Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

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

# IDS # network security # PCA # SFAM

An Innovative Two-Stage Fuzzy kNN-DST

1

#

An Intelligent CRF Based Feature Selection for

1

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A Cross-Layer Based Intrusion Detection Technique for Wireless Networks

Abstract: In this paper, we propose to design a cross-layer b ased intrusion detection technique for wireless networks. In this

# Intrusion detection # wireless networks # RSS # cross layer # RTS-CTS handshake # TT

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

A Cross-Layer Based Intrusion Detection Technique for Wireless Networks

Abstract: In this paper, we propose to design a cross-layer b ased intrusion detection technique for wireless networks. In this

# Intrusion detection # wireless networks # RSS # cross layer # RTS-CTS handshake # TT

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

Ensemble Voting based Intrusion Detection Technique using Negative Selection Algorithm

Kuldeep Singh,Lakhwinder Kaur,Raman Maini

#Artificial immune system #security #negative selection algorithm #anomaly detection

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