KARTHIKEYAN K
@snsce.ac.in
Assistant Professor - Computer Science and Engineering
sns college of engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
K. Karthikeyan, S. Karthik, K. Periyakaruppan, and M. S. Kavitha
Springer Nature Singapore
Anandakumar Haldorai and Karthikeyan K
Anapub Publications
This article focusses on a rapidly evolving networking architecture known as Software Defined Networking (SDN) and the possibilities of hazards in the network. This architecture introduces decoupled infrastructure, which establishes customization in the networking system hence making it easy to manage, troubleshoot and configure. This paper focusses on the different aspects of the architecture leaving it an intermediate working in between scholarly application, adding on the elements such as security lapses, security behaviors, general security, programmability and design. In this paper, different points of weakness of the architecture have been evaluates, including the attack vector in every plane. This paper ends with a presentation for futuristic studies on the implications of attacks and potential solutions.
P. Saradhamani, Anitha. S, K. P. Keerthana, and K. Karthikeyan
IEEE
To continue to aid others, health professionals around the world prioritize self-defense. This includes learning how to prevent and control illnesses, as well as how to use personal protective equipment (PPE), properly wash hands, and dispose of potentially dangerous substances. The World Health Organization (WHO) defines protective gear (PPE) as garments are worn to safeguard health professionals or other people from contamination. Face protection, goggles and masks or face protection, gloves, gloves or caps, headgear, and rubber boots are all examples of medical PPE. This study, which took a long time and effort to achieve, is about medical PPE to protect against viruses or potentially infectious chemicals. This study, which took a lot of time and effort, focused on medical PPE to prevent potential foreign infectious pathogens or substances.
K. Karthikeyan, Radhika M, Sivaprakash K, and E. Sarayu
IEEE
Device-free localization (DFL) is not an evolving technology for assessing a person or object's position that is not fitted with any electronic chip, nor is it directly involved in the process of place. Motivated by the recent developments in the Internet of Things (IoT), the device-free calibration method in IoT environments automatically creates a device-free fingerprint. Accurate localization has been a key concern for numerous location-based services. Growing attention has recently been drawn to research on IoT localization systems for smart cities. Localization using the current wireless communication system is seen as a high-potential, efficient process. IoT-based approaches to fingerprinting have recently gained prominence. Finally, a comprehensive and detailed site survey process is required to construct the fingerprint using device-free localization. To address this problem, an effort was made to review the theory behind device-free localization and various machine learning frameworks developed.
Jebakumar Immanuel D, E.P. Prakash, Dhanapal R, Aby K Thomas, K. Karthikeyan, and P. Poovizhi
IEEE
The detection and maintenance of the pathway from the source to the destination or from one node to another node is the major role played by the nodes in the MANET. During their period, nodes arrive or leave the network, and endlessly modify their comparative location. The dynamic nature introduces several security issues. Secure routing protocol is a significant area for attaining better security in the network by keeping the routing protocols against attacks. Thus, this research work focuses on developing a secure routing protocol for MANET. Here, a dynamic anomaly detection scheme has proposed to detect against malicious attacks in the network. This scheme has been incorporated with AODV protocol to enhance the performance of AODV in disseminating packets to target node. In this research work Protected AODV (PAODV) is protocol is introduced to identify the false alarm node in the network and route path for reliable communication between the source to destination. Simulation results it shows the detection rate, Packet drop rate and delay is minimized compare to the existing technique.
T. N. Prabhu, K. Karuppasamy, E. P. Prakash, and K. Karthikeyan
Springer International Publishing