The Use of Artificial Intelligence for the Intrusion Detection System in Computer Networks

2018 ◽  
pp. 302-312
Author(s):  
Santiago Yip Ortuño ◽  
José Alberto Hernández Aguilar ◽  
Blanca Taboada ◽  
Carlos Alberto Ochoa Ortiz ◽  
Miguel Pérez Ramírez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intrusion Detection ◽  
Computer Networks ◽  
Intrusion Detection System ◽  
Detection System

Implementasi Iptables Firewall dan Intrusion Detection System Untuk Mencegah Serangan DDoS Pada Linux Server

2021 ◽  
pp. 19-23
Author(s):  
Theodorus Kristian Widianto ◽  
Wiwin Sulistyo
Keyword(s):  
Intrusion Detection ◽  
Computer Networks ◽  
Intrusion Detection System ◽  
Detection System ◽  
Ddos Attacks ◽  
Server Side ◽  
Ddos Attack ◽  
Internet Users ◽  
Data Theft ◽  
Server Computer

Security on computer networks is currently a matter that must be considered especially for internet users because many risks must be borne if this is negligent of attention. Data theft, system destruction, and so on are threats to users, especially on the server-side. DDoS is a method of attack that is quite popular and is often used to bring down servers. This method runs by consuming resources on the server computer so that it can no longer serve requests from the user side. With this problem, security is needed to prevent the DDoS attack, one of which is using iptables that has been provided by Linux. Implementing iptables can prevent or stop external DDoS attacks aimed at the server.

scholarly journals An analytical survey on the role of machine learning algorithms in case of intrusion detection

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Handling Mechanism ◽  
The Impact

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.

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