Title
Distributed denial of service DDoS attack detection using data mining approach in cloud-assisted wireless body area networks
Abstract
AbstractNowadays, wireless body area networks WBANs is emerging as a promising technology with a considerable potential in improving patients healthcare services. The integration of WBAN and cloud computing technology provides a platform to create a new digital paradigm with leading features called cloud-assisted WBAN. The foremost concern of cloud-assisted WBAN is the security and privacy of data either collected and stored by WBAN sensors or transmitted to cloud over an insecure network. Among these, data availability is the most nagging security issue. The major threat to data availability is distributed denial of service attack DDoS normally launched from various distributed locations. In order to assure the all time availability of patients data, we propose a distributed victim based DDoS attack detection mechanism based on very fast decision tree VFDT learning model in cloud-assisted WBAN. The evaluation and performance analysis shows that the proposed mechanism could detect DDoS attack with high accuracy, and reduced false positive and false negative ratio.
Year
DOI
Venue
2016
10.1504/IJAHUC.2016.078474
Periodicals
Keywords
Field
DocType
cloud-assisted wireless body area network, data mining, DDoS, distributed denial of service attack, sensor localisation, ad hoc and ubiquitous computing
Decision tree,Data security,Wireless,Denial-of-service attack,Data availability,Computer science,Computer security,Trinoo,Computer network,Information privacy,Cloud computing
Journal
Volume
Issue
ISSN
23
1/2
1743-8225
Citations 
PageRank 
References 
1
0.35
9
Authors
3
Name
Order
Citations
PageRank
Rabia Latif1345.61
Haider Abbas239143.88
Seemab Latif3275.71