Mustafa Abdulkhader Jassim Hammoud

Abstract:

The research explores decentralized computing applications for better data security protection alongside privacy enhancement and system performance upgrades. An examination of system performance compares centralized with decentralized models by measuring their latency levels and throughput rates alongside their data availability and cybersecurity resilience to DDoS and Sybil and MITM attacks. To replicate realistic transactions the established testbed platform processed 15,000 transactions across normal usage conditions alongside attack attack cases.

Results demonstrate decentralized systems maintain higher base latency and lower throughput capacity in normal functioning yet they deliver better attack resistance by sustaining 40% better throughput while offering 13% elevated availability throughout attack periods Additionally, decentralized systems demonstrated 100% data integrity and a 380%  faster response time in mitigating threats compared to centralized systems. The results show decentralized computing has potential to boost data security and protect privacy effectively so it can serve as a promising defensive measure against digital threats.