Keywords : Bayesian
journal of kerbala university,
Volume 10, Issue 0, Pages 48-55
Short message service (SMS) spamming has become a large problem due to the wide spread of smart phones in the past few years. Modern smart phones processing power and extended connectivity has been employed by new spamming techniques to send spam messages from multiple infected devices controlled by command centres. Besides the annoyance for the receiver, this new breed of SMS spamming is causing financial loss for the infected devices owners since these devices has been used as tools for SMS transmission and spending the owner credit in the process. These new methods introduce a challenge for the telecommunication companies since it requires new techniques to identify and stop spam messages and the suggested method provide one practical solution for this problem. This paper presents a method to detect spam messages using the chronological characteristics of the spamming campaigns and the similarity among the spam messages’ contents which servers a single goal. A system has been built to recognize the repeated transmission of identical or near identical spam using the compact and high-performance Cuckoo filter. Real SMS messages were used to evaluate the system performance and detection rate.