Data Integrity in FOG Computing utilizing Distributed Ledger Technology

Abstract

Fog computing is a decentralized and distributed computing architecture that offers many benefits over traditional cloud computing. However, one of the major challenges facing fog computing is ensuring data integrity. The decentralized and distributed nature of fog computing can result in issues such as data loss, corruption, inconsistent data, and security threats. To address these challenges, this thesis proposes the use of a distributed ledger technology (DLT) platform for enhancing data integrity in fog computing. The DLT platform-IOTA Tangle from the family of DAG (Directed Acyclic Graph) will be used to create a decentralized and tamper-proof ledger of all data transactions in the fog network. This ledger will be maintained by a network of nodes and will be transparent and secure, ensuring that all data transactions are recorded and verified. The DLT platform will also provide robust security measures to protect against unauthorized access and data theft. The thesis will analyze the benefits and limitations of using IOTA for data integrity in fog computing. The study will also assess the impact of DLT on the performance and scalability of fog computing, and will compare the results with traditional data integrity mechanisms. The findings of this research will provide valuable insights into the use of DLT for data integrity in fog computing and will demonstrate its potential as a powerful tool for enhancing data security and integrity in decentralized and distributed systems.