Privacy-Preserving Techniques in Web Mining
Author: Akshat Sharma
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Abstract
Web mining has now become the most important technique for getting valuable information from a large amount of data. However, as the reliance on web mining grows, concerns about privacy increase. This research paper aims to provide privacy prevention techniques in web mining, focusing on methods such as anonymization, encryption, and differential privacy. This paper will also help us to explore the importance of privacy and security with mining and also legal and ethical concerns about web mining
Keywords
Web mining, data breaches, security
Conclusion
This comprehensive exploration of web mining, encompassing its methodologies, security concerns, privacy-preserving techniques, case studies, and future trends, illuminates the multifaceted landscape of extracting insights from the World Wide Web. Key findings and insights emerge from each fact, culminating in a holistic understanding of the challenges and opportunities inherent in this dynamic field. The importance of security and privacy in web mining cannot be overstated. The potential risks, including unauthorized access and data breaches, necessitate robust measures to safeguard sensitive information. Ethical considerations are paramount, urging practitioners to strike a delicate balance between deriving insights and respecting user privacy. Anonymization, encryption, and differential privacy emerge as powerful tools in the arsenal of privacy-preserving techniques. These methodologies ensure the confidentiality and integrity of user data, addressing ethical concerns and regulatory requirements. The real-world incidents of the Yahoo Data Breach (2013-2014) and the Equifax Data Breach (2017) serve as cautionary tales. These breaches, with their far-reaching consequences, emphasize the need for robust security practices, transparent communication, and adherence to legal and ethical standards
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