FBMT: Fuzzy Based Merkle Technique for

Detecting and Mitigating Malicious Nodes in Sensor

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

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

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 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