Journal ArticleDOI
D-FICCA: A density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks
Shahaboddin Shamshirband,Shahaboddin Shamshirband,Amineh Amini,Nor Badrul Anuar,Miss Laiha Mat Kiah,Ying Wah Teh,Steven Furnell +6 more
TLDR
The imperialist competitive algorithm (ICA) is modified with a density-based algorithm and fuzzy logic for optimum clustering in WSNs and achieves higher detection accuracy 87% and clustering quality 0.99 compared to existing approaches.About:
This article is published in Measurement.The article was published on 2014-09-01. It has received 106 citations till now. The article focuses on the topics: Imperialist competitive algorithm & Canopy clustering algorithm.read more
Citations
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Book ChapterDOI
Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review from 2000 to 2014
TL;DR: A comprehensive survey on FCM and its applications in more than one decade has been carried out to show the efficiency and applicability in a mixture of domains and to encourage new researchers to make use of this simple algorithm.
Journal ArticleDOI
Denial of Service Defence for Resource Availability in Wireless Sensor Networks
TL;DR: A review of denial of service attacks that affect resource availability in WSN and their countermeasure is presented by presenting a taxonomy and future research directions and open research issues are discussed.
Journal ArticleDOI
A survey on attack detection, estimation and control of industrial cyber-physical systems.
TL;DR: A survey on recent advances on security issues of industrial cyber-physical systems (ICPSs) is presented in this article, where two typical kinds of attacks, namely Denial-of-Service (DoS) attack and Deception attack, are discussed.
Journal ArticleDOI
Network-centric Performance Analysis of Runtime Application Migration in Mobile Cloud Computing
TL;DR: The analysis shows that the application and its running states migration time is affected by the changes in the network conditions, and recommends application execution framework designers to incorporate the network-centric parameters along with other parameters in the decision process of the application migration.
Journal Article
How to be Energy Efficient
TL;DR: Selekoglu and Cimento as mentioned in this paper presented a reminder of the basic considerations in approaching energy-efficient processes, and presented a method to improve the energy efficiency of processes.
References
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Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Proceedings Article
A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise
TL;DR: In this paper, a density-based notion of clusters is proposed to discover clusters of arbitrary shape, which can be used for class identification in large spatial databases and is shown to be more efficient than the well-known algorithm CLAR-ANS.
Proceedings Article
A density-based algorithm for discovering clusters in large spatial Databases with Noise
TL;DR: DBSCAN, a new clustering algorithm relying on a density-based notion of clusters which is designed to discover clusters of arbitrary shape, is presented which requires only one input parameter and supports the user in determining an appropriate value for it.
Book
Finding Groups in Data: An Introduction to Cluster Analysis
TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.