SearcharxivSearch

arXiv subjects

Amor Lazzez

Publications and source records attributed to Amor Lazzez.

5 recordsLinked to original sources

Efficient Analysis of Pattern and Association Rule Mining Approaches

The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining has been a focused topic in data mining research with a good number of references in literature and for that reason an important progress has been made, varying from performant algorithms for frequent itemset mining in transaction databases to complex algorithms, such as sequential pattern mining, structured pattern mining, correlation mining. Association Rule mining (ARM) is one of the utmost current data mining techniques designed to group objects together from large databases aiming to extract the interesting correlation and relation among huge amount of data. In this article, we provide a brief review and analysis of the current status of frequent pattern mining and discuss some promising research directions. Additionally, this paper includes a comparative study between the performance of the described approaches.

cs.DB

VoIP Technology: Security Issues Analysis

Voice over IP (VoIP) is the technology allowing voice and multimedia transmissions as data packets over a private or a public IP network. Thanks to the benefits that it may provide, the VoIP technology is increasingly attracting attention and interest in the industry. Actually, VoIP allows significant benefits for customers and communication services providers such as cost savings, rich media service, phone and service portability, mobility, and the integration with other applications. Nevertheless, the deployment of the VoIP technology encounters many challenges such as architecture complexity, interoperability issues, QoS issues, and security concerns. Among these disadvantages, VoIP security issues are becoming more serious because traditional security devices, protocols, and architectures cannot adequately protect VoIP systems from recent intelligent attacks. The aim of this paper is carry out a deep analysis of the security concerns of the VoIP technology. Firstly, we present a brief overview about the VoIP technology. Then, we discuss security attacks and vulnerabilities related to VoIP protocols and devices. After that, we talk about the security profiles of the VoIP protocols, and we present the main security components designed to help the deployment of a reliable and secured VoIP systems.

cs.NI

Deployment of VoIP Technology: QoS Concerns

Voice over IP (VoIP) is an emerging communication service allowing voice transmission over a private or a public IP network. VoIP allows significant benefits for customers and service providers including cost savings, phone and service portability, mobility, and the integration with other applications. Nevertheless, the deployment of the VoIP technology encounters many challenges such as interoperability issues, security issues, and QoS concerns. Among these disadvantages, QoS issues are considered the most serious due to the QoS problems that may arise on IP networks, and the stringent QoS requirements of voice traffic. The aim of this paper is carry out a deep analysis of the QoS concerns of the VoIP technology. Firstly, we present a brief overview about the VoIP technology. Then, we discuss the QoS issues related to the use of the IP networking technology for voice traffic transmission. After that, we present the QoS concerns related voice clarity. Finally, we present the QoS mechanisms proposed to make the IP technology able to support voice traffic QoS requirements in terms of voice clarity, voice packet delay, packet delay variation, and packet loss.

cs.NI

Sequential Mining: Patterns and Algorithms Analysis

This paper presents and analysis the common existing sequential pattern mining algorithms. It presents a classifying study of sequential pattern-mining algorithms into five extensive classes. First, on the basis of Apriori-based algorithm, second on Breadth First Search-based strategy, third on Depth First Search strategy, fourth on sequential closed-pattern algorithm and five on the basis of incremental pattern mining algorithms. At the end, a comparative analysis is done on the basis of important key features supported by various algorithms. This study gives an enhancement in the understanding of the approaches of sequential pattern mining.

cs.DB

IAX-Based Peer-to-Peer VoIP Architecture

Nowadays, Voice over IP (VoIP) constitutes a privileged field of service innovation. One benefit of the VoIP technology is that it may be deployed using a centralized or a distributed architecture. One of the most efficient approaches used in the deployment of centralized VoIP systems is based on the use of IAX (Inter-Asterisk Exchange), an open-source signaling/data exchange protocol. Even though they are currently widely used, client-server VoIP systems suffer from many weaknesses such as the presence of single points of failure, an inefficient resources management, and system non-scalability. In order to help the development of scalable and reliable VoIP systems, the development community starts tending towards the deployment of the VoIP service using a peer-to-peer distributed architecture. The aim of this paper is to develop an IAX-based peer-to-peer VoIP architecture, an optimized VoIP architecture that takes advantage of the benefits of the IAX protocol and those of the peer-to-peer distribution model.

cs.NI