Edge computing is the practice of processing data near the edge of the network where the data is being generated, instead of in a centralized data processing warehouse. It is becoming popular with the aim to minimize the delay between end-users and the cloud. This interesting topic came to us from The Journal of Cloud Computing in their article, “Security and privacy issues for artificial intelligence in edge-cloud computing.”
Artificial intelligence (AI) applications can benefit from the low latency offered by edge computing. However, it suffers from capacity limitations and is challenged by computationally expensive artificial intelligent applications. Edge-cloud computing paradigm offers a happy medium between AI applications’ requirements for computing resources and low latency.
In the edge-cloud environment, there is a lack of security technologies and privacy protection mechanisms specifically designed for AI applications facilitated by the edge-cloud computing paradigm. In the edge-cloud environment, AI applications are subject to a variety of security threats, such as data privacy disclosure, adversarial attacks, confidential attacks, etc.
These are just a few of the reasons why trust, reliability and dependability in edge-cloud computing is increasing.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.