253

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

FBMT: Fuzzy Based Merkle Technique for

Detecting and Mitigating Malicious Nodes in Sensor

#Wireless Sensor Networks # Intrusion Detection Systems # Fuzzy logic # Merkle tree

Intrusion Detection System using Fuzzy Rough Set Feature Selection and Modified KNN Classifier

Balakrishnan Senthilnayaki1, Krishnan Venkatalakshmi2, and Arpputharaj Kannan1 1Department of Information Science and Technology, College of Engineering, Anna University, Chennai 2Departemnt of Electronics and Communication Engineering, University College of Engineering

#Rough set # fuzzy set # feature selection # classifications and intrusion detection

On Detection and Prevention of Zero-Day Attack

Using Cuckoo Sandbox in Software-Defined

#Zero-day attack # Malwares # Controller # Intrusion Detection System # Cuckoo Sandbox # Software-Defined Networks

Intrusion Detection Model Using Naive Bayes and Deep Learning Technique

Mohammed Tabash, Mohamed Abd Allah, and Bella Tawfik

#Classification # intrusion detection # deep learning # NSL-KDD # genetic algorithm # naïve bayes

Improved Intrusion Detection Algorithm based on TLBO and GA Algorithms

Mohammad Aljanabi,MohdArfian Ismail

#TLBO #feature subset selection #NTLBO #IDS #FSS

An Efficient Intrusion Detection System by Using Behaviour Profiling and Statistical Approach

Model

#IDS # IPS # behaviour profiling algorithm # statistical approach model # NIDS # HIDS

Parallel Scalable Approximate Matching Algorithm for Network Intrusion Detection Systems

Adnan Hnaif1, Khalid Jaber1, Mohammad Alia1, and Mohammed Daghbosheh2 1Faculty of Science and Information Technology, Al Zaytoonah University of Jordan, Jordan 2Faculty of Science and Information Technology, Irbid National University of Jordan, Jordan

#Exact matching algorithms # approximate matching algorithms # parallel processing # network intrusion detection systems

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

Stacknet Based Decision Fusion Classifier for Network Intrusion Detection

Isaac Kofi Nti,Owusu Narko-Boateng,Adebayo Felix Adekoya,Arjun Remadevi Somanathan

#Network intrusion detection #stacknet #ensemble learning classifier

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

Choosing Decision Tree-Based Boundary Patterns in the Intrusion Detection Systems with Large Data Sets

Hamidreza Ghaffari

#Intrusion detection systems #boundary patterns #support vector machine #data reduction

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

An Efficient Ensemble Architecture for Privacy and Security of Electronic Medical Records

Ömer Kasım

#Electronic medical records #sensitive data security #hybrid encryption and decryption #access control

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