blackhole attack detection and mitigation in ns2 simulation

Blackhole Attack detection and Mitigation in NS2 simulation

Blackhole Attack detection and Mitigation in NS2 simulation

Introduction

In today’s interconnected world, wireless networks play a pivotal role in facilitating seamless communication and data exchange. However, with the benefits of these networks come security risks, including the notorious “Blackhole Attack.” In this post, we will delve into the world of Blackhole Attack detection, exploring the threats it poses and the cutting-edge techniques to safeguard your network.

Understanding Blackhole attack

A Blackhole Attack occurs when a malicious node within a wireless network deceives other nodes by falsely claiming to have the shortest path to the destination. Instead of forwarding data packets as expected, the attacker drops them, creating a virtual “black hole” that swallows data. This can lead to severe consequences, such as data loss, network congestion, and compromised communication integrity.

Key challenges in Blackhole detection

Detecting Blackhole Attacks is a formidable task due to their deceptive nature. Attackers disguise themselves as legitimate nodes, making it difficult to distinguish their malicious behavior from normal network behavior. Moreover, these attacks can be launched in various wireless network types, such as MANETs and WSNs, adding complexity to the detection process.

Demo video in NS2

Blackhole detection an Rerouting- NS2
insider attack protection with secure authentication using ecc algorithm

Insider Attack protection with Secure Authentication using ECC algorithm

Insider Attack protection with Secure Authentication using ECC algorithm

Insider Attack protection with Secure Authentication using ECC algorithm is developed in NS2 simulation tool.

What are the algorithms Used?

The algorithm used in the project are

ECC algorithm

Elliptic curve cryptography

Advanced standard encryption algorithm

Breadth first search and depth first search

Demo of the project

Insider attack protection using ECC algorithm

identity based privacy preservin

Identity Based Privacy Preserving Authentication Scheme for VANETs

In this projects implementation, we considered creating wireless network as VANET architecture, which has On-board Unit (OBU) or Road side Unit (RSU), vehicles and access points (AP).

For Node’s authentication, we used Elliptic Curve Cryptography (ECC) algorithm for creating nodes private key

Additionally random generated key pair values are assigned to nodes as public key and private key

Identity-Based Privacy-Preserving Authentication scheme for VANETs

Identity-Based Privacy-Preserving Authentication Scheme for VANETS

Vehicles are authenticated by RSU and can communicate within the network.

Implementation is done using ns-allinone-2.34 software tcl command. Software and Tutorial is available under following link https://www.isi.edu/nsnam/ns/tutorial/

Modules implemented in this project

Initialization phase
Vehicle registration module
Vehicle joining module
Broadcasting and verification module
Key revocation and renewal module

Request us Project Abstract and PPT

Check the Demo video of Identity-Based Privacy-Preserving Authentication Scheme for VANETS

Identity-Based Privacy-Preserving Authentication Scheme for VANETs | ieee project demo

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Defending against backdoor attacks

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improving safety on drivers for

Improving Safety on Drivers for Vehicular Ad Hoc Networks

Improving Safety on Drivers for Vehicular Ad Hoc Networks

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NS2 Demo

Improving Safety on Drivers for Vehicular Ad Hoc Networks