ORCID Identifier(s)

0000-0001-5621-8664

Graduation Semester and Year

2020

Language

English

Document Type

Thesis

Degree Name

Master of Science in Computer Engineering

Department

Computer Science and Engineering

First Advisor

Mohammad Dr. ISLAM

Second Advisor

Ming Dr. Li

Third Advisor

David Dr. Levine

Abstract

In modern times, the need for latency sensitive applications is growing rapidly. Cloud computing infrastructure is unable to provide support to such delay sensitive applications. Therefore, a new paradigm called edge computing has emerged. In edge computing various paradigms like Fog, Cloudlet, Mobile Edge Computing, etc. provide real-time, location aware services to users. As a result number of requests are generated for processing in the edge servers. If these edge servers for some reason become unavailable for providing service, users will not be able to perform their delay sensitive or location aware operations. Like other servers in the network, edge servers can also become vulnerable to various security attacks. Among other security attacks, Distributed Denial of Service (DDoS) attack can be very threatening for edge servers. Capacity of edge servers compared to traditional servers is limited. Therefore, the effort needed to overwhelm the edge server will be smaller, on the other hand, the impact of DDoS attacks on edge servers will be dreadful. Importance of a proper functioning of edge servers is immense for providing uninterrupted support to the users. Therefore, some kind of recovery methods is needed to recover an overloaded edge server. Present state-of-art mentions some such recovery methods for the edge servers so that they can provide continuous services.

Keywords

Security, DDoS, Edge computing

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

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