Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach

Pokhrel, SR; Sood, K; Yu, S; Nosouhi, MR

Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach

Pokhrel, SR Sood, K Yu, S

Nosouhi, MR

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019, 2019, pp. 73-78
Issue Date:: 2019-04-01

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Field	Value	Language
dc.contributor.author	Pokhrel, SR
dc.contributor.author	Sood, K
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Nosouhi, MR
dc.date	2019-04-29
dc.date.accessioned	2020-06-20T22:36:27Z
dc.date.available	2020-06-20T22:36:27Z
dc.date.issued	2019-04-01
dc.identifier.citation	INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019, 2019, pp. 73-78
dc.identifier.isbn	9781728118789
dc.identifier.issn	2159-4228
dc.identifier.uri	http://hdl.handle.net/10453/141588
dc.description.abstract	© 2019 IEEE. With the explosive growth of Internet of Things (IoT) using WiFi networks along with their huge data flows (especially Bigdata using TCP connections), the significant challenges are the application performance and network security. Bigdata comes in form of varying volume, velocity, etc. and is very challenging to manage with traditional networks. Therefore, we advocate Software-defined networking (SDN) paradigm in this paper. Using SDN, firstly, from security perspective, we are able to diagnose Bigdata TCP streams that may come from both attack or non-attack sources. Secondly, when the Bigdata TCP streams come from legitimate sources, SDN can help in maintaining Quality of Service (QoS) to particular flow or application. In this paper, we have proposed a Policy-based framework that maintains the security as well the flow specific QoS requirement in SDN enabled IoT network. In our network settings, we proposed an algorithm at WiFi Access Point (AP) or at network edge router, to learn the incoming traffic from different Things and then takes appropriate action/s based on the policies in place. A mathematical model is developed considering TCP CUBIC streams over WiFi networks to understand and evaluate our idea. Our extensive simulation results demonstrate how we jointly enhance the security and effectively maintain the desired QoS of the streams in real time.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
dc.relation.ispartof	IEEE Conference on Computer Communications Workshops
dc.relation.isbasedon	10.1109/INFCOMW.2019.8845234
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach
dc.type	Conference Proceeding
utslib.location.activity	Paris, France
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-20T22:36:24Z
pubs.finish-date	2019-05-02
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2019-04-29
dc.location	Piscataway, USA

Abstract:

© 2019 IEEE. With the explosive growth of Internet of Things (IoT) using WiFi networks along with their huge data flows (especially Bigdata using TCP connections), the significant challenges are the application performance and network security. Bigdata comes in form of varying volume, velocity, etc. and is very challenging to manage with traditional networks. Therefore, we advocate Software-defined networking (SDN) paradigm in this paper. Using SDN, firstly, from security perspective, we are able to diagnose Bigdata TCP streams that may come from both attack or non-attack sources. Secondly, when the Bigdata TCP streams come from legitimate sources, SDN can help in maintaining Quality of Service (QoS) to particular flow or application. In this paper, we have proposed a Policy-based framework that maintains the security as well the flow specific QoS requirement in SDN enabled IoT network. In our network settings, we proposed an algorithm at WiFi Access Point (AP) or at network edge router, to learn the incoming traffic from different Things and then takes appropriate action/s based on the policies in place. A mathematical model is developed considering TCP CUBIC streams over WiFi networks to understand and evaluate our idea. Our extensive simulation results demonstrate how we jointly enhance the security and effectively maintain the desired QoS of the streams in real time.

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http://hdl.handle.net/10453/141588