Redundancy Management and Host Intrusion Detection in WSN

2020 ◽  
pp. 153-167 ◽  
Author(s):  
Vijander Singh ◽  
Ramesh C. Poonia ◽  
Linesh Raja ◽  
Gourav Sharma ◽  
Narendra Kumar Trivedi ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Access Point ◽  
Brute Force ◽  
Software Application ◽  
Redundancy Management ◽  
Different Types ◽  
Network Event

Intrusion detection system (IDS) is a software application that gives the facility to monitor the traffic of network, event, or activities on networks and finds if any malicious operation occurs. Hackers use different types of attacks to capture the information and use brute force attacks to match the authenticated key with the key, which the hacker has in its stable. When there is a match, the hacker gets the authenticated key through which he can connect with the hotspot or AP. IDS finds invalid or any other misbehavior in the system. The protocol will take care of it; protocol checks the MAC address of the device which wishes to connect with the hotspot or AP, and if any device repeatedly enters a wrong password, the protocol will gives a pop up on the administrator system. The objective of this chapter is to provide information about the protocol that behaves like IDS and is pre-implemented in the routers, which gives the alert to the administrator if any intruder tries to connect with the hotspot or AP (access point) with the rapid wrong key.

scholarly journals Teler Real-time HTTP Intrusion Detection at Website with Nginx Web Server

2021 ◽  
Vol 5 (3) ◽  
pp. 327
Author(s):  
Agus Tedyyana ◽  
Osman Ghazali
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Intrusion Detection System ◽  
Crime Rate ◽  
Detection System ◽  
Web Server ◽  
The Internet ◽  
Brute Force ◽  
Web Servers ◽  
Web Based

Web servers and web-based applications are now widely used, but in this case, the crime rate in cyberspace has also increased. Crime in cyberspace can occur due to the exploitation of how a system works. For example, the way HTTP works are exploited to weaken the webserver. Various tools for attacking the internet are also starting to be easy to find, but so are the tools to detect these attacks. One of the useful tools for detecting attacks and sending warnings against threats is based on the weblogs on the webserver. Many have not reviewed Teler as an intrusion detection system on HTTP on web servers because the existing tools are relatively new. Teler detecting the weblog and run on the terminal with rule resources collected from the community. So here, the researcher tries to implement the use of Teler in detecting HTTP intrusions on a Nginx-based web server. Intrusion is carried out in attacks commonly used by attackers, for example, port scanning and directory brute force using the Nmap and OWASP ZAP tools. Then the detection results will be sent via the Telegram bot to the server admin. From the results of the experiments conducted, it has been found that Teler is still classified as being able to send warning notifications with a delay between the time of detection and the time when the alert is received, no more than 3 seconds.

scholarly journals Trust based Intrusion Detection System Architecture for WSN

2020 ◽  
Vol 8 (6) ◽  
pp. 700-703
Keyword(s):  
New Species ◽  
Wireless Communication ◽  
Intrusion Detection ◽  
Significant Role ◽  
System Architecture ◽  
Intrusion Detection System ◽  
Detection System ◽  
Research Paper ◽  
Software Application ◽  
Security Scheme

Today there are extraordinary attacks on all kind of networks. Security for Payload is considered one of the biggest agenda for all kind of organizations. To deal with new species if attacks like threat, which are blended in nature, no security platform can take guarantee for their intrusion protection. Among all security platforms, intrusion detection system (IDS) are being used to do the inspection of all the packets or data being transferred between two nodes, A software application , that is responsible doing the monitoring of any kind of unwanted or to monitor the activity which is malicious in nature. This research acquaints about handling unknown attacks through Intrusion Detection System. For improving security in wireless communication, Intrusion Detection System (IDS) plays significant role, which includes information about network and security scheme. Hence, this research paper focused on development of appropriate system architecture for IDS system

scholarly journals Entropy based Intrusion Detection System in Hybrid Cloud

2019 ◽  
Vol 8 (3) ◽  
pp. 5686-5691
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Denial Of Service ◽  
Hybrid Cloud ◽  
Software Application ◽  
Entropy Estimation ◽  
Course Of Action ◽  
Principle Objective

