Informatics Publishing Limited

J. Amudhavel ¹, V. Brindha ¹, B. Anantharaj ², P. Karthikeyan ¹, B. Bhuvaneswari ³, M. Vasanthi ¹, D. Nivetha ¹, D. Vinodha ⁴

Affiliations
1 Department of CSE, SMVEC, Pondicherry - 605107, Tamil Nadu, IN
2 Department of CSE, TCET, Vandavasi - 627425, Tamil Nadu, IN
3 Department of CSE, Pondicherry University, Pondicherry - 605014, Tamil Nadu, IN
4 Department of CSE, SMVEC, Pondicherry - 605107, Tamil Nadu

Abstract

Background/Objectives: To analyze and monitoring the activity of nodes using an IDS Intrusion Detection System which provide security to the system. Findings: In this research, a network building was made with simple node formation with a fitting technique. So that it is easy for a user or beginner to understand the asymptotic dominion factors, due to the wide growth of nodes on network. Intrusion detection system is made of several nodes. These nodes are grouped and combined as a network. Since each node in a network has unique characteristics they may have high chance of attack from malware during the communication between systems. Applications/Improvements: Network of topology is done by creating and connecting various sub networks. Sub networks traffic is cleared and monitored with the package of IDS. It works on synchronous message transfer mode which provides acknowledgement to sender and receiver. All sub networks is managed by its corresponding system and further provide update to the master node on the network. Due to this broadcast of messages all other nodes may be in safe state of avoidance from attacker.

Keywords

Ad-Hoc Network, Conversation Exchange Dynamics, Intrusion Detection System, Intrusion Prevention System, Network Security

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J. Amudhavel ¹, R. Vigneshwaran ¹, A. Janakiram ¹, S. Jarina ¹, K. Prem Kumar ¹, B. Anantharaj ², D. Sathian ³

Affiliations
1 Department of CSE, SMVEC, Pondicherry - 605107, IN
2 Department of CSE, TCET, Vandavasi - 604505, Tamil Nadu, IN
3 Department of CSE, Pondicherry University, Pondicherry - 605014, IN

Abstract

Background/Objectives: To analyze the Quality of Service in Cloud Computing and improve its services in the cloud environment. Method/Statistical Analysis: With the increasing use of services in cloud environment needs the improvements in the Quality of Services (QoS). Most cloud providers support Qos and it attract the customers due to its services. The Quality of Service (QoS) in cloud making the services efficient in the shared or distributed infrastructure and some companies are providing the cloud services are Microsoft, Amazon, Google and IBM.The use of Quality of Services based on the three approaches is comparison, evaluation and trustworthiness of the services to be analyzed and the QoSalso analyzed with the help of scheduling algorithms. Findings: Cloud services have some problems in which the data stored in cloud are not secure and occurrence of network dependency. The QoScan be decided for the services are based on the set of parameters such speed of the performance, processing, storage,memory allocation, security, functions, service response time and total throughput. The Quality of Services can be predicted based on the workflow model and the ranking prediction approaches. Applications/Improvements: The result observed from this work will serve as the motivation to improve the quality of service in cloud environment. The service response time and total throughput improvement will improve the QoS of cloud services.

Keywords

Integer Linear Programming, QoS, Reference Net Based Workflow, Taverna, TBB.

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