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InfoSys 2025 Congress March 09, 2025 to March 13, 2025 - Lisbon, Portugal
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IARIA Congress 2025, The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications July 06, 2025 to July 10, 2025 - Athens, Greece
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NexTech 2025 Congress September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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SocSys 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
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- SENSORCOMM 2025, The Nineteenth International Conference on Sensor Technologies and Applications
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TechWorld 2025 Congress October 26, 2025 to October 30, 2025 - Barcelona, Spain
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ThinkMind // SECURWARE 2024, The Eighteenth International Conference on Emerging Security Information, Systems and Technologies // View article securware_2024_2_10_30009
Validating Damage Assessment: A Simulation-Based Analysis of Blind Write Lineage in Fog Computing
Authors: Mariha Siddika Ahmad Brajendra Panda Keywords: Fog computing security; blind write; data dependency; damage assessment; malicious transaction. Abstract: In order to solve problems like temporal lag, communication overhead, and the requirement for computational and storage resources to be closer to both the ground and end users, the idea of fog computing evolved as an extension of cloud computing. Due to its large number of interconnected nodes, this system is susceptible to cyberattacks. Damage from the attack swiftly spreads to other nodes and their data items when valid transactions cause modifications using the value of a compromised object, thus impairing the system's real-time functions. This research proposes a fast damage assessment approach to provide users access to unaffected nodes while accelerating system recovery. In this paper, we provide various algorithms along with simulated results to efficiently identify and mitigate damage, ensuring the system's resilience and continuity. Our proposed method demonstrates significant improvements in damage assessment speed and efficiency compared to traditional approaches, with simulation results consistently showing substantially fewer data item reads required during the recovery process across various scenarios. Pages: 28 to 35 Copyright: Copyright (c) IARIA, 2024 Publication date: November 3, 2024 Published in: conference ISSN: 2162-2116 ISBN: 978-1-68558-206-7 Location: Nice, France Dates: from November 3, 2024 to November 7, 2024
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