse. Arguably, this is partly because many IoT start-ups and electronics hobbyists lack security expertise, and some established companies do not make security a priority in their designs, and hence they produce IoT devices that are often ill-equipped in terms of security. In this paper, we discuss different IoT application areas, and identify security threats in IoT architecture. We consider security requirements and present typical security threats for each of the application domains. Finally, we present several possible security countermeasures, and introduce the IoT Hardware Platform Security Advisor (IoT-HarPSecA) framework, which is still under development. IoT-HarPSecA is aimed at facilitating the design and prototyping of secure IoT devices.

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Cited By

Madanian SChinbat TSubasinghage MAirehrour DHassandoust FYongchareon S(2024)Health IoT Threats: Survey of Risks and VulnerabilitiesFuture Internet10.3390/fi1611038916:11(389)Online publication date: 23-Oct-2024
https://doi.org/10.3390/fi16110389
Mahadik SPawar PMuthalagu R(2023)Heterogeneous IoT (HetIoT) security: techniques, challenges and open issuesMultimedia Tools and Applications10.1007/s11042-023-16715-w83:12(35371-35412)Online publication date: 29-Sep-2023
https://doi.org/10.1007/s11042-023-16715-w
Al-Amiedy TAnbar MBelaton BKabla AHasbullah IAlashhab Z(2022)A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of ThingsSensors10.3390/s2209340022:9(3400)Online publication date: 29-Apr-2022
https://doi.org/10.3390/s22093400
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ARES '18: Proceedings of the 13th International Conference on Availability, Reliability and Security

August 2018

603 pages

ISBN:9781450364485

DOI:10.1145/3230833

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Universität Hamburg: Universität Hamburg

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Published: 27 August 2018

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ARES 2018

ARES 2018: International Conference on Availability, Reliability and Security

August 27 - 30, 2018

Hamburg, Germany

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ARES '18 Paper Acceptance Rate 128 of 260 submissions, 49%;

Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Madanian SChinbat TSubasinghage MAirehrour DHassandoust FYongchareon S(2024)Health IoT Threats: Survey of Risks and VulnerabilitiesFuture Internet10.3390/fi1611038916:11(389)Online publication date: 23-Oct-2024
https://doi.org/10.3390/fi16110389
Mahadik SPawar PMuthalagu R(2023)Heterogeneous IoT (HetIoT) security: techniques, challenges and open issuesMultimedia Tools and Applications10.1007/s11042-023-16715-w83:12(35371-35412)Online publication date: 29-Sep-2023
https://doi.org/10.1007/s11042-023-16715-w
Al-Amiedy TAnbar MBelaton BKabla AHasbullah IAlashhab Z(2022)A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of ThingsSensors10.3390/s2209340022:9(3400)Online publication date: 29-Apr-2022
https://doi.org/10.3390/s22093400
Adil MJan MLiu YAbulkasim HFarouk ASong H(2022)A Systematic Survey: Security Threats to UAV-Aided IoT Applications, Taxonomy, Current Challenges and Requirements With Future Research DirectionsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.3220043(1-19)Online publication date: 2022
https://doi.org/10.1109/TITS.2022.3220043
Nguyen TMin DChoi ELee J(2021)Dependability and Security Quantification of an Internet of Medical Things Infrastructure Based on Cloud-Fog-Edge Continuum for Healthcare Monitoring Using Hierarchical ModelsIEEE Internet of Things Journal10.1109/JIOT.2021.30814208:21(15704-15748)Online publication date: 1-Nov-2021
https://doi.org/10.1109/JIOT.2021.3081420
Mishra DSharma K(2021)A Trust-Based Framework to Reduce Message Dissemination Latency Using CFC Model for Internet of VehicleSoft Computing for Problem Solving10.1007/978-981-16-2712-5_38(461-479)Online publication date: 14-Oct-2021
https://doi.org/10.1007/978-981-16-2712-5_38
Samaila MJosé MSequeiros JFreire MInácio P(2019)IoT-HarPSecAProceedings of the 14th International Conference on Availability, Reliability and Security10.1145/3339252.3340514(1-7)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3339252.3340514
Yoon J(2019)Using a Deep-Learning Approach for Smart IoT Network Packet Analysis2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW.2019.00039(291-299)Online publication date: Jun-2019
https://doi.org/10.1109/EuroSPW.2019.00039

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