A Machine Learning approach for anomaly detection on the Internet of Things based on Locality-Sensitive Hashing

ML Hernandez-Jaimes, A Martinez-Cruz… - Integration, 2024 - Elsevier
The increasing connectivity of devices on the Internet of Things (IoT) has created a favorable
field for attacks. Consequently, current anomaly-based intrusion detection systems (AIDS) …

Smart Community: The new integration of information technology and community governance-Based on the knowledge graph analysis of foreign academic papers

L Ma, Y Li, H Yan, X Yuan, M Sun - IEEE Access, 2024 - ieeexplore.ieee.org
With the rapid development of information technology (IT), especially after the wide
application of 5G and Internet of Things (IoT) technologies, community management has …

Res2Net-ERNN: deep learning based cyberattack classification in software defined network

M Maddu, YN Rao - Cluster Computing, 2024 - Springer
Software-defined networking (SDN) is known for its enhanced network programmability and
adaptability, but maintaining strong safety precautions to protect against emerging cyber …

Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features

Z Ul Abideen, X Sun, C Sun - Journal of Forecasting - Wiley Online Library
The challenges in citywide traffic flow are intricate, encompassing various factors like
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …

BSA-SGRU-A Novel Deep Learning Framework for Alleviate the Multiple Attacks in IoT-Cloud Environment

PJ Kumar, N Subbu - Journal of Computational and …, 2022 - ojs.bonviewpress.com
Abstract The Internet of Things (IoT) has emanated as an innovative technology that grants
users to establish connections to external servers located in the cloud and the uninterrupted …