The principle objective of Denial-of-Service (DoS) assaults is to restrain or much more terrible keep genuine clients from getting to organize assets, administrations, and data. To defeat the deformities of the DOS assault we fundamental plan an IDS. An Intrusion revelation structure (IDS) is a device or software application that screens a framework or systems for harmful activity or course of action encroachment. In this paper, we propose another element choice technique on recognizing a portion of the potential traits of a DoS assault dependent on processed load for every one of the qualities utilizing entropy estimation and recursive component end. We apply one of the proficient classifier choice tree calculation for assessing highlight decrease technique. Choice Tree is the basic methods connected to interruption discovery framework and keep the assaults from the interlopers. The NSL-KDD informational collection is the refined variant of the KDD cup99 informational collection. Numerous sorts of examination have been completed by numerous specialists on the NSL-KDD dataset utilizing diverse strategies and apparatuses with a general target to build up a compelling interruption identification framework

scholarly journals Intrusion Detection System

2020 ◽  
pp. 13-16
Author(s):  
Shivani Agrawal ◽  
Priyanka Walke ◽  
Shivam Pandit ◽  
Sangram Nevse ◽  
Sunil Deokule
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Detection Methods ◽  
Digital Information ◽  
Traditional Use ◽  
Software Application ◽  
Detection Techniques ◽  
Complete Study ◽  
Use Of Internet

Intrusion Detection System (IDS) is well-defined as a Device or software application which monitors the system activities and finds if there is any malevolent activity that has occured. Unresolved growth and traditional use of internet raises anxieties about how to connect and protect the digital information securely. In today's world hackers use different types of attacks for getting the valued information. Many of the intrusion detection techniques, methods and procedures help to perceive those several attacks. The main objective of this paper is to provide a complete study about the intrusion detection, sorts of intrusion detection methods, types of attacks, diverse tools and practices, research needs, challenges and finally change the IDS Tool for Research Purpose That tool are capable of perceiving and prevent the attack from the intruder.

scholarly journals Intrusion Detection System using Machine Learning

2020 ◽  
pp. 61-71
Author(s):  
Jayesh Zala ◽  
Aditya Panchal ◽  
Advait Thakkar ◽  
Bhagirath Prajapati ◽  
Priyanka Puvar
Keyword(s):  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Machine Learning Technique ◽  
Software Application ◽  
Malicious Activity ◽  
The Past ◽  
Learning Technique

Intrusion Detection System (IDS) is a tool, or software application, that monitors network or system activity and detects malicious activity occurring. The protected evolution of the network must incorporate new threats and related approaches to avoid these threats. The key role of the IDS is to secure resources against the attacks. Several approaches, methods and algorithms of the intrusion detection help to detect a plethora of attacks. The main objective of this paper is to provide a complete system to detect intruding attacks using the Machine Learning technique which identifies the unknown attacks using the past information gained from the known attacks. The paper explains preprocessing techniques, model comparisons for training as well as testing, and evaluation technique.

scholarly journals IMPLIKASI R-WALL UNTUK PENDETEKSIAN DAN PENGAMANAN SERANGAN SIBER PADA SERVER

2021 ◽  
Vol 9 (1) ◽  
pp. 45-55
Author(s):  
Abdul Djalil Djayali ◽  
Rifaldi Nurdin ◽  
Rachmat Saleh Sukur
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Denial Of Service ◽  
Brute Force ◽  
File Transfer Protocol ◽  
File Transfer ◽  
Secure Shell ◽  
Transfer Protocol

