ArticleSensors (Basel, Switzerland)2021
Internet of Things: Evolution, Concerns and Security Challenges.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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
14 citing papers in PubMed.
- Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors.Sensors (Basel, Switzerland) · 2025Article
- DC-NFC: A Custom Deep Learning Framework for Security and Privacy in NFC-Enabled IoT.Sensors (Basel, Switzerland) · 2025Article
- Securing IoT Networks Against DDoS Attacks: A Hybrid Deep Learning Approach.Sensors (Basel, Switzerland) · 2025Article
- Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection-Current Research Trends.Sensors (Basel, Switzerland) · 2024Review
- Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques.PeerJ. Computer science · 2024Article
- Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning.Sensors (Basel, Switzerland) · 2022Review
- Internet of Things and healthcare system: A systematic review of ethical issues.Health science reports · 2022Article
- Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions.Sensors (Basel, Switzerland) · 2022Review
- A Universal Testbed for IoT Wireless Technologies: Abstracting Latency, Error Rate and Stability from the IoT Protocol and Hardware Platform.Sensors (Basel, Switzerland) · 2022Article
- Smart and Future Applications of Internet of Multimedia Things (IoMT) Using Big Data Analytics.Sensors (Basel, Switzerland) · 2022Article
- Improved Multimedia Object Processing for the Internet of Vehicles.Sensors (Basel, Switzerland) · 2022Article
- An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications: Applications, Challenges, and Solutions.Sensors (Basel, Switzerland) · 2022Article
- Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist.Computational intelligence and neuroscience · 2022Article
- Pretreatment Computed Tomography-Based Machine Learning Models to Predict Outcomes in Hepatocellular Carcinoma Patients who Received Combined Treatment of Trans-Arterial Chemoembolization and Tyrosine Kinase Inhibitor.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our lives. The deployment of a large number of objects adhered to the internet has unlocked the vision of the smart world around us, thereby paving a road towards automation and humongous data generation and collection. This automation and continuous explosion of personal and professional information to the digital world provides a potent ground to the adversaries to perform numerous cyber-attacks, thus making security in IoT a sizeable concern. Hence, timely detection and prevention of such threats are pre-requisites to prevent serious consequences. The survey conducted provides a brief insight into the technology with prime attention towards the various attacks and anomalies and their detection based on the intelligent intrusion detection system (IDS). The comprehensive look-over presented in this paper provides an in-depth analysis and assessment of diverse machine learning and deep learning-based network intrusion detection system (NIDS). Additionally, a case study of healthcare in IoT is presented. The study depicts the architecture, security, and privacy issues and application of learning paradigms in this sector. The research assessment is finally concluded by listing the results derived from the literature. Additionally, the paper discusses numerous research challenges to allow further rectifications in the approaches to deal with unusual complications.
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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.