出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Present state of edge computing is an environment of different computing capabilities
connecting via a wide variety of communication paths. This situation creates both great
operational capability opportunities and unimaginable security problems. This paper
emphasizes that the traditional approaches to security of identifying a security threat and
developing the technology and policies to defend against that threat are no longer adequate.
The wide variety of security levels, computational capabilities, and communication channels
requires a learning, responsive, varied, and individualized approach to information security.
We describe a classification of the nature of transactions with respect to security based upon
relationships, history, trust status, requested actions and resulting response choices. Problem is
that the trust evaluation has to be individualized between each pair of devices participating in
edge computing. We propose that each element in the edge computing world utilizes a localized
ability to establish an adaptive learning trust model with each entity that communicates with the
element. Specifically, the model we propose increments or decrements the value of trust score
based upon each interaction.
