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Edge computing and the internet of things (IOT) have revolutionised the manner in which data is handled and analysed, making it possible to cut down on latency while simultaneously increasing energy efficiency. Yet, assuring the integrity of these systems and the security of their data continues to be a difficulty. This research proposes a unique system that addresses these difficulties in edge computing and IOT contexts. It mixes Base64 encoding, trustworthy algorithms, and virtual force mapping by trust value. This architecture not only boosts security and dependability by prioritising trustworthy components and preserving data while it is being sent, but it also adds significantly to reductions in energy usage, which is a huge win for everyone involved. The technique that has been provided provides a strong solution for safe, efficient, and reliable data processing in edge computing and IOT systems. As a result, it paves the way for future improvements in these sectors.