Enhanced Detection and Elimination Mechanism from Cooperative Black Hole Threats in MANETs
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 3
Abstract
Malicious node invasion as black hole attack is a burning issue in MANETs. Black hole attacks with a single malicious node is easy to detect and prevent. The collaborative attacks with multiple cooperative malicious node is a challenging issue in security of MANETs as it is difficult to figure out due to its complex and sophisticated mechanism. This study proposed a novel signature-based technique to detect and handle the cooperative black hole attack in MANETs. For this purpose, diverse type of simulation scenarios are used with increasing number of nodes. The parameters such as average throughput, average packet drop, average end to end delay, average processing time and malicious node detection rate are used to measure the impact of signature-based malicious node detection scheme. AODV is used as routing protocol in this study. This study revealed that the performance of MANETs degrades with an increase in a number of malicious nodes. The average throughput of MANETs decreases with increase in average end to end delay and average packet drop. Signature-based malicious nodes detection mechanism is used to counter the cooperative black hole attack. The signature-based technique has enhanced the detection and elimination of cooperative black hole attack in MANETs. This helps in comparatively an increase in average throughput and decrease in packet delay and packet drop.
Authors and Affiliations
Samiullah Khan, Faqir Usman, Matiullah Matiullah
Keywords
Related Articles
- EP ID EP278327
- DOI 10.14569/IJACSA.2018.090350
- Views 100
- Downloads 0
Methodology for Selecting the Preferred Networked Computer System Solution for Dynamic Continuous Defense Missions
This paper presents a methodology for addressing the challenges and opportunities in defining and selecting the preferred Networked Computer System (NCS) solution in response to specified United States Defense mission pl...
Amharic based Knowledge-Based System for Diagnosis and Treatment of Chronic Kidney Disease using Machine Learning
Chronic kidney disease is an important challenge for health systems around the world and consuming a huge proportion of health care finances. Around 85% of the world populations live in developing country of the world, w...
A Proposed Peer Selection Algorithm for Transmission Scheduling in P2P-VOD Systems
Video transmission in peer-to-peer video-on-demand faces some challenges. These challenges include long transmission delay and poor quality of service. The peer selection plays an important role in enhancing transmission...
Analysis of Heart Rate Variability by Applying Nonlinear Methods with Different Approaches for Graphical Representation of Results
There is an open discussion over nonlinear properties of the Heart Rate Variability (HRV) which takes place in most scientific studies nowadays. The HRV analysis is a non-invasive and effective tool that manages to refle...
A Proposed Textual Graph Based Model for Arabic Multi-document Summarization
Text summarization task is still an active area of research in natural language preprocessing. Several methods that have been proposed in the literature to solve this task have presented mixed success. However, such meth...