IoT and 5G security threats could have network operators reeling

Poisoning Machine Learning: Machine learning is one of the most promising tools in the defensive security toolkit. Continuously updated threat intelligence allows security vendors, and their customers, to stay abreast of the latest threat landscape. Security devices and systems can be trained to perform specific tasks autonomously, such as baselining behaviors, applying behavioral analytics to identify sophisticated threats, or tracking and patching devices. However, as machine learning models are applied to this process we predict that this technique will become more efficient and tailored. But, as the Threat Intelligence report’s findings underscore, lagging security protection of many current IoT devices and increasing technical sophistication are giving cyber criminals broader scope for successfully launching IoT device attacks.

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