Design and Research on Intrusion Detection System in the Computer Network Security

2013 ◽  
Vol 416-417 ◽  
pp. 1418-1422
Author(s):  
Yu Tao Sun
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Detection System ◽  
Security Threat ◽  
Network Intrusion ◽  
Detection Technology ◽  
The Status ◽  
Process System

This paper first discusses the information security and network security, security threat, hacker intrusion process, system and network security vulnerabilities, and then introduces the status of intrusion detection system. By the comparison of two kinds of intrusion detection systems, the article puts forward the detection system based on the combination of the soil and the intrusion of network intrusion detection technology. Combined with the actual project development, this article focuses on the key technology design idea and the realization of the intrusion detection system in network security.

scholarly journals Machine Learning Techniques for Network Intrusion Detection System (NIDS): A Survey

2021 ◽  
Vol 9 (12) ◽  
pp. 1477-1483
Keyword(s):  
Machine Learning ◽  
Network Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Detection System ◽  
Vital Role ◽  
Cyber Attacks ◽  
Machine Learning Techniques ◽  
Network Intrusion

In computer network, security of the network is a major issue and intrusion is the most common threats to security. Cyber attacks detection is becoming more enlightened challenge in detecting these threats accurately. In network security, intrusion detection system (IDS) has played a vital role to detect intrusion. In recent years, numerous methods have been proposed for intrusion detection to detect these security threats. This survey paper study examines recent work in the topic of network security, machine learning based techniques as well as a discussion of the many datasets that are commonly used to evaluate IDS. It also explains how researchers employ Machine Learning Based Techniques to detect intrusions

Research on Network Intrusion Detection System

2010 ◽  
Vol 159 ◽  
pp. 77-82
Author(s):  
Jiang Xu ◽  
Zhong Wei Cao
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
Safety Technology ◽  
Network Intrusion Detection System ◽  
Key Technologies ◽  
The Status ◽  
Network Safety

This paper firstly introduces the status of network safety, network safety aim, traditional network safety technology and necessity of network intrusion detection system (NIDS). Secondly, this paper discusses the concepts and definitions of NIDS. Thirdly, this paper analyzes structure and key technologies of NIDS. Finally, introduces an example software of NIDS –snort.

scholarly journals Simulasi Penggunaan Intrusion Detection System (IDS) Sebagai Keamanan Jaringan dan Komputer

2020 ◽  
Vol 4 (2) ◽  
pp. 413
Author(s):  
Barany Fachri ◽  
Fadli Hamdi Harahap
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Detection System ◽  
Original System ◽  
Fast Time ◽  
Security Systems ◽  
Speed Up ◽  
Determine System

In the current era of information technology, computer network security is part of a system that is very important to maintain the validity and integrity of data and to ensure the availability of users' morning services from anywhere and anytime. And on one hand humans are very dependent on information systems. That causes the statistics of network security incidents to increase sharply from year to year. So we need a solution to overcome this, one of which is by simulation. Simulations are carried out to simulate existing real network security systems with properties that are easier to observe than the original system, to determine system performance. In this research, a system that is able to cope with threats that may occur optimally in a fast time is needed, this will speed up the process of handling disruptions and system or service recovery. One way that can be used to overcome or overcome this is to use the Intrusion Detection System (IDS). One application that supports intrusion detection system (IDS) is Snort. Snort is able to do an analysis of the forms of intruder attacks that misuse network protocols

scholarly journals Genetic algorithm for intrusion detection system in computer network

2020 ◽  
Vol 19 (3) ◽  
pp. 1670
Author(s):  
Hamizan Suhaimi ◽  
Saiful Izwan Suliman ◽  
Afdallyna Fathiyah Harun ◽  
Roslina Mohamad ◽  
Yuslinda Wati Mohamad Yusof ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Local Area Network ◽  
Detection System ◽  
Local Area ◽  
Small Scale ◽  
Area Network ◽  
Network Intrusion

<span>Internet connection nowadays has become one of the essential requirements to execute our daily activities effectively. Among the major applications of wide Internet connections is local area network (LAN) which connects all internet-enabled devices in a small-scale area such as office building, computer lab etc. This connection will allow legit user to access the resources of the network anywhere as long as authorization is acquired. However, this might be seen as opportunities for some people to illegally access the network. Hence, the occurrence of network hacking and privacy breach. Therefore, it is very vital for a computer network administrator to install a very protective and effective method to detect any network intrusion and, secondly to protect the network from illegal access that can compromise the security of the resources in the network. These resources include sensitive and confidential information that could jeopardise someone’s life or sovereignty of a country if manipulated by wrong hands.  In Network Intrusion Detection System (NIDS) framework, apart from detecting unauthorized access, it is equally important to recognize the type of intrusions in order for the necessary precautions and preventive measures to take place. This paper presents the application of Genetic Algorithm (GA) and its steps in performing intrusion detection process. Standard benchmark dataset known as KDD’99 cup was utilized with forty-one distinctive features representing the identity of network connections. Results presented demonstrate the effectiveness of the proposed method and warrant good research focus as it promises exciting discovery in solving similar-patent of problems.   </span>

scholarly journals Network intrusion detection system using immune-genetic algorithm (IGA)

2020 ◽  
Vol 17 (2) ◽  
pp. 1059
Author(s):  
Hamizan Suhaimi ◽  
Saiful Izwan Suliman ◽  
Ismail Musirin ◽  
Afdallyna Harun ◽  
Roslina Mohamad ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Detection System ◽  
Personal Information ◽  
Genetic Operators ◽  
Network Systems ◽  
Immune Genetic Algorithm ◽  
Network Intrusion

Network security is an important aspect in maintaining computer network systems and personal information from being illegally accessed by third parties. The major problem that frequently occurs in computer network systems is the failure in detecting possible network-attacks. Apart from that, the process of recognizing the type of attack that occurs is very crucial as it will determine the elimination process that should take place to counter the intrusion. This paper proposes the application of standard Genetic Algorithm (GA) that combines with immune algorithm process to enhance the computer system’s capability in recognizing possible intrusion occurrence in a computer system. Simulation was conducted numerous times to test the effectiveness of the proposed intrusion detection system by manipulating the parameter values for genetic operators utilized in GA. The effectiveness of the proposed method is shown in the gathered results and the analysis conducted further supports and proves that Immune Genetic Algorithm (IGA) has the capability to predict the occurrence of intrusion in computer network.

scholarly journals Early Intrusion Detection System (IDS) using Snort and Telegram approach

SISFORMA ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
Aan Erlansari ◽  
Funny Farady Coastera ◽  
Afief Husamudin
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Computer Networks ◽  
Intrusion Detection System ◽  
Computer Network ◽  
Instant Messaging ◽  
Detection System ◽  
Data Packets ◽  
Log Files ◽  
Pass Through

Computer network security is an important factor that must be considered. Guaranteed security can avoid losses caused by attacks on the network security system. The most common prevention against network attacks is to place an administrator, but problems will arise when the administrator is not supervising the network, so to overcome these problems a system called IDS (Intrusion Detection System) can detect suspicious activity on the network through automating the work functions of an administrator. Snort is one of the software that functions to find out the intrusion. Data packets that pass through network traffic will be analyzed. Data packets detected as intrusion will trigger alerts which are then stored in log files. Thus, administrators can find out intrusions that occur on computer networks, and the existence of instant messaging applications can help administrators to get realtime notifications, one of which is using the Telegram application. The results of this study are,  Snort able to detect intrusion of attacks on computer networks and the system can send alerts from snort to administrators via telegram bot in real-time.

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