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Flow-based Features for a Robust Intrusion Detection System Targeting Mobile Traffic
MUST University, 6th of October.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-3800-0757
Minia University, Egypt.
Antal upphovsmän: 32016 (Engelska)Ingår i: 23rd International Conference on Telecommunications (ICT): Thessaloniki, 16-18 May 2016, Piscataway, NJ: IEEE Communications Society, 2016, artikel-id 7500483Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The security risks and threats that impact wired and wireless networks are now applicable to mobile telecommunication networks. Threat detection systems should be more intelligent because threats are becoming more dangerous. An intrusion detection system (IDS) is a potential network security solution for protecting the confidentiality, integrity, and availability of user data and information resources. A fast and effective IDS for mobile networks that does not violate the user's privacy or the network's QoS is required. This paper offers a set of flow-based features that can be utilized for mobile network traffic as a prerequisite for a privacy-aware and QoS-robust IDS. The principal component analysis (PCA) method was used for reduction of the features. Twelve features in six groups, which represent the user data in mobile traffic, were extracted and evaluated for IDSs. The evaluation process achieved a F-measure weighted average equal to 0.834, and the experimental time was equal to 12.9 seconds. The accomplished measurements have demonstrated the applicability of the proposed set of features.

Ort, förlag, år, upplaga, sidor
Piscataway, NJ: IEEE Communications Society, 2016. artikel-id 7500483
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Forskningsämne
Informationssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-37765DOI: 10.1109/ICT.2016.7500483ISI: 000386851600141Scopus ID: 2-s2.0-84979247614Lokalt ID: be286f1a-0047-4404-b754-f9b6d3ed9f3eISBN: 9781509019908 (digital)OAI: oai:DiVA.org:ltu-37765DiVA, id: diva2:1011263
Konferens
International Conference on Telecommunications : Special Session on IoT Emerging Technologies: Design and Security (ITEMS'16) 16/05/2016 - 18/05/2016
Anmärkning

Validerad; 2016; Nivå 1; 2016-11-25 (andbra)

Tillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2018-07-10Bibliografiskt granskad

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Förlagets fulltextScopushttp://ict-2016.org/

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Awad, Ali Ismail

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