عرض بسيط للتسجيلة

المؤلفGuangjun, Luo
المؤلفNazir, Shah
المؤلفKhan, Habib Ullah
المؤلفHaq, Amin Ul
تاريخ الإتاحة2022-12-29T06:16:06Z
تاريخ النشر2020-07-09
اسم المنشورSecurity and Communication Networks
المعرّفhttp://dx.doi.org/10.1155/2020/8873639
الاقتباسGuangJun, L., Nazir, S., Khan, H. U., & Haq, A. U. (2020). Spam detection approach for secure mobile message communication using machine learning algorithms. Security and Communication Networks, 2020.
الرقم المعياري الدولي للكتاب1939-0114
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089149424&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37774
الملخصThe spam detection is a big issue in mobile message communication due to which mobile message communication is insecure. In order to tackle this problem, an accurate and precise method is needed to detect the spam in mobile message communication. We proposed the applications of the machine learning-based spam detection method for accurate detection. In this technique, machine learning classifiers such as Logistic regression (LR), K-nearest neighbor (K-NN), and decision tree (DT) are used for classification of ham and spam messages in mobile device communication. The SMS spam collection data set is used for testing the method. The dataset is split into two categories for training and testing the research. The results of the experiments demonstrated that the classification performance of LR is high as compared with K-NN and DT, and the LR achieved a high accuracy of 99%. Additionally, the proposed method performance is good as compared with the existing state-of-the-art methods.
راعي المشروعMinistry of Education of the People's Republic of China [DCA190332].
اللغةen
الناشرHindawi
الموضوعSpam detection
Classification performance
Machine learning
العنوانSpam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms
النوعArticle
رقم المجلد2020
ESSN1939-0122
dc.accessType Open Access


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة