Paper Title
NEXT-GEN CYBERSECURITY: AI-POWERED SMS SPAM DETECTION
Article Identifiers
Authors
Devika e p , Dr. Deepa A
Keywords
Sms spam detection, Artificial Intelligence, Algorithm
Abstract
The proliferation of SMS spam poses a significant challenge to mobile users, necessitating advanced detection mechanisms. In this research, we present an innovative AI-powered SMS spam detection system, integrating state-of-the-art machine learning techniques. The system begins with preprocessing SMS datasets, extracting key features such as message content, sender information, and metadata. These features serve as inputs to various machine learning algorithms, including Support Vector Machines (SVM), Naive Bayes, and Random Forest. Additionally, we incorporate natural language processing (NLP) methods to analyze the semantic content of messages, improving the model's ability to differentiate between spam and legitimate messages. Extensive experimentation is conducted on diverse datasets to evaluate the system's performance across multiple metrics, including accuracy, precision, recall, and computational efficiency. Results demonstrate the effectiveness of our approach in accurately identifying spam messages while minimizing false positives. Furthermore, our system exhibits scalability and adaptability to dynamic spamming techniques, making it suitable for real-time deployment. The study underscores the critical role of AI and machine learning in combating SMS spam, ensuring a secure and hassle-free communication environment for mobile users worldwide. Our research contributes to the ongoing efforts to enhance the resilience of mobile networks against emerging spamming threats, thereby safeguarding user privacy and experience.
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How To Cite (APA)
Devika e p & Dr. Deepa A (March-2024). NEXT-GEN CYBERSECURITY: AI-POWERED SMS SPAM DETECTION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), g441-g446. https://ijnrd.org/papers/IJNRD2403653.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : g441-g446
Other Publication Details
Paper Reg. ID: IJNRD_217009
Published Paper Id: IJNRD2403653
Downloads: 000121988
Research Area: Master of Computer ApplicationÂ
Country: Kozhikode, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403653.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403653
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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