Studying and Detecting of Security Attacks on Fog Computing Systems using Blockchain

Authors

  • Husain Shaban Tishreen University
  • Ahmed Saqr Ahmed Tishreen University
  • Inas Laila Tishreen University

Abstract

Fog computing extends cloud computing capabilities to the edge of the network, bringing computing and storage closer to users and devices as this distributed architecture improves the efficiency of data processing and analysis while reducing latency.

In the context of security, fog computing faces many challenges such as securing communication between distributed devices, ensuring data integrity, and protecting against malicious attacks. It has been shown that traditional security measures may not be sufficient to address these challenges due to the dynamic and decentralized nature of fog computing systems. Hence the use of block chain technology in fog computing, where a secure and tamper-resistant distributed ledger (Distributed Ledger Technology (DLT)) can be used to verify the integrity of data and transactions. Blockchain's decentralized consensus mechanism enhances the reliability and resilience of fog computing networks, making them more robust against security attacks. In this research, we studied and evaluated security attacks on fog computing networks and studied the impact of integrating block chains to enhance security measures in fog computing systems through the use of smart contracts. We used IfogSim to simulate fog computing, and the LOIC TOOLS tool to implement security attacks. The results showed the benefit of the block chain. This reduces the effectiveness of attacks by improving performance and network utilization by 68.17% and reducing delay by 68.26% in the presence of a DDOS attack

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Published

2024-11-17

How to Cite

1.
شعبان ح, أحمد صقر أحمد, إناس ليلى. Studying and Detecting of Security Attacks on Fog Computing Systems using Blockchain. Tuj-eng [Internet]. 2024Nov.17 [cited 2024Dec.4];46(4):345-57. Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/17122

Issue

Vol. 46 No. 4 (2024): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Master student researches

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Copyright (c) 2024 https://creativecommons.org/licenses/by-nc-sa/4.0/

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