DEVELOPMENT OF AN INTERNET PROTOCOL TRACEBACK SCHEME FOR DENIAL OF SERVICE ATTACK SOURCE DETECTION
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style: APA
- Recommended for : Student Researchers
- NGN 3000
ABSTRACT
This study presents the development of an Internet Protocol (IP) traceback scheme for the detection of a denial of service (DoS) attack source base on shark smell optimization algorithm (SSOA). Detection of the source of DoS attack is very important due to the serious damages the attack do cause and the need to bring the perpetrators to justice to stop the menace. DoS attack is a major threat to the security of network systems and consists of attacks that exploit the vulnerability in a network to overload it with tasks and prevent it from attending to other legitimate users. Flash event (FE) can cause traffic surge in a part of the network crossed by the attack path that is being traced. Flash event traffic surge can be very similar to a DoS attack and may mislead the present IP tracebacks schemes that are based on swarm optimization algorithms when tracing the source of an attack using flow-based search method. The challenge is more pronounced with flow-based search for detecting attack source because the flash event flow surge share very similar characteristics with DoS flooding attack. In order to mitigate the challenge of flash event traffic surge causing error in IP traceback schemes, DoS attack source traceback scheme based on shark smell optimization algorithm called the SSOA-DoSTBK was developed. It is incorporated with discernment policy for implementing hop-by-hop search to avoid flash event traffic surge and ascertain the nodes that are actually involved in routing the attack packets. This scheme was simulated in Network Simulator version 2 (NS2). The performance of SSOA-DoSTBK was evaluated using False Error Rate (FER), convergence time, and ability to detect spoofed IP attack source based on the correctness of the returned path as performance metrics. It was compared with results obtained from a scheme reported in literature called the modified ant colony system algorithm for IP traceback (ACS-IPTBK). The SSOA-DoSTBK performed better in FER and spoofed IP attack tests by as much as 32.06%. However, ACS-IPTBK converged faster than the SSOA-DoSTBK in the tests by as much as 1.2%.
Related Project Materials
REINSURANCE PRACTICES AND UNDERWRITING CAPACITY OF INSURERS IN NIGERIA
BACKGROUND TO THE STUDY
Insurance is a provision of a system of compensation for loss, damage, sickness, death and other...
IMPACT OF JIGSAW I LEARNING STRATEGY ON ATTITUDE AND PERFORMANCE IN ALGEBRA AMONG SENIOR SECONDARY SCHOOLS STUDENTS, ZARIA, NIGERIA.
ABSTRACT
The study investigated the Impact of Jigsaw I Learning Strategy on Attitude and Performance in Algebra among Senior Secondary Sc...
AN EMPIRICAL INVESTIGATION OF COVID-19 ON PRODUCT SALES AND MARKETING
ABSTRACT
This study is carried out to examine an empirical investigation of Covid-19 effect on Products...
STRATEGIES FOR INTEGRATING ENTREPRENEURSHIP INTO VOCATIONAL CURRICULA
ABSTRACT: This study examines strategies for integrating entrepreneurship into vocational curricula, aiming to equip students with essential b...
SOME UTEROTONIC PROPERTIES OF AQUEOUS LEAF EXTRACT OF SIDA CORYMBOSA (Fries) IN LABORATORY ANIMALS
ABSTRACT
Uterotonic property is the characteristic innate ability of a substance to spontaneously initiate and maintain uterine contracti...
THE EFFECT OF BROKEN HOMES ON STUDENT’S ACADEMIC PERFORMANCE OF SECONDARY SCHOOL STUDENTS IN NIGERIA
ABSTRACT
The project examines broken home and its effects on academic performance secondary school stud...
DESIGN AND IMPLEMENTATION OF OFFICE MANAGEMENT SYSTEM
ABSTRACT
The research work “design and implementation of office management system” includes registration of...
Improving Deep Representations by Incorporating Domain Knowledge and Modularization for Synthetic Aperture Radar and Physiological Data
Abstract
Machine Learning (ML) using Artificial Neural Networks (ANNs), referred to as Deep Learning (DL), is a very popular and powerful...
ASSESSMENT of THE ECONOMIC PROBLEMS AFFECTING CASSAVA PRODUCTION IN ITU LOCAL GOVERNMENT AREA
Background of the study
Cassava is one of the world's most important staple food crops, supplying a significant...
IMPACT OF PARTICIPATORY NON-FORMAL ENVIRONMENTAL EDUCATION PROGRAMME ON ADULT LEARNERS‟ ENVIRONMENTAL KNOWLEDGE, ATTITUDE AND PRACTICES IN OYO STATE, NIGERIA
ABSTRACT
Nigerian environment has been threatened as a result of human activities and natural disasters. This is worsened by the ignoranc...
