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Security, privacy, and protection in Big Data are critical aspects that ensure trust and reliability in handling massive amounts of sensitive information. As organizations collect and process data from diverse sources, safeguarding it against unauthorized access, breaches, and misuse becomes essential. Security involves implementing measures such as encryption, firewalls, and intrusion detection systems to protect data from cyber threats. Privacy focuses on respecting individuals’ rights by controlling how personal information is collected, shared, and used, often guided by regulations like GDPR and HIPAA. Protection encompasses strategies to maintain data integrity, availability, and confidentiality through secure storage, access controls, and continuous monitoring. Together, these elements form the backbone of responsible Big Data practices, ensuring that valuable insights can be extracted without compromising trust, compliance, or ethical standards.
This lecture is part of KWASU CSC 204 BIG DATA COMPUTING AND SECURITY in the Computer Science department. The course has 30 recorded lectures across 10 series, all free to watch.