The Fuzzy c-means is one of the most popular ongoing area of research among all types of researchers including Computer science, Mathematics and other areas of engineering, as well as all areas of optimization practices. Several problems from various areas have been effectively solved by using FCM and its different variants. But, for efficient use of the algorithm in various diversified applications, some modifications or hybridization with other algorithms are needed. A comprehensive survey on FCM and its applications in more than one decade has been carried out in this paper to show the efficiency and applicability in a mixture of domains. Also, another intention of this survey is to encourage new researchers to make use of this simple algorithm (which is popularly called soft classification model) in problem solving.

Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review from 2000 to 2014

Wireless sensor networks (WSN) over the years have become one of the most promising networking solutions with exciting new applications for the near future. Its deployment has been enhanced by its small, inexpensive, and smart sensor nodes, which are easily deployed, depending on its application and coverage area. Common applications include its use for military operations, monitoring environmental conditions (such as volcano detection, agriculture, and management), distributed control systems, healthcare, and the detection of radioactive sources. Notwithstanding its promising attributes, security in WSN is a big challenge and remains an ongoing research trend. Deployed sensor nodes are vulnerable to various security attacks due to its architecture, hostile deployment location, and insecure routing protocol. Furthermore, the sensor nodes in WSNs are characterized by their resource constraints, such as, limited energy, low bandwidth, short communication range, limited processing, and storage capacity, which have made the sensor nodes an easy target. Therefore, in this paper, we present a review of denial of service attacks that affect resource availability in WSN and their countermeasure by presenting a taxonomy. Future research directions and open research issues are also discussed.

Denial of Service Defence for Resource Availability in Wireless Sensor Networks

Cyber–physical systems (CPSs) are complex systems that involve technologies such as control, communication, and computing Nowadays, CPSs have a wide range of applications in smart cities, smart grids, smart manufacturing and intelligent transportation However, with integration of industrial control systems with modern communication technologies, CPSs would be inevitably exposed to increasing security threats, which could lead to severe degradation of the system performance and even destruction of CPSs This paper presents a survey on recent advances on security issues of industrial cyber–physical systems (ICPSs) We specifically discuss two typical kinds of attacks, ie, Denial-of-Service (DoS) attack and Deception attack, and present recent results in terms of attack detection, estimation, and control of ICPSs Classifications of current studies are analyzed and summarized based on different system modeling and analysis methods In addition, advantages and disadvantage of various methodologies are also discussed Finally, the paper concludes with some potential future research directions on secure ICPSs

A survey on attack detection, estimation and control of industrial cyber-physical systems.

Network-centric Performance Analysis of Runtime Application Migration in Mobile Cloud Computing

Mahmut C. Selekoglu, Adana Cimento, Turkey, presents a reminder of the basic considerations in approaching energy-efficient processes.

Ying Wah Teh

Papers

D-FICCA: A density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks