An Investigation of the Security and Privacy Implications of fog Computing Systems using IFogSim
Shreyas Agrawal, Dhawan Singh
Abstract
Fog computing, a concept that extends cloud computing capabilities to the edge of the network and enables effective data processing and analysis, has drawn a lot of interest. However, in order for fog computing systems to be successfully deployed, significant issues of security and privacy must be resolved. This research study uses IFogSim, a simulation tool made exclusively for fog computing, to examine the security and privacy issues of fog computing systems. In order to uncover possible security and privacy threats and assess the efficacy of various security solutions, we model and simulate various fog computing scenarios using the capabilities of IFogSim. Understanding the effects of assaults like malware insertion and data exfiltration on the functionality and security of fog computing systems is the main goal of our research. Additionally, we investigate various security methods, such as access control guidelines, authentication procedures, and encryption, to evaluate how well they may reduce the threats that have been discovered. The research's findings shed important light on the privacy and security issues that fog computing systems raise. They assist in determining the proper security measures to protect sensitive data and inform the design and development of secure fog computing systems. The trade-offs between security and performance are also highlighted in our study, allowing decision- makers to find a compromise between these important factors.