Using association rules mining, multi-level data representation and cross-layer operations for data management in mobile ad hoc network

2021 ◽  
Vol 9 (3) ◽  
pp. 229
Author(s):  
Noman Islam ◽  
Ghazala Shafi Sheikh ◽  
Zubair Ahmed Shaikh
Keyword(s):  
Data Management ◽  
Association Rules ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Data Representation ◽  
Cross Layer ◽  
Level Data ◽  
Multi Level ◽  
Mobile Ad Hoc

scholarly journals HANDY: a hybrid association rules mining approach for network layer discovery of services for mobile ad hoc network

2013 ◽  
Vol 19 (8) ◽  
pp. 1961-1977 ◽  
Author(s):  
Noman Islam ◽  
Zubair Ahmed Shaikh ◽  
Aqeel-ur Rehman ◽  
Muhammad Shahab Siddiqui
Keyword(s):  
Association Rules ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Association Rules Mining ◽  
Network Layer ◽  
Mobile Ad Hoc

scholarly journals An Efficient Multi Level Intrusion Detection System for Mobile Ad-Hoc Network Using Clustering Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 1977-1985 ◽  
Keyword(s):  
Knowledge Base ◽  
Data Center ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
High Reliability ◽  
Large Set ◽  
Clustering Technique ◽  
Multi Level ◽  
Mobile Ad Hoc

Mobile Ad-Hoc Network (MANET) is constructed using autonomous self-disciplinary nodes that communicate and exchange information through wireless medium. VM based IDS identify the attacks in the Virtual Machine Level with isolated properties of data center at the cloud. This is efficient only at the data center level i.e. infrastructure level. These problems are addressed by the proposed multi – level IDS for MANET using clustering technique. It identifies the black-hole attack from the external level to internal level. The pattern of the internal as well as external attacks are extracted and stored into the knowledge base for further analysis. The nodes are clustered and select an arbitrary node as a cluster head. The topology also monitored for maintaining consistency over the detection. The MANET packets are compared with the knowledge base to detect the malicious packets. The malicious node can also be eliminated from the network. Various modern IDS tools are analyzed with large set of attacks in multiple levels in order to maintain high reliability. Different algorithms are compared with proposed IDS in performance evaluation metrics such as IDS rate, Positive Rate and alarm rate and so on. The proposed IDS provides high accuracy when compared to existing algorithms in all levels

scholarly journals Improved TCP Prediction Congestion in Mobile Ad Hoc Network Based on Cross-Layer and Fuzzy Logic

2021 ◽  
Vol 15 (14) ◽  
pp. 125
Author(s):  
Moulay Hicham Hanin ◽  
Mohamed Amnai ◽  
Youssef Fakhri
Keyword(s):  
Fuzzy Logic ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Signal Strength ◽  
Cross Layer ◽  
Fuzzy Logic Systems ◽  
Tree Metrics ◽  
Mobile Ad Hoc ◽  
Stability Energy

Mobile ad hoc network (MANET) is among the networks which do not require any infrastructure to put nodes in communication. Due to its own nature, it is used by several applications. Even though it's a network that is extremely challenging and mostly when TCP is applied. In this paper, we have proposed a new improvement in the TCP algorithm that employed fuzzy logic to predict packet loss and avoid congestion. Specifically, we have used tree metrics such as stability, energy, and signal strength to use in fuzzy logic systems. To accomplish our approach, we have established some modifications based on a cross-layer. The results of the relevant simulation performed by NS3 demonstrated that our approach globally improves the performance of TCP in MANET. Precisely reduce the packet overhead and energy consumption also enhance throughput.

Sign in / Sign up

Export Citation Format

Share Document