Adaptive Spam Email Detection using Support Vector Machines (SVMs)
Authors :- Javad Hosseinkhani, Mohsen Nematollahi, Mohammad Akhlaghpour, Horiyeh Heydari Sadegh, Zeynab Sayad Arbabi, Ehsan Ahrari
Keywords :- Spam Detection, Email Classification, Support Vector Machine (SVN)
Published Online :- 01 December 2016
[accordionitem]Today, many spam attempts to make difficulty with email connections. In this article we try to expose a way regarding spam identification based on Support Vector Machines (SVMs). Based on this method on delivery email three steps should be occur first of all a reoperation then flowing data. In operation step the user is sending an email preprocess is done by data miner system. The number of training information apply with window based solution will be selected with default, W=100, the first 100 data would be used as training category. Each delivery email input to SVM to be sorted in to 2 predetermined categories named: Non spam, and Spam. An algorithm is written that 4 different types of time window in order to SVM training is selected (100,200,500 and all the preset data or open window). The criteria for assessing include accuracy rate, recall, and precision rate. The results show that the techniques that some specialists have some criticisms to it.[/accordionitem] [/cq_vc_accordion]
 Matsumoto, R., Zhang, D., & Lu, M. (2004, November). Some empirical results on two spam detection methods. In Information Reuse and Integration, 2004. IRI 2004. Proceedings of the 2004 IEEE International Conference on (pp. 198-203). IEEE.
Off-Body Performance in a WBAN over an Underground Mine
Authors :- Moulay El Azhari, Mourad Nedil, Yassine Salih-Alj, Larbi Talbi, Ismail Ben Mabrouk, Khalida Ghanem
Keywords :- Channel Capacity, Off-body Channel, SISO, WBAN
Published Online :- 01 December 2016
[accordionitem]The impact of a peculiar confined environment (i.e., underground mine) on the characteristics of the WBAN (Wireless Body Area Network) channel is evaluated in this article. Channel characteristics of WBAN are different from those of other wireless channels, especially in the presence of shadowing obstacles at Non-Line-of-Sight (NLOS). Moreover, directive antennas could be used for off-body communications as a mean to minimize the interaction with human body. Hence, in this study, the off-body performance of a singleinput single-output (SISO) system was evaluated in Non-Line-of-Sight (NLOS) situations and compared with Line of Sight (LOS) measurements, at the 2.45 GHz band, for two antenna setups. Experimental results of the Rician k-factor, RMS delay spread, and path loss are obtained and discussed from measurements conducted at an underground mine gallery with Patch and Omnidirectional antennas. The results show that the average value of the Rician k-factor generally increases with distance, due to an increased multipath energy losses compared to the LOS energy loss. Moreover, the path loss exponent decreases at NLOS while the path loss values are increased due to human shadowing obstacle. The channel capacity is decreased at NLOS and as we increase the distance, due to the path loss effect. Directivity did not have a significant impact on the channel parameters. [/accordionitem] [/cq_vc_accordion]
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Proposing a Mechanism to Improve Web Usage Mining Automatically using Semantic Repository of the Data
Authors :- Azizollah Ghazi and Javad Hosseinkhani
Keywords :- Web Mining Application, User Profile, Source of Lexical Meaning, Automated Modeling
Published Online :- 22 September 2016
[accordionitem]Users encounter with some troubles finding the information they need to access easily at the right time because on the one hand they need to examine the relevance of each page with their needs and on the other hand must assess reliability of pages. In recent decades retrieval systems and search engines have been created to fix this problem which index the content of web pages and pages relevant to the user query will be returned. Burdensome of information in current web is a major problem. Personalization systems were provided to deal with this problem which compatible the content and services of a web site based on interests and behavior of people. An essential element in any web personalization system is its user model. The content of web page can be used to create more precise models of the user , but approaches based on key words does not have a deep understanding of website . Nevertheless, manually creating a hierarchy of concepts is time-consuming and costly. On the other hand the public literal meaning resources are suffering from low coverage of specific phrases for domains. In this article we’re going to resolve both of these defects. Our main achievement is providing a mechanism to improve the user views automatically in Web site using a comprehensive lexical meaning source. We are using today’s largest encyclopedia Wikipedia as a rich source for meanings to improve automated modeling manufacture of user’s interests. The proposed architecture includes a number of components that include: pre-primary processing, mining concepts website domain, extracting keywords from web site, creator of keywords vector and key words mapping to concepts. Another important achievement is using the structure of website to limit specific concepts of the domain.[/accordionitem] [/cq_vc_accordion]
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Increased diagnostic accuracy in social networking communities using clustering method
Authors :- Farzaneh Javid and Javad Hosseinkhani
Keywords :- Web Mining , Social Networks, Clustering, Link Analysis and Accuracy
Published Online :- 01 September 2016
Clustering is one of the best ways to work with data provided. Clustering is one of the learning branches unsupervised and is an automated process in which samples are divided into categories whose members are similar to each other. A hierarchical clustering is a kind of traditional algorithm which follows the structure of society in social networks and on the basis of similarity or strength of the connection between each node; the entire network is divided into several subgroups. The advantage of community detection methods is based on the hierarchical clustering in which methods data is not necessary to be available already about the optimum number of communities and algorithms will be able to determine the optimum number of communities. The proposed method is a method based on hierarchical clustering which is able to identify overlapping communities. The main purpose of the community detection is to put similar nodes in a cluster with each other. Therefore, the nodes in a cluster share the same characteristics and the relationship between nodes within each cluster is denser from the connection of nodes between different clusters. The proposed method has been used for clustering the concept of the centrality of interstitial ridge. As well as to identify nodes that belong to two different societies, the criterion of the centrality of a node is used. Also the performance of the method proposed was compared with two methods previously proposed in terms of two criterions, Modularity and NMI, to detect communities. Simulation results showed the proper functioning of the proposed method. [/accordionitem] [/cq_vc_accordion]
