An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security
Abstract
Internet of Things (IoT) is transforming everyone's life by providing features, such as controlling and monitoring of the connected smart objects. IoT applications range over a broad spectrum of services including smart cities, homes, cars, manufacturing, e-healthcare, smart control system, transportation, wearables, farming, and much more. The adoption of these devices is growing exponentially, that has resulted in generation of a substantial amount of data for processing and analyzing. Thus, besides bringing ease to the human lives, these devices are susceptible to different threats and security challenges, which do not only worry the users for adopting it in sensitive environments, such as e-health, smart home, etc., but also pose hazards for the advancement of IoT in coming days. This article thoroughly reviews the threats, security requirements, challenges, and the attack vectors pertinent to IoT networks. Based on the gap analysis, a novel paradigm that combines a network-based deployment of IoT architecture through software-defined networking (SDN) is proposed. This article presents an overview of the SDN along with a thorough discussion on SDN-based IoT deployment models, i.e., centralized and decentralized. We further elaborated SDN-based IoT security solutions to present a comprehensive overview of the software-defined security (SDSec) technology. Furthermore, based on the literature, core issues are highlighted that are the main hurdles in unifying all IoT stakeholders on one platform and few findings that emphases on a network-based security solution for IoT paradigm. Finally, some future research directions of SDN-based IoT security technologies are discussed.
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The detection mechanisms are similar in all environments (IT, IoT, OT, IIoT), but the concepts of using a dedicated SOC in combination with SIEMs and EDRs are more advanced in an IT environment.
“Based on this research, it can be concluded that the detection mechanisms are similar in all environments, but the concepts of using a dedicated SOC in combination with SIEMs and EDRs are more advanced in an IT environment.”
From Mapping of Industrial IoT to IEC 62443 Standards (2025) · cites this paper as [17]
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Mapping of Industrial IoT to IEC 62443 Standards
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“Downtime can lead to interruptions and operational inefficiencies [17].”
Influential
- Authors
- Iqbal, W., Abbas, H., Daneshmand, M., Rauf, B., & Bangash, Y. A.
- Affiliations
- National University of Sciences and Technology (PK)
- Stevens Institute of Technology (US)
- Venue
- IEEE Internet of Things Journal
- Published
- 2020-10
- Volume
- 7
- Issue
- 10
- Pages
- 10250-10276
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W3030941702
- Cited by
- 356
- References
- 160
- Citations by year
- 2026: 15 · 2025: 55 · 2024: 81 · 2023: 95 · 2022: 64 · 2021: 41 · 2020: 5
- FWCI
- 24.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- Higher Education Commission (HEC), Pakistan, through its initiative of National Center for Cyber Security for the affiliated lab National Cyber Security Auditing and Evaluation Lab (2(1078)/HEC/M&E/2018/707)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- Internet of Things security, software-defined networking, software-defined security, IoT threats, attack vectors, smart home security, e-healthcare security
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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