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Sumeet Choudhary
Sumeet Choudhary
Summer Intern at ERIE Insurance | M.S. in C.S| Research & Teaching Assistant at Arizona State University | IAM | Data Privacy| Data Governance | Data Analysis | Data Security | Cloud Security | Ex- Deloitte | Ex- Wipro
Published Jul 17, 2023
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In today's digital age, data is collected and stored by a wide range of organizations. This data can be used for a variety of purposes, including marketing, product development, and fraud detection. However, the collection and storage of personal data also raises privacy concerns.
Privacy-preserving data mining is a field of research that seeks to develop techniques for mining data without compromising the privacy of the individuals whose data is being mined. This is a challenging problem, but it is one that is becoming increasingly important as the amount of personal data collected and stored continues to grow.
What is privacy-preserving data mining?
Privacy-preserving data mining is a set of techniques that allow data to be analyzed without revealing the identities of the individuals whose data is being analyzed. This can be done by using encryption, anonymization, or other techniques.
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Techniques for privacy-preserving data mining
There are a number of different techniques that can be used for privacy-preserving data mining. Some of the most common techniques include:
Privacy-preserving data mining is a promising field of research with the potential to address the privacy concerns associated with the collection and storage of personal data. However, there are a number of challenges that must be addressed before privacy-preserving data mining can be widely adopted. We will discuss them in the upcoming weeks.
References (please refer to these for further technical understanding):
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4 Comments
Mandeep Singh, CISSP
Cyber Security Sr. Manager at Deloitte
11mo
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Good read Sumeet 👏
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Rituraj Gharat
currently at ASU
11mo
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Oh that's some good information.
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