This paper proposes the use of Offline Data
minimization and Pseudonymisation to protect users’
Personally Identifiable Information (PII) and privacy via
the use of physical and logical partitions implemented
with hardware and software algorithms. Data is most
vulnerable to leakage if made accessible via the Internet.
Several approaches are being used to protect online data.
However, the numerous instances where online data has
been leaked shows the need to enhance the existing
solutions. Further, the privacy of individuals using the
internet has been compromised on several occasions. The
compromise in some instances has resulted in victims
being defrauded. The research aims to protect the ecommerce user’s privacy while online by using random
pseudo IDs. The research plans to formulate an algorithm
to generate random IDs that can be used to transact
online while preventing online profiling that is possible
via the use of static Pseudo IDs. The Random ID
generator algorithm will have the ability to uniquely trace
back to the user of a given Random pseudo ID
Keywords : Pseudonymisation, Anonymization, Offline Data, Leakage Prevention, Physical And Logical Separation, PII Protection.