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Kanza Hanif

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Papers by Kanza Hanif

Research paper thumbnail of Detection of SMS Spam and Filtering by Using Data Mining Methods: Literature Review

The Short message service (SMS) has been promptly developing these days for businesses, marketing... more The Short message service (SMS) has been promptly developing these days for businesses, marketing, advertisement, and information. Because of its popularity and easy access people use it for fraud as well. A short message device is the most common and popular communication medium through which text sends electronically. Spams are undesired or unfavorable message in form SMS that is passed on the communication medium. Spam causes many problems like limited memory space and also can affect computing power and speed. Nowadays, spam messages have been overflowing in many countries. Spam is the most annoying thing for the individual. The main issue with spam messages violates privacy. This study presents a literature review of the machine and deep learning techniques used in the detection, classification, and spam filtering for SMS spam. In this review, different databases were used for search including research gate, ELSEVIER, Applied sciences, and IEEE. SMS is a more commonly used medi...

Research paper thumbnail of Detection of SMS Spam and Filtering by Using Data Mining Methods: Literature Review

The Short message service (SMS) has been promptly developing these days for businesses, marketing... more The Short message service (SMS) has been promptly developing these days for businesses, marketing, advertisement, and information. Because of its popularity and easy access people use it for fraud as well. A short message device is the most common and popular communication medium through which text sends electronically. Spams are undesired or unfavorable message in form SMS that is passed on the communication medium. Spam causes many problems like limited memory space and also can affect computing power and speed. Nowadays, spam messages have been overflowing in many countries. Spam is the most annoying thing for the individual. The main issue with spam messages violates privacy. This study presents a literature review of the machine and deep learning techniques used in the detection, classification, and spam filtering for SMS spam. In this review, different databases were used for search including research gate, ELSEVIER, Applied sciences, and IEEE. SMS is a more commonly used medi...

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