FAIXID: A Framework for Enhancing AI Explainability of Intrusion Detection Results Using Data Cleaning Techniques

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Hong Liu ◽  
Chen Zhong ◽  
Awny Alnusair ◽  
Sheikh Rabiul Islam
Keyword(s):  
Intrusion Detection ◽  
Data Cleaning ◽  
Using Data

An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques

2017 ◽  
Vol 11 (2) ◽  
pp. 427-438 ◽  
Author(s):  
Fang-Yie Leu ◽  
Kun-Lin Tsai ◽  
Yi-Ting Hsiao ◽  
Chao-Tung Yang
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Protection System ◽  
Using Data

Intrusion Detection Using Data Fusion and Machine Learning

2018 ◽  
Author(s):  
Jridi Mohamed Hechmi ◽  
Hacen Khlaifi ◽  
Amine Bouatay ◽  
Amira Zrelli ◽  
Tahar Ezzedine
Keyword(s):  
Machine Learning ◽  
Intrusion Detection ◽  
Data Fusion ◽  
Using Data

Classification of Intrusion Detection Using Data Mining Techniques

2018 ◽  
pp. 753-764 ◽  
Author(s):  
Roma Sahani ◽  
Shatabdinalini ◽  
Chinmayee Rout ◽  
J. Chandrakanta Badajena ◽  
Ajay Kumar Jena ◽  
...  
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Data Mining Techniques ◽  
Using Data

Characterizing Intelligent Intrusion Detection and Prevention Systems Using Data Mining

2014 ◽  
pp. 89-102
Author(s):  
Mrutyunjaya Panda ◽  
Manas Ranjan Patra
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Computer Networks ◽  
Time Data ◽  
Security Risks ◽  
Security Systems ◽  
Online Data ◽  
Audit Data ◽  
Using Data ◽  
Intrusion Detection And Prevention

Intrusion Detection and Prevention Systems (IDPS) are being widely implemented to prevent suspicious threats in computer networks. Intrusion detection and prevention systems are security systems that are used to detect and prevent security threats to computer networks. In order to understand the security risks and IDPS, in this chapter, the authors make a quick review on classification of the IDPSs and categorize them in certain groups. Further, in order to improve accuracy and security, data mining techniques have been used to analyze audit data and extract features that can distinguish normal activities from intrusions. Experiments have been conducted for building efficient intrusion detection and prevention systems by combining online detection and offline data mining. During online data examination, real-time data are captured and are passed through a detection engine that uses a set of rules and parameters for analysis. During offline data mining, necessary knowledge is extracted about the process of intrusion.

Enhancing Recall Using Data Cleaning for Biomedical Big Data

2020 ◽  
Author(s):  
Priya Deshpande ◽  
Alexander Rasin ◽  
Roselyne Tchoua ◽  
Jacob Furst ◽  
Daniela Raicu ◽  
...  
Keyword(s):  
Big Data ◽  
Data Cleaning ◽  
Using Data

Intrusion Detection in Smart Grid Using Data Mining Techniques

2018 ◽  
Author(s):  
Abdulhamit Subasi ◽  
Khloud Al-Marwani ◽  
Reem Alghamdi ◽  
Aisha Kwairanga ◽  
Saeed M. Qaisar ◽  
...  
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Smart Grid ◽  
Data Mining Techniques ◽  
Using Data
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