scholarly journals Network Security Analysis in Vanet Against Black Hole and Jellyfish Attack with Intrusion Detection System Algorithm

2017 ◽  
Vol 11 (2) ◽  
pp. 77
Author(s):  
Elsa Mustikawati ◽  
Doan Perdana ◽  
Ridha Muldina Negara
Keyword(s):  
Black Hole ◽  
Intrusion Detection ◽  
Intelligent Transportation Systems ◽  
Intrusion Detection System ◽  
Detection System ◽  
Security Analysis ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Network Simulator

VANET is the key to the Intelligent Transportation Systems (ITS), where vehicles can communicate with others to exchange information in real time. VANET is an ad-hoc that has no fixed infrastructure and rapidly changing network topology. As the result, the network is insecure and vulnerable to various attacks both from within and outside the network. This research analyzes AODV routing protocol comparing the conditions without the attacks and with the attacks with the of black hole and jellyfish using the algorithm of Intrusion Detection System with the number of nodes changing from 10 to 100 nodes at the change speeds of 70, 80, 90, 100, 110, and 120 km/h. This research is simulated using Network Simulator 2 to model the network and ONESimulator to model node mobility. The analyzed QoS parameters are packet delivery ratio (PDR), throughput, and end-to-end delay. The results of the simulation show that changing the number of nodes and node velocity affects the performance in the network. On the number of nodes scenario with attacks, the average value of PDR decreases by 48.03%, throughput decreases by 50.23%, and delay, for black hole, decreases by 80.18% but increases by 47.87% for jellyfish. Whereas in the node velocity scenario, the average values of PDR, throughput, and delay decrease by 58.52%, 60.34%, 13.81% for blackhole attack, respectively. However, the delay increases by 123.91% for jellyfish attack.

scholarly journals Analytical Termination of Malicious nodes (ATOM): An Intrusion Detection System for Detecting Black Hole attack in Mobile Ad hoc Networks

2021 ◽  
Author(s):  
S. Sivanesh ◽  
V R Sarma Dhulipala
Keyword(s):  
Black Hole ◽  
Intrusion Detection ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Intrusion Detection System ◽  
Ad Hoc ◽  
Detection System ◽  
Delivery Ratio ◽  
Malicious Nodes ◽  
Aodv Routing Protocol

Abstract The decentralized administration and the lack of an appropriate infrastructure causes the MANET prone to attacks. The attackers play on the vulnerable characteristics of the MANET and its underlying routing protocols such as AODV, DSR etc to bring about a disruption in the data forwarding operation. Hence, the routing protocols need mechanisms to confront and tackle the attacks by the intruders. This research introduces the novel Host-based Intrusion Detection System (HIDS) known as Analytical Termination of Malicious nodes (ATOM) that systematically detects one of the most significant black hole attacks that affects the performance of AODV routing protocol. ATOM IDS performs detection by computing the RREP count (Route Reply) and the packet drop value for each individual node. This system has been simulated over the AODV routing protocol merged with the black hole nodes and the resultant simulation scenario in NS2 has been generated. The trace obtained shows a colossal increase in the packet delivery ratio (pdr) and throughput. The results prove the efficacy of the proposed system.

Artificial Intelligence Based Intrusion Detection System to Detect Flooding Attack in VANETs

2018 ◽  
pp. 87-100 ◽  
Author(s):  
Mannat Jot Singh Aneja ◽  
Tarunpreet Bhatia ◽  
Gaurav Sharma ◽  
Gulshan Shrivastava
Keyword(s):  
Intrusion Detection ◽  
Ad Hoc Networks ◽  
Intrusion Detection System ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Detection System ◽  
Delivery Ratio ◽  
Flooding Attack ◽  
Hoc Networks

This chapter describes how Vehicular Ad hoc Networks (VANETs) are classes of ad hoc networks that provides communication among various vehicles and roadside units. VANETs being decentralized are susceptible to many security attacks. A flooding attack is one of the major security threats to the VANET environment. This chapter proposes a hybrid Intrusion Detection System which improves accuracy and other performance metrics using Artificial Neural Networks as a classification engine and a genetic algorithm as an optimization engine for feature subset selection. These performance metrics have been calculated in two scenarios, namely misuse and anomaly. Various performance metrics are calculated and compared with other researchers' work. The results obtained indicate a high accuracy and precision and negligible false alarm rate. These performance metrics are used to evaluate the intrusion system and compare with other existing algorithms. The classifier works well for multiple malicious nodes. Apart from machine learning techniques, the effect of the network parameters like throughput and packet delivery ratio is observed.

