Abstract:
Wave of Digital Transformation is transmuting almost every traditional aspect of our
life and same is the case with Money Management. Electronic Money Wallets (EMW)
Applications managed through Smartphones have excellent contribution towards the flexible
Electronic Money management. These Electronic Money Wallets have brought exceptional
convenience for users in Pakistan through flexible Account opening, Payments and Transfers
through Smartphone EMW Applications such as Easypaisa, JazzCash, UPaisa, etc. to other
wallets or banks. Even now users can transfer money anywhere in Pakistan to a recipient
without having a Bank or Electronic Money Wallet account but just having a valid National ID
Card. This convenience has added threats of Personal Identifiable Information (PII)
compromise, criminal exploitation and Fraudulent Activities. Electronic Money Wallets can
store customer personal information, transactions history and balance related data which can
be used for investigation purpose and at the same time this information can be also be used by
hackers & forensic analyst to gain access to personal data and account info for different
purposes. As this business is growing, security concerns of personal & financial information
are rapidly increasing. Hackers are continuously trying to exploit the vulnerabilities in the
Applications and Process of Electronic Money Wallet Management. Motive of this research is
identification and classification of data remnants left in the android mobile device while using
Electronic Money Wallets Applications. The artifacts collected from applications will be
presented in the form of analysis which will assist forensics investigators to have a better
insight towards the behavior of such Applications.