Keamanan berbanding terbalik dengan kenyamanan, semakin nyaman dalam penerapan teknologi maka akan berdampak pada sisi keamanan sistem. Server merupakan salah satu infratruktur yang penting dalam mengelolah data. Mencegah serangan pada Server penting untuk dilakukan. Penerapan firewall dapat meminimalisir serangan yang membahayakan Server. Salah satunya dengan menerapkan aplikasi Intrusion Detection System (IDS) seperti Snort yang memiliki kemampuan untuk mendeteksi serangan yang terjadi pada sistem Server. Pada penelitian ini, penulis melakukan pengembangan sistem yang diberi nama R-Wall. Penerapan R-Wall bertujuan untuk mampu memonitor dan mengamankan server terhadap beberapa metode serangan, antara lain yaitu distribution denial of service (DDoS) ping of death, port scanning, brute force pada layanan file transfer protocol (FTP) dan brute force pada layanan secure shell (SSH). Hasil penerapan ini mampu memberikan notifikasi serangan yang dikirimkan melalui robot Telegram dengan total 247 serangan DDoS ping of death, 8 serangan port scanning, 247 serangan brute force pada layanan FTP dan 208 serangan pada layanan brute force SSH. R-Wall juga mampu melakukan pembatasan akses terhadap penyerang.

scholarly journals Intrusion Detection System Based on Data Mining Techniques

2017 ◽  
Vol 10 (2) ◽  
pp. 491-496
Author(s):  
Abhinav Kumra ◽  
W Jeberson ◽  
Klinsega Jeberson
Keyword(s):  
Network Security ◽  
Best Practices ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Functional Requirements ◽  
Transition Analysis ◽  
Detection Systems ◽  
Advantages And Disadvantages ◽  
Different Types

Network security is one of the most important non-functional requirements in a system. Over the years, many software solutions have been developed to enhance network security. Intrusion Detection System (IDS) we have provided an overview of different types of intrusion Detection Systems, the advantages and disadvantages of the same. The need for IDS in a system environment and the generic blocks in IDS is also mentioned.The examples are as follows: (1) Misuse intrusion detection system that uses state transition analysis approach, (2) Anomaly based system that uses payload modeling and (3) Hybrid model that combines the best practices of Misuse and Anomaly based intrusion systems.

scholarly journals History Aware Anomaly Based IDS for Cloud IaaS

2013 ◽  
Vol 10 (6) ◽  
pp. 1779-1784 ◽  
Author(s):  
Punit Gupta ◽  
Pallavi Kaliyar
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Dos Attack ◽  
Infrastructure As A Service ◽  
Network Attack ◽  
Security Challenges ◽  
Different Types ◽  
Cross Site

Cloud Computing provides different types of services  such as SaaS, PaaS, IaaS. Each of them have their own security challenges, but IaaS undertakes all types of challenges viz., network attack ,behaviour based attack, request based attacks  i.e handling the requests from untrusted users, XSS (cross site scripting attack), DDOS and many more. These attacks are independent of each other and consequently the QoS provided by cloud is compromised. This paper proposes a History aware Behaviour based IDS (Intrusion Detection System) BIDS. BIDS provides detection of untrusted users, false requests that may lead to spoofing, XSS  or DOS attack and many more such attacks. In addition,  certain cases where user login or password is compromised. History aware BIDs can be helpful in detecting such attacks and maintaining the QoS provided to the user in cloud IaaS ( Infrastructure as a service).

scholarly journals IDSDL: a sensitive intrusion detection system based on deep learning

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yanjun Hu ◽  
Fan Bai ◽  
Xuemiao Yang ◽  
Yafeng Liu
Keyword(s):  
Deep Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Access Point ◽  
Neuron Network ◽  
Channel State ◽  
State Information ◽  
Phase Propagation ◽  
Device Free

AbstractDevice-free passive (DfP) intrusion detection system is a system that can detect moving entities without attaching any device to the entities. To achieve good performance, the existing algorithms require proper access point (AP) deployment. It limits the applying scenario of those algorithms. We propose an intrusion detection system based on deep learning (IDSDL) with finer-grained channel state information (CSI) to free the AP position. A CSI phase propagation components decomposition algorithm is applied to obtain blurred components of CSI phase on several paths as a more sensitive detection signal. Convolutional neuron network (CNN) of deep learning is used to enable the computer to learn and detect intrusion without extracting numerical features. We prototype IDSDL to verify its performance and the experimental results indicate that IDSDL is effective and reliable.

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