Performance Evaluation of Secure Data Transmission Mechanism (SDTM) for Cloud Outsourced Data and Transmission Layer Security (TLS)

Author:

Alhaj Abdullah A.1

Affiliation:

1. Faculty of Information Technology and Systems, The University of Jordan-Aqaba Branch, Aqaba, Jordan

Abstract

The Cloud has become a significant topic in computing; however, the trend has established a new range of security issues that need to be addressed. In Cloud, the data and associated software are not under their control. In addition, with the growing demands for Cloud networks communication. With the increasing demand for computer communications the need for security is growing dramatically. The existing research related to security mechanisms focuses on security of the data transmission in the communication networks only. The authors developed specific Secure Data Transmission Mechanism (S SDTM) for cloud outsourced data is a set of technologies and solutions to enforce security policy and bandwidth compliance on all devices seeking to access network computing resources, in order to limit damage from emerging security threats and to allow network access only to compliant and trusted endpoint devices. IPSec is a suite of protocols that adds security to communications at the IP level. Protocols within the IPSec suite make extensive use of cryptographic algorithms. Since these algorithms are computationally sophisticated, some hardware accelerators are needed to support high throughput. In this paper, the authors compare between secure data transmission mechanism for cloud outsourced data with preemption control algorithm and TLS to improve the properties of the S SDTM and the Virtual Private Networks (VPN) built with both protocols.

Publisher

IGI Global

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Secured Real Time Scheduling Model for Cloud Hypervisor;Cloud Security;2019

2. A Secured Real Time Scheduling Model for Cloud Hypervisor;International Journal of Cloud Applications and Computing;2016-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3