Abstract
One of the major issues facing the governments of developing countries, such as Nigeria, is ghost worker fraud. Ghost worker fraud refers to all practices relating to employee impersonations that have salary cost effects on the government. More than one hundred billion Naira (220 million US dollars), is lost annually due to ghost workers fraud in Nigeria. Solutions such as the development and
implementation of the Integrated Payroll and Personnel Information System (IPPIS) by the Nigerian government did not solve the problem. Blockchain technology offers the promise of improved transparency, auditability, autonomy, security, and efficiency. To address the problem of ghost worker fraud, in this paper, we investigate blockchain and its relevance to ghost workers fraud and
other forms of corruption in Nigeria. We also examine the problems of the Integrated Payroll and Personnel Information System (IPPIS). We then propose the use of a consortium blockchain framework to tackle ghost worker fraud and detail the type of consensus algorithm and the blockchain structure required. This framework could substantially reduce cases of ghost worker fraud in Nigeria
and elsewhere.
implementation of the Integrated Payroll and Personnel Information System (IPPIS) by the Nigerian government did not solve the problem. Blockchain technology offers the promise of improved transparency, auditability, autonomy, security, and efficiency. To address the problem of ghost worker fraud, in this paper, we investigate blockchain and its relevance to ghost workers fraud and
other forms of corruption in Nigeria. We also examine the problems of the Integrated Payroll and Personnel Information System (IPPIS). We then propose the use of a consortium blockchain framework to tackle ghost worker fraud and detail the type of consensus algorithm and the blockchain structure required. This framework could substantially reduce cases of ghost worker fraud in Nigeria
and elsewhere.
Original language | English |
---|---|
Title of host publication | IWSPA '23 |
Subtitle of host publication | Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics |
Place of Publication | New York, NY. |
Pages | 77-83 |
Number of pages | 7 |
ISBN (Electronic) | 9798400700996 |
DOIs | |
Publication status | Published - 24 Apr 2023 |
Event | 9th ACM International Workshop on Security and Privacy Analytics - Charlotte, United States Duration: 26 Apr 2023 → 26 Apr 2023 Conference number: 9 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=169753©ownerid=166527 |
Conference
Conference | 9th ACM International Workshop on Security and Privacy Analytics |
---|---|
Abbreviated title | IWSPA 2023 |
Country/Territory | United States |
City | Charlotte |
Period | 26/04/23 → 26/04/23 |
Internet address |
Keywords
- blockchain
- payroll
- corruption
- ghost worker
- IPPIS