Performance of “VCPHCF-RTT” Security Agent in Private Virtual Cloud Infrastructure
Ritu Maheshwari1, Anil Rajput2, Anil K. Gupta3
1Ms. Ritu Maheshwari, Department of Computer Science, Barkatullah University, Bhopal (Madhya Pradesh), India.
2Dr. Anil Rajput, Department of Mathematics, CSA Govt. PG Nodal College, Sehore, Bhopal (Madhya Pradesh), India.
3Dr. Anil K. Gupta, Department of Computer Science, Barkatullah University, Bhopal (Madhya Pradesh), India.
Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 17-24 | Volume-7 Issue-4, November 2018 | Retrieval Number: D1786097418©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud Security issue is one of the biggest challenges that hampers the growth of Cloud for its various service provisioning. An on-demand access to a shared pool of computing resources in the cloud is the major service provisioning that involves delivering hosted services over the Internet. Security of Private Virtual Cloud Infrastructure will be proposed against IP-Spoofing based DDoS Attacks using Private Virtual Cloud Infrastructure Model. Virtualization Enhancement will be done in Cloud using proposed Security Agent VCPHCF-RTT. Performance Parameters will be analysed after introspection to cloud security techniques to resolve focussed Research Problem Issues and Challenges. VCPHCF-RTT improves the efficiency of the probability based Hop Count Filtering technique using HCF at intermediate nodes between the Virtual Machines of Client VM and Server VM along with RTT. It reduces the probability of guessing the RTT and VCHCF parameter values both at the intermediate routers by the attackers. The robustness of VCPHCF-RTT has been shown in this paper against CHCF and PHCF techniques.
Keywords: Distributed Denial of Service (DDoS), Clouds, Virtual Machines (VM), Filter, Hop Count Filtering (HCF), Time-to-live (TTL), Virtual Cloud Probabilistic Hop Count Filtering using Round Trip Time (VCPHCF-RTT).
Scope of the Article: Mobile App Plant Cyber Security