TAILIEUCHUNG - A novel algorithm applied to filter spam e-mails for iPhone

An iPhone is like a portable computer in arithmetic logic capability, memory capacity, and multi-media capability. Many malware targeting iPhone has already emerged and then the situation is getting worse. Accessing emails on the internet is not a new capability for iPhone. | Vietnam J Comput Sci 2015 2 143-148 DOI s4O595-015-0039-8 CrossMark REGULAR PAPER A novel algorithm applied to filter spam e-mails for iPhone Zne-Jung Lee Tsung-Hui Lu Hsiang Huang Received 18 August 2014 Accepted 25 January 2015 Published online 8 February 2015 The Author s 2015. This article is published with open access at Abstract An iPhone is like a portable computer in arithmetic logic capability memory capacity and multi-media capability. Many malware targeting iPhone has already emerged and then the situation is getting worse. Accessing emails on the internet is not a new capability for iPhone. Other smart phones on the market also provide this capability. The spam e-mails have become a serious problem for iPhone. A novel algorithm artificial bee-based decision tree ABBDT approach is applied to filter spam e-mails for iPhone in this paper. In the proposed ABBDT approach decision tree is used to filter spam e-mails for iPhone. In addition artificial bee algorithm is used to increase the testing accuracy of decision tree. There are total 504 collected e-mails in iPhone dataset and they are categorized into 12 attributes. Another spambase dataset obtained from UCI repository of machine learning databases is also used to evaluate the performance of the proposed ABBDT approach. From simulation results the proposed ABBDT approach outperforms other existing algorithms. Keywords Spam e-mails iPhone Decision tree Artificial bee Artificial bee-based decision tree ABBDT . Lee B Department of Information Management Huafan University Taipei Taiwan e-mail johnlee@ . Lu H. Huang Department of Mechatronic Engineering Huafan University Taipei Taiwan 1 Introduction Apple s iPhone was released on June 29 2007. Today iPhone has evolved and experienced an immense popularity due to its ability to provide a wide variety of services to users. Thereafter iPhone is inevitably becoming the hot targets of hackers and there are many .

• Hệ điều hành
• Spam e mails
• Decision tree
• Artificial bee
• Artificial bee based decision tree
• Multi media capability
• Spam email filtering based on machine learning
• Spam email filtering
• Self improving performance
• System applied this method
• New incoming emails