Evaluation of Topology-Based Routing Protocols for Dissemination of Emergency Messages in Urban Vehicular Traffic Scenarios in India

2021 ◽  
pp. 46-74
Author(s):  
Pawan Singh ◽  
Suhel Ahmad Khan ◽  
Pramod Kumar Goyal
Keyword(s):  
Routing Protocols ◽  
Intelligent Transportation Systems ◽  
Road Transport ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
New Delhi ◽  
Network Simulator ◽  
Vehicular Traffic ◽  
Road Accidents ◽  
Packet Delivery

VANET is a subclass of MANET that makes the dream of intelligent transportation systems come true. As per the report of the Ministry of Road Transport and Highways, India, 1.5 million people were killed in road accidents in 2015. To reduce casualty and provide some kind of comfort during the journey, India must also implement VANETs. Applicability of VANET in Indian roads must be tested before implementation in reality. In this chapter, the real maps of Connaught Place, New Delhi from Open Street maps websites is considered. The SUMO for traffic and flow modeling is used. Many scenarios have been used to reflect real Indian road conditions to measure the performance of AODV, DSDV, and DSR routing protocols. The CBR traffic is used for the dissemination of emergency messages in urban vehicular traffic scenarios. The throughput, packet delivery ratio, and end-to-end delay are considered for performance analysis through the NS-2.35 network simulator.

scholarly journals Analisis Keamanan Transaksi E-Commerce Menggunakan Intrusion Detection System (IDS) Berbasis Snort

2020 ◽  
Vol 12 (1) ◽  
pp. 40
Author(s):  
Tri Lestari ◽  
Imam Riadi ◽  
Rusydi Umar
Keyword(s):  
Network Security ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Security Analysis ◽  
Digital Age ◽  
The Internet ◽  
Technology Infrastructure ◽  
Transaction Process ◽  
The Many

AbstractThe digital age is a sign of the progress of the internet that has made everything easy and fast. Tix Id is one of the many e-commerce applications that have developed in the digital age. This application requires that consumers are satisfied with promotions and services. Even though the Tix Id application already provides the best service, there are still some customers who feel unsatisfied using the application, a problem that often occurs is that there is often a one-sided ticket booking cancellation by Tix Id, the transaction process has been successfully carried out, besides that the consumer is also harmed by Tix's complaints My ID-consumer refunds remain reduced, and there are also often errors that contain seats not available. One way to optimize this application in the transaction process, namely by improving the information infrastructure, before improving the technology infrastructure, security analysis will be done first by using the intrusion detection system (IDS) [1], and this IDS is the process of finding active solutions suspicious on a system or network so that it can be identified the cause that occurs in the Tix Id application transaction process. The results obtained from this study are errors that often occur in Tix Id applications can not be identified whether it is an attack or not, but this research has resulted in the design of the need to optimize network security in Tix Id applications.Keywords: Security, Transactions, Tix Id, Intrusion Detection System (IDS), SnortAbstrakEra digital merupakan tanda kemajuan internet yang menyebabkan semua menjadi mudah dan cepat. Tix Id adalah salah satu dari sekian banyak aplikasi e-commerce yang berkembang di era digital. Aplikasi ini berusaha agar konsumen merasa puas dengan promosi dan pelayanan. Meskipun aplikasi Tix Id sudah berusaha memberikan pelayanan terbaik namun masih ada beberapa konsumen yang merasa kurang puas menggunakan aplikasi tersebut, masalah yang sering terjadi adalah sering terjadi pembatalan pemesanan tiket sepihak oleh Tix Id padahal proses transaksi sudah berhasil dilakukan, selain itu konsumen juga merasa dirugikan ketika pihak Tix Id me-refund konsumen namun saldo konsumen tetap berkurang, dan juga sering terjadi error yang berisi pesan kursi tidak tersedia. Salah satu cara untuk mengoptimasi aplikasi tersebut kususnya dalam proses transaksi, yaitu dengan memperbaiki infrastruktur teknologi informasi, sebelum diperbaiki infrastruktur teknologinya, akan dilakukan terlebih dahulu analisis keamanan dengan menggunakan metode intrusion detection system (IDS) [1], dimana IDS ini merupakan proses untuk mendeteksi aktivias mencurigakan pada sebuah sistem atau jaringan sehingga dapat diketahui penyebab kesalahan yang terjadi pada proses transaksi aplikasi Tix Id. Hasil yang diperoleh dari penelitian ini adalah kesalahan yang sering terjadi pada aplikasi Tix Id belum dapat teridentifikasi apakah merupakan serangan atau bukan, namun penelitian ini telah menghasilkan rancangan kebutuhan untuk mengoptimalisasi keamanan jaringan pada aplikasi Tix Id.Kata Kunci: Keamanan, Transaksi, Tix Id, Intrusion Detection System (IDS), Snort

Sign in / Sign up

Export Citation Format

Share Document