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@article{172348,
        author = {Vishwa Kiran KH and Dr.Mohan SH and Rohit MN},
        title = {Integrated Security Measures for Smishing and Misinformation Detection Using AI, NLP, and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2863-2868},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172348},
        abstract = {The rise of digital communication, especially through text messaging and online media, has transformed global interactions. However, there are also serious risks, like false information and SMS phishing (smishing). False information, particularly fake news, spreads quickly on social media, causing confusion and social unrest. Simultaneously, smishing attacks have become a significant risk to both organizational security and individual privacy. 
This study investigates the integration of machine learning (ML), natural language processing (NLP), and artificial intelligence (AI) techniques for multi-modal digital threat detection in order to address these issues. The study suggests an advanced security framework by using ML models to categorize and identify false or misleading information and NLP to analyze the context and content of news articles and SMS messages. The system uses deep learning models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), to evaluate the authenticity of news and identify smishing attempts. This integrated approach offers a strong solution to protect digital communication in addition to improving the detection of smishing and fake news.
To foster a safer and more secure online environment, the paper highlights the crucial role of artificial intelligence (AI) in improving the effectiveness of digital threat detection and its potential to reduce the spread of harmful content.},
        keywords = {Artificial Intelligence (AI), Fake news, Information, Machine Learning (ML), Natural Language Processing (NLP), Convolutional Neural Networks (CNNs)},
        month = {January},
        }