Work place: Department of Computer Science Arab American University Jenin, Palestine
E-mail: Adwan.yasin@aauj.edu
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Systems Architecture, Computer Networks, Network Architecture, Network Security
Biography
Dr. Adwan Yasin PH.D Computer System Engineering /Computer security /Kiev National Technical University of Ukraine, 1996. Master degree in computer System Engineering- Donetsk Polytechnic institute, Ukraine, 1992. An associate professor former Dean of the Engineering and Information Technology Faculty of the Arab American University of Jenin, Palestine. Previously he worked as Chair Person of Computer Science Department- AAUJ, Assistant professor of the computer Science Department -The Arab American University- Palestine. Assistant professor of the computer & Information System Department, Philadelphia University- Jordan. Assistant professor of the Computer science department, Zarka Private University- Jordan. He has many publications in the fields of computer networking and security in different international journals. His research interests Computer Security, Computer Architecture and Computer Networks.
By Adwan Yasin
DOI: https://doi.org/10.5815/ijcnis.2016.07.03, Pub. Date: 8 Jul. 2016
Spam messages are today one of the most serious threats to users of E-mail messages. There are several ways to prevent and detect spam message, the most important way is filtering spam. Sometimes Filtering fails to discover some spam messages or even fails in the classification of non-spam messages as a spam messages. In this paper, we suggest a new effective method that reduces the spam messages by integrating prevention and detection techniques in one scheme. The reduction achieved by considering history and user authentication. This method based on issuing a certificate to each reliable user during the process of Email account Creation. The certificate used by Email servers to discard or forward ingoing or outgoing Emails. Each Server has to maintain white, gray and blacklist according to Email classification spam or ham, which determined by the user or by the contents examination of the message in terms of empty or contained only links without any text or by searching for a specific keywords in the subject and in the content. We believe that there are no bad or good E–mails forever, so the proposed model dynamically allows the transition of E-mail from one state to another state based on the number of received spam and ham messages.
[...] Read more.DOI: https://doi.org/10.5815/ijcnis.2016.04.04, Pub. Date: 8 Apr. 2016
In this paper we present a new algorithm for clustering MANET by considering several parameters. This is a new adaptive load balancing technique for clustering out Mobile Ad-hoc Networks (MANET). MANET is special kind of wireless networks where no central management exits and the nodes in the network cooperatively manage itself and maintains connectivity. The algorithm takes into account the local capabilities of each node, the remaining battery power, degree of connectivity and finally the power consumption based on the average distance between nodes and candidate cluster head. The proposed algorithm efficiently decreases the overhead in the network that enhances the overall MANET performance. Reducing the maintenance time of broken routes makes the network more stable, reliable. Saving the power of the nodes also guarantee consistent and reliable network.
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