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A New Cloud Infrastructure Approach For Higher Education Institutions
Authors :- Nouhad Amaneddine
Keywords :- Virtualization, Cloud, Cloud Computing, Distributed Computing, IaaS
Published Online :- 01 June 2016
[accordionitem]Information Technology (IT) is playing a vital role in the modern educational system especially in higher education sectors. Higher education institutions are challenged to adopt latest IT resources due to the increasing competitive pressures from the competitors leading to offer new services required by these institutions. The implementation of physical networking infrastructure with advanced equipments in computer laboratories is difficult to achieve using the accessible resources in most of the higher education institutions. One of the distributed computing solutions “Service Oriented Architecture (SOA)” technologies creates possibilities for the purpose of establishing new learning methodologies and will reach to a more deep rooted education. The emergence of cloud and virtual computing has grown globally and solved the problem of the limited resources by reducing direct expenses of IT. In this paper, we evaluate the possibility of enhancing students’ performance, particularly, students working on their graduation projects by using cloud infrastructure implementation. In addition, this paper proposes a new approach to provide a solution for virtual labs using a Private Cloud. This will include various features and services of a Typical Cloud environment without any change to the existing basic services in the institution and will add flexibility to include any services in the network without having any extra effort of Network Management.[/accordionitem] [/cq_vc_accordion]
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Social Mobile Authentication in Pervasive Environment
Authors :- Mohamed Es Fih and Suhaimi Ibrahim
Keywords :- Authentication, mobile commerce, mobile banking, mobile payment
Published Online :- 01 June 2016
[accordionitem]There is a common understanding in the mobile phone industry that smartphones are now the majority type of phone in use in the market. This understanding has to be confronted to the reality on the ground especially in developing countries. Although smartphones make the majority of the current sales, there are facts that demonstrate that smartphones are not yet the predominant device. Studies have shown that Android phones are used as dumb-phones which in effect or practice makes the phones as good as featured phone. Other references give us statistics as to the sales of smartphones vs. featured phones in the last 3 years and taken into consideration that most phones are sold with a 1 to 2 years contract, and the fact that many people tend to keep the same phone for more than 2 years this study concludes that it would be wrong to build a mobile marketing strategy purely on smartphones. The important information from these facts is not a discussion about whether there are more smart phones than other types of phones but rather a more constructive discussion: How can we leverage the presence of smart phones users to enhance the authentication of non smart phone users? Beyond the devices, such type of authentication would require a social relationship between the 2 users in order to allow the authentication. This is called a “Social authentication method”. Different researchers have proposed various schemes of social authentication, some based on a token number, others on a Bluetooth connexions between the 2 users to friend’s face recognition for Facebook social authentication method. In this paper we will analyze the current mobile phone authentication context as well as the current social authentication proposals. We will then introduce a novel way of social authentication which we will detail.[/accordionitem] [/cq_vc_accordion]
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A Dynamic Model for Evaluating Web Services Regarding Run-time Parameters
Authors :- Hadi Barani Baravati and Javad Hosseinkhani
Keywords :- Security, Evaluating Web Services, SOA, Run-Time Parameters
Published Online :- 01 March 2016
[accordionitem]Trust is one of the most important factors for making decision. By using trust, making decision and transactions go easy. Every day internet becomes big, and many web services are published. Therefore Service Oriented Architecture is proposed to improve publishing and discovering services process. In this architecture, clients prefer to trust to service providers and then select desire services. Reason of needing trust in this architecture is, in some situations maybe exists many services for specific functionality. So client should consider non-functional properties. Therefore in this project we propose architecture for assessing web services trust. Because trust is based on information, first trust parameters are considered in this thesis. Then we proposed architecture for assessing web service trust. Based on this architecture, parameters, services and service providers trust algorithms are proposed.[/accordionitem] [/cq_vc_accordion]
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Proposing an Algorithm in order to Detect Communities in Social Networks using Multi-Objective Evolutionary Algorithm
Authors :- Anoosh Mansouri Birgani and Javad Hosseinkhani
Keywords :- Social Network, Social Discovery, multi-objective optimization, centralized node.
Published Online :- 03 March 2016
[accordionitem]Recently Social networks, a new generation of websites that are in the spotlight these days were Internet users. Such sites are active on the assembly line and each batch of Internet users with certain characteristics come together. Social networks and social media so they know that it is possible to achieve a new way of communicating and sharing content on the Internet have created. Social network concept that the design in virtual space, in real space as well as a sense of community. Social Networking like any social network is made up of community and human relationships in society. The proposed method includes precise mathematical methods and is approximate and innovative, adaptable and efficient. The nature of the problem is due to the nature of intelligent behavior and genetic algorithm based on random behavior of its elements, Genetic algorithm optimization combined with modularity concept that is one of swarm intelligence is used in this research. Therefore, in this study we used a genetic multi-objective optimization algorithm to achieve an increase in modularity. This approach by two criteria, coefficient Do was silhouette index and the quality of the proposed method is determined.[/accordionitem] [/cq_vc_accordion]
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