Intrusion Detection Method Based on Active Incremental Learning in Industrial Internet of Things Environment

Intrusion detection is a hot field in the direction of network security.Classical intrusion detection systems are usually based on supervised machine learning models.These offline-trained models usually have better performance in the initial stages of system construction.However,due to the diversity and rapid development of intrusion techniques,the trained models are often difficult to detect new attacks.In addition,very little noisy data in the training process often has a considerable impact on the performance of the intrusion detection system.This paper proposes an intrusion detection system based on active incremental learning with the adaptive capability to solve these problems.IDS consists of two modules,namely the improved incremental stacking ensemble learning detection method called Multi-Stacking model and the active learning query module.The stacking model can cope well with concept drift due to the diversity and generalization selection of its base classifiers,but the accuracy does not meet the requirements.The Multi-Stacking model improves the accuracy of the model by adding a voting layer on the basis of the original stacking.The active learning query module improves the detection of known attacks through the committee algorithm,and the improved KNN algorithm can better help detect unknown attacks.We have tested the latest industrial IoT dataset with satisfactory results.

A general strategy for one-step fabrication of biocompatible microcapsules with controlled active release

Fabrication of biocompatible core-shell microcapsules in a controllable and scalable manner remains an important but challenging task.Here,we develop a one-step microfluidic approach for the highthroughput production of biocompatible microcapsules,which utilizes single emulsions as templates and controls the precipitation of biocompatible polymer at the water/oil interface.The facile method enables the loading of various oils in the core and the enhancement of polymer shell strength by polyelectrolyte coating.The resulting microcapsules have the advantages of controllability,scalability,biocompatibility,high encapsulation efficiency and high loading capacity.The core-shell microcapsules are ideal delivery vehicles for programmable active release and various controlled release mechanisms are demonstrated,including burst release by vigorous shaking,pH-triggered release for targeted intestinal release and sustained release of perfume over a long period of time.The utility of our technique paves the way for practical applications of core-shell microcapsules.