[HTML][HTML] Securing cloud-enabled smart cities by detecting intrusion using spark-based stacking ensemble of machine learning algorithms

MR Ghazi, NS Raghava - Electronic Research Archive, 2024 - aimspress.com
With the use of cloud computing, which provides the infrastructure necessary for the efficient
delivery of smart city services to every citizen over the internet, intelligent systems may be …

A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications

VY Anbalagan, S Rajasekaran, TD Rajeeve - New Generation Computing, 2023 - Springer
Problem Smart cities have become the mainstream of urbanization with the advancement of
the internet of things (IoT). Utilizing the Internet, smart devices are permitted by the IoT …

[PDF][PDF] Developing a Framework for Data Communication in a Wireless Network using Machine Learning Technique

SKM Ataelmanan, MAH Ali - International Journal of …, 2021 - pdfs.semanticscholar.org
The emergence of Internet of Things (IoT) has become a huge innovation for utilizing the
enormous power of wireless media. The adaptation of smart devices, with intelligent …

Predictive Analytics in Cardiovascular Health: Leveraging Deep Learning Algorithms for Early Cardiac Disease Identification

S Muneer, H Raza - International Journal of Computational and Innovative …, 2023 - ijcis.com
Cardiac diseases have remained a major issue in today's era, if diagnosed at some early
stages, not only human lives be saved at the initial level of disease, a proactive approach …

AI-Based Security Protocols for IoT Applications: A Critical Review

H Chadha, S Gupta, A Khanna… - Recent Advances in …, 2023 - ingentaconnect.com
The Internet Of Things (IoT) is a network of heterogeneous nodes that exchange data and
critical information amongst themselves with minimum human intervention. The utility of this …

Online Machine Learning-based Anomaly Detection in Internet of Things Applications

MM Rashid, F Sabrina, T Imam, B Ray… - 2023 IEEE Asia …, 2023 - ieeexplore.ieee.org
With the ever-increasing usage of Internet of Things (IoT) applications in every aspect of our
lives, protecting IoT networks from security threats has become a significant challenge …

Artificial Intelligence Based Techniques for Anomaly Detection in IoT: A Comparative Analysis

N Manchanda, G Kaur, S Chauhan… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The IoT is a rapidly developing technology that has the potential to transform our way of life
in a variety of areas like health, education, home, transportation, etc. Security and anomaly …

Safeguarding Web Environments Through Supervised Learning-Based Cross-Site Scripting Detection

A Sharma, H Babbar - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Cross-site scripting (XSS) attacks have emerged as an important issue in the Internet of
Things (IoT) ecosystem as a result of the expansion of IoT devices. The use of machine …

Methods of anomaly detection for the prevention and detection of cyber attacks

N Girubagari, TN Ravi - International Journal of Intelligent …, 2023 - inderscienceonline.com
The idea of the'smart city'has developed in response to the issues brought on by the rapid
growth in urbanisation and population. Smart cities are interconnected. IoT and big data …

Integrating Machine Learning and Deep Learning Approaches for Efficient Malware Detection in IoT-Based Smart Cities

SH Bangash, D Khan, A Ishtiaq, M Imad, M Tahir… - Journal of Computing & …, 2023 - jcbi.org
Smart cities have gained popularity because they promise to address some of the biggest
challenges facing urban areas today, such as: traffic congestion, air pollution, energy …