An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks

Mehrnoosh Monshizadeh; Vikramajeet Khatri; Raimo Kantola

doi:10.23919/INM.2017.7987395

An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Raimo Kantola

Nokia Bell Labs

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

10 Sitaatiot (Scopus)

Abstrakti

The forthcoming 5G cloud networks will utilize software defined networking (SDN) and network functions virtualization (NFV) to provide new services. However, applying these technologies introduce new threats to network. To detect the security attacks and malicious traffic both on end user and cloudified mobile network, we apply centralized monitoring and combine dynamicity and programmability of SDN, traffic filtering capabilities of IDS and clustering mechanisms for load balancing. We discuss and demonstrate an adaptive detection and prevention architecture for SDN enabled mobile networks.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management
Kustantaja	IEEE
Sivut	883-884
Sivumäärä	2
ISBN (elektroninen)	9783901882890
DOI - pysyväislinkit	https://doi.org/10.23919/INM.2017.7987395
Tila	Julkaistu - 20 heinäk. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFIP/IEEE International Symposium on Integrated Network and Service Management - Lisbon, Portugali Kesto: 8 toukok. 2017 → 12 toukok. 2017 Konferenssinumero: 15

Conference

Conference	IFIP/IEEE International Symposium on Integrated Network and Service Management
Lyhennettä	IM
Maa/Alue	Portugali
Kaupunki	Lisbon
Ajanjakso	08/05/2017 → 12/05/2017

Pääsy asiakirjaan

10.23919/INM.2017.7987395

Muut tiedostot ja linkit

Link to publication in Scopus

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@inproceedings{c77fe7a3aca64415b555a0286f6dce93,

title = "An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks",

abstract = "The forthcoming 5G cloud networks will utilize software defined networking (SDN) and network functions virtualization (NFV) to provide new services. However, applying these technologies introduce new threats to network. To detect the security attacks and malicious traffic both on end user and cloudified mobile network, we apply centralized monitoring and combine dynamicity and programmability of SDN, traffic filtering capabilities of IDS and clustering mechanisms for load balancing. We discuss and demonstrate an adaptive detection and prevention architecture for SDN enabled mobile networks.",

keywords = "Anomaly Detection, Cloud, Controller, Detection as a Service, IDS, SDN, Security",

author = "Mehrnoosh Monshizadeh and Vikramajeet Khatri and Raimo Kantola",

year = "2017",

month = jul,

day = "20",

doi = "10.23919/INM.2017.7987395",

language = "English",

pages = "883--884",

booktitle = "Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management",

publisher = "IEEE",

address = "United States",

note = "IFIP/IEEE International Symposium on Integrated Network and Service Management, IM ; Conference date: 08-05-2017 Through 12-05-2017",

}

Monshizadeh, M, Khatri, V & Kantola, R 2017, An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks. julkaisussa Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management., 7987395, IEEE, Sivut 883-884, IFIP/IEEE International Symposium on Integrated Network and Service Management, Lisbon, Portugali, 08/05/2017. https://doi.org/10.23919/INM.2017.7987395

An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks. / Monshizadeh, Mehrnoosh; Khatri, Vikramajeet; Kantola, Raimo.
Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management. IEEE, 2017. s. 883-884 7987395.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks

AU - Monshizadeh, Mehrnoosh

AU - Khatri, Vikramajeet

AU - Kantola, Raimo

N1 - Conference code: 15

PY - 2017/7/20

Y1 - 2017/7/20

N2 - The forthcoming 5G cloud networks will utilize software defined networking (SDN) and network functions virtualization (NFV) to provide new services. However, applying these technologies introduce new threats to network. To detect the security attacks and malicious traffic both on end user and cloudified mobile network, we apply centralized monitoring and combine dynamicity and programmability of SDN, traffic filtering capabilities of IDS and clustering mechanisms for load balancing. We discuss and demonstrate an adaptive detection and prevention architecture for SDN enabled mobile networks.

AB - The forthcoming 5G cloud networks will utilize software defined networking (SDN) and network functions virtualization (NFV) to provide new services. However, applying these technologies introduce new threats to network. To detect the security attacks and malicious traffic both on end user and cloudified mobile network, we apply centralized monitoring and combine dynamicity and programmability of SDN, traffic filtering capabilities of IDS and clustering mechanisms for load balancing. We discuss and demonstrate an adaptive detection and prevention architecture for SDN enabled mobile networks.

KW - Anomaly Detection

KW - Cloud

KW - Controller

KW - Detection as a Service

KW - IDS

KW - SDN

KW - Security

UR - http://www.scopus.com/inward/record.url?scp=85029424622&partnerID=8YFLogxK

U2 - 10.23919/INM.2017.7987395

DO - 10.23919/INM.2017.7987395

M3 - Conference article in proceedings

AN - SCOPUS:85029424622

SP - 883

EP - 884

BT - Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management

PB - IEEE

T2 - IFIP/IEEE International Symposium on Integrated Network and Service Management

Y2 - 8 May 2017 through 12 May 2017

ER -

An adaptive detection and prevention architecture for unsafe traffic in SDN enabled mobile networks

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