ReviewSensors (Basel, Switzerland)2023
A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments.Sensors (Basel, Switzerland) · 2026Article
- Quantum resilient security framework for privacy preserving AI in Apple MM1 on device architecture.Scientific reports · 2025Article
- Phishing detection on webpages in European non-English languages based on machine learning.Scientific reports · 2025Article
- Innovative Technologies to Improve Occupational Safety in Mining and Construction Industries-Part I.Sensors (Basel, Switzerland) · 2025Review
- An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments.Scientific reports · 2025Article
- Interruption-Aware Computation Offloading in the Industrial Internet of Things.Sensors (Basel, Switzerland) · 2025Article
- Optimization of network device hardening in a multivendor environment.Scientific reports · 2025Article
- SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments.Heliyon · 2025Article
- Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach.PloS one · 2025Article
- Unidirectional Communications in Secure IoT Systems-A Survey.Sensors (Basel, Switzerland) · 2024Review
- Article
- Privacy-Centric AI and IoT Solutions for Smart Rural Farm Monitoring and Control.Sensors (Basel, Switzerland) · 2024Article
- Exploring the impact of TGF-β family gene mutations and expression on skin wound healing and tissue repair.International wound journal · 2024Article
- Heuristic machine learning approaches for identifying phishing threats across web and email platforms.Frontiers in artificial intelligence · 2024Article
- DecentralDC: Assessing data contribution under decentralized sharing and exchange blockchain.PloS one · 2024Article
- Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies.Sensors (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The emergence of the Internet of Things (IoT) technology has brought about tremendous possibilities, but at the same time, it has opened up new vulnerabilities and attack vectors that could compromise the confidentiality, integrity, and availability of connected systems. Developing a secure IoT ecosystem is a daunting challenge that requires a systematic and holistic approach to identify and mitigate potential security threats. Cybersecurity research considerations play a critical role in this regard, as they provide the foundation for designing and implementing security measures that can address emerging risks. To achieve a secure IoT ecosystem, scientists and engineers must first define rigorous security specifications that serve as the foundation for developing secure devices, chipsets, and networks. Developing such specifications requires an interdisciplinary approach that involves multiple stakeholders, including cybersecurity experts, network architects, system designers, and domain experts. The primary challenge in IoT security is ensuring the system can defend against both known and unknown attacks. To date, the IoT research community has identified several key security concerns related to the architecture of IoT systems. These concerns include issues related to connectivity, communication, and management protocols. This research paper provides an all-inclusive and lucid review of the current state of anomalies and security concepts related to the IoT. We classify and analyze prevalent security distresses regarding IoT's layered architecture, including connectivity, communication, and management protocols. We establish the foundation of IoT security by examining the current attacks, threats, and cutting-edge solutions. Furthermore, we set security goals that will serve as the benchmark for assessing whether a solution satisfies the specific IoT use cases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.