253

Preecha Somwang1, 2 and Woraphon Lilakiatsakun2 1Office of Academic Resources and Information Techno logy, Rajamangala University

An Effective Data Warehousing System for RFID Using Novel Data Cleaning, Data Transformation and Loading Techniques

Abstract: Nowadays, the vital parts of the business programs are the data warehouses and the data mining techni ques.

# Data warehousing system # data cleaning # data transf ormation # data loading # dirty data # RFID # suspicious tags

Design and Development of Suginer Filter for Intrusion Detection Using Real Time Network Data

Abstract: By rapid use of the Internet and computer network all over the world makes security a major issues, so using the

#Intrusion detection # wiener filter # artificial neural network # knowledge discovery dataset # network socket layer # defense advanced research projects agency # support vector machine

Intelligent Human Resource Information System (i- HRIS): A Holistic Decision Support Framework for

1Department of Administrative Studies and Politics, University of Malaya, Malaysia 2Department of Applied Statistics, University of Malaya, Malaysia 3Department of Educational Management, Planning and Policy, University of Malaya, Malaysia

#HRIS # KDD # DSS # framework

An Effective Data Warehousing System for RFID Using Novel Data Cleaning, Data Transformation and Loading Techniques

Abstract: Nowadays, the vital parts of the business programs are the data warehouses and the data mining techni ques.

# Data warehousing system # data cleaning # data transf ormation # data loading # dirty data # RFID # suspicious tags

DoS and DDoS Attack Detection Using Deep Learning and IDS

Mohammad Shurman1, Rami Khrais2, and Abdulrahman Yateem1 1Jordan University of Science and Technology, Network Engineering and Security Department, Jordan 2Jordan University of Science and Technology, Computer Engineering Department, Jordan

#Deep learning # DoS # DrDoS # IDS # IoT # LSTM

A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-

Based IIoT Security, Mourade Azrour, Said Benkirane, Mouaad Mohy-Eddine, Hanaa Attou, Maryam Douiba

#IoT security # edge-based IIoT # intrusion detection # ML # K-NN # PCA

The Intrusion Detection System by Deep Learning Methods: Issues and Challenges

Ola Surakhi,Antonio García,Mohammed Jamoos,Mohammad Alkhanafseh

#Artificial intelligence #dataset #deep learning #intrusion detection #machine learning #security

An Efficient Intrusion Detection Framework Based on Embedding Feature Selection and Ensemble Learning Technique

Fawaz Mokbal,Wang Dan,Musa Osman,Yang Ping,Saeed Alsamhi

#Network security #intrusion detection #ensemble learning #xgboost algorithm #features selection

Analyzing the Behavior of Multiple Dimensionality Reduction Algorithms to Obtain Better Accuracy using Benchmark KDD CUP Dataset

Suriya Prakash Jambunathan,Suguna Ramadass,Palanivel Rajan Selva kumaran

#Intrusion attacks #network #features #accuracy