A New Similarity Measure for the Anomaly Intrusion Detection

Belkhirat, Ahmed; Bouras, Abdelghani; Belkhir, Abdelkader

doi:10.1109/nss.2009.20

Cited by 9 publications

(11 citation statements)

References 10 publications

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“…Smax is the maximum value which can be obtained by the similarity measure. Several similarity measures were proposed in various applications fields, we cite: -Similarity for textual data [27]; -Similarity for intrusion detection [28]; -Similarity for Web services [29].…”

Section: H the Recommendation Modulementioning

confidence: 99%

MyRestaurant: A Smart Restaurant with a Recommendation System

al.¹

2019

IJCDS

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In this paper, we discuss, in an internet of things environment, our solution regarding context management in the area of food services. We propose a system that automates the different services offered in a restaurant and connects the various equipment of this restaurant, in order to simplify and facilitate the work of employees using this system. We also have integrated a content-based recommendation module, that is based on the use of a similarity measure to keep track of the client order history in order to suggest or recommend to him similar dishes for his next orders.

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Section: H the Recommendation Modulementioning

confidence: 99%

MyRestaurant: A Smart Restaurant with a Recommendation System

al.¹

2019

IJCDS

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“…Besides this general form, there are also other forms of similarity measures such as binary data [14,15,17] as those given in table 2. To review and evaluate the effect of binary similarity measures, we will illustrate all the similarity measures in an example as follows: Consider a set of 16 objects (A1, A2, .…”

Section: Similarity Measurementioning

confidence: 99%

“…The context is defined by the activity model, the developer and team development [2,3,13]. It is interesting to have an operator to assess the similarities within the handled data; this operator is the similarity function [13,14,15,16]. The numerical similarity measures turn out to be extremely flexible employment.…”

Section: Introductionmentioning

confidence: 99%

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A Similarity Measure for Categorizing the Developers Profile in a Software Process

Khemissa

Mohamed

Belkhir³

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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“…Several similarity measures were proposed in various applications fields like similarity for textual data [29,30], similarity for intrusion detection [31] and similarity for Web services discovery [14].…”

Section: The Qsim Similarity Measurementioning

confidence: 99%

A Service Discovery Approach Based on a Quantitative Similarity Measure for M-Tourism Platforms

Bouyakoub¹,

Belkhir²

2012

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This paper presents a localization architecture for an m-tourism services delivery platform. The aim of the system is to deliver services for nomads (e-tourists) according to their localization and according to the results given by the search engine. This engine is based on a quantitative similarity measure. The discovered services are presented via a Web Map Service. Moreover, the platform integrates an adaptation sub-system for heterogeneous environments and an e-negotiation module

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A New Similarity Measure for the Anomaly Intrusion Detection

Cited by 9 publications

References 10 publications

MyRestaurant: A Smart Restaurant with a Recommendation System

MyRestaurant: A Smart Restaurant with a Recommendation System

A Similarity Measure for Categorizing the Developers Profile in a Software Process

A Service Discovery Approach Based on a Quantitative Similarity Measure for M-Tourism Platforms

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