Combining Case-Based Reasoning with Complex Event Processing for Network Traffic Classification

被引：0

作者：

Grob, Manuel ^{[1
]}

Kappes, Martin ^{[1
]}

Medina-Bulo, Inmaculada ^{[2
]}

机构：

[1] Frankfurt Univ Appl Sci, Nibelungenpl 1, D-60318 Frankfurt, Germany

[2] Univ Cadiz, Avda Univ Cadiz 10, Puerto Real 11519, Spain

来源：

CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2018 | 2018年 / 11156卷

关键词：

Traffic classification; CEP; CBR;

D O I：

10.1007/978-3-030-01081-2_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present an approach for combining Case-based Reasoning (CBR) and Complex Event Processing (CEP) in order to classify network traffic. We show that this combination has a high potential to improve existing classification methods by enriching the stream processing techniques in CEP with the capability of historic case reuse in CBR by continuously analysing the application layer data of network communication.

引用

页码：110 / 123

页数：14

共 14 条

[1] Stream reasoning and complex event processing in ETALIS [J].

Anicic, Darko ;

Rudolph, Sebastian ;

Fodor, Paul ;

Stojanovic, Nenad .

SEMANTIC WEB, 2012, 3 (04) :397-407

[2]

[Anonymous], 2013, P 9 ADV INT C TELECO

[3]

[Anonymous], 2012, P 2 INT WORKSH AD SE

[4]

Bernaille L., 2006, C FUTURE NETWORKING, P6

[5]

Chung JY, 2009, LECT NOTES COMPUT SC, V5843, P65, DOI 10.1007/978-3-642-04968-2_6

[6]

EsperTech Inc., ESP REF DOC

[7]

Gad R., 2012, 7 JORN CIENC ING SER

[8]

Gay P., 2011, P 16 UK WORKSH CAS B, P46

[9]

IANA, 2018, SERV NAM TRANSP PROT

[10]

ITU Telecommunication Standardization Sector, 1994, INF TECHN OP SYST IN, DOI [11.1002/1000/2820, DOI 11.1002/1000/2820]

← 1 2 →