Cybersecurity and cyber forensics for smart cities: A comprehensive literature review and survey

K Kim, IM Alshenaifi, S Ramachandran, J Kim, T Zia… - Sensors, 2023 - mdpi.com
Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial
intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart …

An optimization-based machine learning technique for smart home security using 5G

VK Sharma, SK Mohapatra, S Shitharth… - Computers and …, 2022 - Elsevier
Generally, cellular networks are divided into discrete geographic zones where a secure
routing protocol is important. In this study, Sailfish-based Distributed IP Mobility …

Advancing Location Privacy in Urban Networks: A Hybrid Approach Leveraging Federated Learning and Geospatial Semantics

AK Saxena - International Journal of Information and …, 2023 - publications.dlpress.org
This The proliferation of location-based services (LBS) in urban networks has raised
concerns about user location privacy. This paper introduces a novel framework that …

Machine learning-based automatic litter detection and classification using neural networks in smart cities

M Malik, C Prabha, P Soni, V Arya… - … Journal on Semantic …, 2023 - igi-global.com
Abstract Machine learning and deep learning are one of the most sought-after areas in
computer science which are finding tremendous applications ranging from elementary …

A novel hybrid framework for cloud intrusion detection system using system call sequence analysis

A Chaudhari, B Gohil, UP Rao - Cluster Computing, 2024 - Springer
Cloud Computing offers on-demand infrastructure, platform and software services over the
Internet on a pay-as-you-use model. Many e-commerce businesses and social networking …

Visual crowd analysis: Open research problems

MA Khan, H Menouar, R Hamila - AI Magazine, 2023 - Wiley Online Library
Over the last decade, there has been a remarkable surge in interest in automated crowd
monitoring within the computer vision community. Modern deep‐learning approaches have …

A design and application of municipal service platform based on cloud-edge collaboration for smart cities

J Yang, TY Lee, WT Lee, L Xu - Sensors, 2022 - mdpi.com
Information and Communication Technology (ICT) makes cities “smart”, capable of providing
advanced municipal services to citizens more efficiently. In the literature, many applications …

[HTML][HTML] SCMC: Smart city measurement and control process for data security with data mining algorithms

S Selvarajan, H Manoharan, S Goel, CP Akili… - Measurement …, 2024 - Elsevier
In this paper the importance of monitoring smart city with integration of sensors and Internet
of Things (IoT) is discussed with establishment of node control process. To describe the …

Dickson polynomial-based secure group authentication scheme for Internet of Things

SA Syed, S Manickam, M Uddin, H Alsufyani… - Scientific Reports, 2024 - nature.com
Abstract Internet of Things (IoT) paves the way for the modern smart industrial applications
and cities. Trusted Authority acts as a sole control in monitoring and maintaining the …

Empirical Compression Features of Mobile Computing and Data Applications Using Deep Neural Networks

H Almagrabi, AM Alshareef… - Security and …, 2022 - Wiley Online Library
Due to the enormous data sizes involved in mobile computing and multimedia data transfer,
it is possible that more data traffic may be generated, necessitating the use of data …