Research and design of NVT plug-in module-based network security detection system

2015 ◽  
pp. 7-12
Author(s):  
Hong Cai ◽  
Liu Deng ◽  
Ting Xue ◽  
Xi Yu
Keyword(s):  
Network Security ◽  
Detection System ◽  
Research And Design

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 Perancangan Security Network Intrusion Prevention System Pada PDTI Universitas Islam Raden Rahmat Malang

2021 ◽  
Vol 5 (1) ◽  
pp. 60-69
Author(s):  
Farid Wahyudi ◽  
◽  
Listanto Tri Utomo ◽  
Keyword(s):  
Network Security ◽  
Computer Security ◽  
Detection System ◽  
Local Network ◽  
Science System ◽  
Intrusion Prevention ◽  
Data Packets ◽  
Network Intrusion ◽  
Prevention System ◽  
Intrusion Prevention System

Security is very main in computer networks, where many devices are connected to each other to interact and exchange data without limits. Network security is also a very important issue to prioritize, one of which is to use an intrusion prevention system. At PDTI UNIRA there are often network security problems, one of which is that during the test season, the server experiences many intrusion problems. The purpose of this research is to develop a social science system based on the analysis at PDTI of Raden Rahmat Islamic University Malang. This research method uses a computer security development approach, namely the Intrusion Prevention System (IPS), by combining firewall engineering methods and Intrusion-Detection System (IDS). The result of this research is a technology that can be used to prevent attacks that will enter the local network checking and recording all data packets and recognizing sensor packets, when the attack has been identified, IPS will deny access (block) and record (log) all data packets. identified. So IPS acts as a firewall that will allow and block combined with IDS that can detect packets in detail. With a network security system, the Unira PDTI server is safer and can avoid intrusion.

Research and Design on Fluorescence Signal Detection System

2012 ◽  
Vol 7 (21) ◽  
pp. 426-434
Author(s):  
Shi Lijuan ◽  
An Zhiyong ◽  
Wang Lirong ◽  
Zhao Jian
Keyword(s):  
Signal Detection ◽  
Detection System ◽  
Fluorescence Signal ◽  
Research And Design

Network security defense model based on firewall and IPS

2020 ◽  
Vol 39 (6) ◽  
pp. 8961-8969
Author(s):  
Shijie Ding ◽  
Zhiwei Zhang ◽  
Jun Xie
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Detection System ◽  
Reference Value ◽  
Attack Behavior ◽  
Validity And Reliability ◽  
Characteristic Analysis ◽  
Technical Requirements ◽  
Defense Model ◽  
The Government

With the spread of the COVID-19 epidemic, the government has put forward higher requirements for network security and reliability through the flow of network managers and the release of information. Traditional intrusion detection technology and firewall technology cannot effectively defend against DDoS attacks. This paper analyzes the principles and defects of intrusion detection system and firewall. In this paper, the architecture design of intrusion prevention system which integrates audit and network defense functions is proposed. The system optimizes the detection and analysis component of detecting attack behavior according to the special requirements of attack defense task, and adds the module of attack behavior characteristic analysis and defense strategy generation. The policy execution component uses a special defense engine to execute defense policies, providing the system with deep defense capabilities. Experiments show that the validity and reliability of the key modules in the proposed defense model meet the technical requirements. It has a certain reference value to improve the reliability of network management system under the influence of COVID-19 epidemic situation.

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