A New Fast and High Performance Intrusion Detection System

2013 ◽  
Vol 7 (5) ◽  
pp. 67-80 ◽  
Author(s):  
Ahmed Ahmim ◽  
Nacira Ghoualmi-Zine
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
High Performance ◽  
Detection System

scholarly journals Intrusion Detection Based on Big Data Fuzzy Analytics

2021 ◽  
Author(s):  
Farah Jemili ◽  
Hajer Bouras
Keyword(s):  
Big Data ◽  
Network Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
High Performance ◽  
Detection System ◽  
Training Dataset ◽  
False Alarms ◽  
Massive Datasets ◽  
Detection Rates

In today’s world, Intrusion Detection System (IDS) is one of the significant tools used to the improvement of network security, by detecting attacks or abnormal data accesses. Most of existing IDS have many disadvantages such as high false alarm rates and low detection rates. For the IDS, dealing with distributed and massive data constitutes a challenge. Besides, dealing with imprecise data is another challenge. This paper proposes an Intrusion Detection System based on big data fuzzy analytics; Fuzzy C-Means (FCM) method is used to cluster and classify the pre-processed training dataset. The CTU-13 and the UNSW-NB15 are used as distributed and massive datasets to prove the feasibility of the method. The proposed system shows high performance in terms of accuracy, precision, detection rates, and false alarms.

scholarly journals High Performance Network Intrusion Detection System

2019 ◽  
Vol 9 (2) ◽  
pp. 3749-3753
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
High Performance ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Single Issue ◽  
Multiple Resources ◽  
Malicious Activity ◽  
Network Intrusion ◽  
Aes Encryption Algorithm

In this paper, we present intrusion detection system for finding the variant types of attacks in the network. It is the way to enhance the functionality in the network by reducing the chances of risks. ICMP protocol and AES encryption algorithm are used to report the error messages and manage the information being sent from source to destination. If there is any malicious activity occurred in the network, the user will be alerted of it by specifying them the type of malicious activity. As a result it reduces the chances of intrusions and contacting multiple resources for resolving single issue.

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