volume-15-Issue 2 (2021)

Latest Articles

An Effective and Efficient Framework for Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Cloud Data

JUSPN, volume-15, Issue 2 (2021) , PP 43 - 53

Published: 24 Dec 2021

DOI: 10.5383/JUSPN.15.02.006

by Alfredo Cuzzocrea, Carson Leung, S. Sourav, Bryan H. Wodi from iDEA Lab, University of Calabria, Rende, Italy & LORIA, Nancy, France - Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

Abstract: Cloud providers offer storage as a service to the data owners to store emails and files on the cloud server. However, sensitive data should be encrypt read more...

Keywords: Big Data, Big Data Privacy, Big Data Security, Encryption, Privacy-Preserving Keyword Search, PrivacyPreserving Information Retrieval

Unbounded Spatial Data Stream Query Processing using Spatial Semijoins

JUSPN, volume-15, Issue 2 (2021) , PP 33 - 41

Published: 24 Dec 2021

DOI: 10.5383/JUSPN.03.02.005

by Wendy Osborn from Department of Mathematics and Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada, T1K 3M4

Abstract: In this paper, the problem of query processing in spatial data streams is explored, with a focus on the spatial join operation. Although the spatial j read more...

Keywords: spatial data streams, stream query processing, spatial join, performance

Towards smart manufacturing: Implementation and benefits

JUSPN, volume-15, Issue 2 (2021) , PP 25 - 31

Published: 21 Dec 2021

DOI: 10.5383/JUSPN.15.02.004

by Karim Haricha, Azeddine Khiat, Yassine Issaoui, Ayoub Bahnasse, Hassan Ouajji from Lab SSDIA, University Hassan II of Casablanca, Morocco, ENSAM Casablanca, University Hassan II of Casablanca, Morocco

Abstract: Production activities is generating a large amount of data in different types (i.e., text, images), that is not well exploited. This data can be trans read more...

Keywords: Smart Manufacturing (SM), Industry 4.0, Internet Of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL).


JUSPN, volume-15, Issue 2 (2021) , PP 19 - 24

Published: 19 Dec 2021

DOI: 10.5383/JUSPN.15.02.003

by Vishv Patel, Devansh Shah, Nishant Doshi from Pandit Deendayal Energy University, Gandhinagar, India, Gujarat-382426

Abstract: The large deployment of the Internet of Things (IoT) is empowering Smart City tasks and activities everywhere throughout the world. Items utilized in read more...

Keywords: Internet of Things (IoT), Smart Cities, IoT Devices and Sensors, Technologies of Smart Cities, Applications of Smart Cities

Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence

JUSPN, volume-15, Issue 2 (2021) , PP 11 - 17

Published: 15 Dec 2021

DOI: 10.5383/JUSPN.15.02.002

by Meryem Elmoulat, Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Pierre Manneback, Frédéric Lebeau from University Mohammed V, Faculty of Sciences, Research Unit GeoRisk: Geological Risks, Battouta Avenue, Rabat, Morocco, 10140, University of Mons, Faculty of Engineering - ILIA/Infortech, Place du Parc 20, Mons, Belgium, 7000, University of Liège - GxABT, TERRA, Passage des déportés 2, Gembloux, Belgium, 5030, University of Liège - GxABT, BioDynE, Gembloux, Belgium, 5030

Abstract: Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibil read more...

Keywords: Landslides Susceptibility, IoT, Artificial Intelligence, Early Warning System, Landslides Monitoring, Edge AI, Edge IoT

AI’S Contribution to Ubiquitous Systems and Pervasive Networks Security – Reinforcement Learning vs Recurrent Networks

JUSPN, volume-15, Issue 2 (2021) , PP 01 - 09

Published: 12 Dec 2021

DOI: 10.5383/JUSPN.15.02.001

by Christophe Feltus from Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, L-4362

Abstract: Reinforcement learning and recurrent networks are two emerging machine-learning paradigms. The first learns the best actions an agent needs to perform read more...

Keywords: Artificial Intelligence, Reinforcement Learning, Recurrent Networks, RNN, GRU, LSTM, RL, Security, Network Security, Malware Detection, Literature Review, Machine learning, Intrusion Detection, State of the Art.