Notice Board :

Call for Paper
Vol. 6 Issue 11

Submission Start Date:
Nov 01, 2019

Acceptence Notification Start:
Nov 10, 2019

Submission End:
Nov 15, 2019

Final MenuScript Due:
Nov 28, 2019

Publication Date:
Nov 30, 2019
                         Notice Board: Call for PaperVol. 6 Issue 11      Submission Start Date: Nov 01, 2019      Acceptence Notification Start: Nov 10, 2019      Submission End: Nov 15, 2019      Final MenuScript Due: Nov 28, 2019      Publication Date: Nov 30, 2019




Volume V Issue III

Author Name
Srashtika Gupta, Mr. Mubeen A. Khan
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 3
Abstract
Cloud computing is a popular subject across the IT industry, but risks associated with this new technology and delivery model is not yet well understood. Because of the attractive features of cloud computing many organizations are using cloud storage for storing their critical information. The data can be stored remotely in the cloud by the users and can be accessed using clients as and when required. This technology provides services with one of the three service models: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). This model allows users and organizations to share their vital information, crucial computing resources across the world. Securing these essential resources from the unauthorized access of the users is one of the major issues which leads to reduce the growth of this technology in the Information Technology (IT) Industries.
PaperID
2018/IJTRM/3/2018/11649

Author Name
Dr. Upendra Singh Panwar
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 3
Abstract
Purpose: The aim of this research paper is to compare perceptions of bank service quality dimensions among Indian and Thai customers, and to determine perception differences of service quality dimensions in both countries. Design/methodology/approach: Data were collected using SERVQUAL (Perception) scale of Parasuraman, Zeithml, and berry 1986, 1988) from two convenience samples of bank customers (101 in India and 101 in Thailand). Service quality was measured using the five SERVQUAL dimensions of Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Data were analyzed using Normality, Reliablity and ANOVA.
PaperID
2018/IJTRM/3/2018/11650

Author Name
Avani Trivedi, Dr. Dhanraj Verma
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 3
Abstract
Management Information Systems (MIS) is the key factor to facilitate and achieve efficient decision making in an organization. This research explores the extent to which management information systems implemented to make successful decisions at BPO’s companies. The research examined whether the selected BPO’s companies of Madhya Pradesh vary as to the use of Management Information Systems leadership of decision making for strategic planning purposes. The research adapted the quantitative research design to examine two research hypotheses. A total of 160 forms were equally distributed to those who are working at different management levels at the selected organizations. The results of the research showed that MIS control was primarily used to enhance strategic planning in BPO’s companies. The regression analysis revealed that Tactical planning is found to have no effect on Decision Making, while Strategic planning has a clear effect on the Decision Making Effectiveness in BPO’s companies.
PaperID
2018/IJTRM/3/2018/11651

Author Name
Yogadhar Pandey, Prof. Shailendra Singh
Year Of Publication
2018
Volume and Issue
Volume 5 Issue 3
Abstract
Network-based intrusion detection systems (NIDS) have become important and widely used tools for ensuring network security. Processing huge amount of audit data is a challenging task for NIDS, because these data contains large amount of irrelevant or redundant features. To improve the accuracy and efficiency of NIDS, relevant features are essential to be extracted from original dataset with the help of feature selection methods. This paper proposes reduced feature selection algorithm (RFSA) an efficient feature selection approach for network based intrusion detection system. The RFSA gives better detection rate, accuracy and false alarm rate when compared to full feature set. RFSA also outperform when compared with the existing algorithms. Empirical results endorse the overall performance and accuracy of the system. This work uses KDD99 dataset for the evaluation of the experiments.
PaperID
2018/IJTRM/3/2018/11652