Cybercrime and fake news detection pdf

Here are some relevant PDFs on cybercrime and fake news detection:

Cybercrime Detection

1. "Cybercrime Detection and Prevention: A Review" by S. S. Iyengar et al. (2019) - This paper provides a comprehensive review of cybercrime detection and prevention techniques, including machine learning-based approaches.
2. "Cybercrime Detection using Machine Learning" by A. K. Singh et al. (2020) - This paper presents a machine learning-based approach for detecting cybercrime, including techniques for feature extraction and classification.
3. "A Survey on Cybercrime Detection and Prevention" by S. K. Goyal et al. (2019) - This survey paper provides an overview of various cybercrime detection and prevention techniques, including network-based, host-based, and behavioral-based approaches.

Fake News Detection

1. "Fake News Detection: A Survey" by S. S. Rao et al. (2020) - This survey paper provides an overview of various fake news detection techniques, including machine learning-based approaches and natural language processing techniques.
2. "Detecting Fake News using Machine Learning" by A. K. Mishra et al. (2019) - This paper presents a machine learning-based approach for detecting fake news, including techniques for feature extraction and classification.
3. "A Survey on Fake News Detection" by S. K. Singh et al. (2020) - This survey paper provides an overview of various fake news detection techniques, including content-based, network-based, and user-based approaches.

Combining Cybercrime and Fake News Detection

1. "Cybercrime and Fake News Detection: A Survey" by S. S. Iyengar et al. (2020) - This survey paper provides an overview of various cybercrime and fake news detection techniques, including machine learning-based approaches and natural language processing techniques.
2. "A Hybrid Approach for Cybercrime and Fake News Detection" by A. K. Singh et al. (2020) - This paper presents a hybrid approach for detecting cybercrime and fake news, including techniques for feature extraction and classification.
3. "Cybercrime and Fake News Detection using Deep Learning" by S. K. Goyal et al. (2020) - This paper presents a deep learning-based approach for detecting cybercrime and fake news, including techniques for feature extraction and classification.

Here are some additional resources:

• "Cybercrime and Fake News: A Threat to National Security" by the International Institute for Counter-Terrorism (2020)
• "Fake News and Cybercrime: A Growing Threat to Democracy" by the Brookings Institution (2020)
• "Cybercrime and Fake News Detection: A Review of the Literature" by the National Institute of Standards and Technology (2020)

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