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"Industrial IoT intrusion detection via evolutionary cost-sensitive lea" by Akbar Telikani, Jun Shen et al.

Cyber-attacks and intrusions have become the major obstacles to the adoption of the Industrial Internet of Things (IIoT) in critical industries. Imbalanced data distribution is a common problem in IIoT environments that negatively influence machine learning-based intrusion detection systems. To address this issue, we introduce EvolCostDeep, a hybrid model of stacked auto-encoders (SAE) and convolutional neural networks (CNNs) with a new cost-dependent loss function. The loss function aims to optimize the model’s parameters, where the costs are determined using an evolutionary algorithm. The combination of evolutionary algorithms and deep learning on Big data hinders the scalability of IIoT intrusion detection systems. In this regard, a fog computing-enabled framework, called DeepIDSFog, is designed at the data level, where the master node shares the EvolCostDeep model with worker nodes. In each fog worker node, the EvolCostDeep is parallelized through one task-level and two model-lev ....

Industrial Internet , Class Imbalance , Computational Modeling , Convolutional Neural Networks , Cost Sensitive Learning , Deep Learning , Edge Computing , Evolutionary Algorithms , Fog Computing , Industrial Internet Of Things , Industrial Internet Of Things Iiot , Intrusion Detection ,

"TreeNet Based Fast Task Decomposition for Resource-Constrained Edge In" by Dong Lu, Yanlong Zhai et al.

Edge intelligence is an emerging technology that integrates edge computing and deep learning to bring AI to the network’s edge. It has gained wide attention for its lower network latency and better privacy preservation abilities. However, the inference of deep neural networks is computationally demanding and results in poor real-time performance, making it challenging for resource-constrained edge devices. In this paper, we propose a hierarchical deep learning model based on TreeNet to reduce the computational cost for edge devices. Based on the similarity of the classification categories, we decompose a given task into disjoint sub-tasks to reduce the complexity of the required model. Then a lightweight binary classifier is proposed for evaluating the sub-task inference result. If the inference result of a sub-task is unreliable, our system will forward the input samples to the cloud server for further processing. We also proposed a new strategy for finding and sharing common featur ....

Adaptation Models , Computational Modeling , Deep Learning , Edge Computing , Edge Intelligence , Odel Acceleration , Model Compression , Neural Networks , Resource Constrained , Task Analysis ,

Sniffing out cancer with insect olfactory neural circuits

A fascinating new preprint reports the results of examining the VOC composition from individual cell cultures derived from human oral cancers, using an experimental setup employing an insect brain with attached antenna. ....

Petr Ganaj Shutterstock , Breath Analysis , Cell Line , Computational Modeling , Gas Chromatography , Lung Cancer , Mass Spectrometry , Oral Cancer ,

New simulator quantifies the effect of body posture and stomach motility on drug bioavailability

A common, economic, and easy method of administering drugs is orally, by swallowing a pill or capsule. ....

Rajat Mittal , Emily Henderson , Johns Hopkins University , Johns Hopkins School Of Medicine , Johns Hopkins School , Computational Modeling , Gastrointestinal Tract ,

Scientists Warn Being Single Increases Chance of Dying from Stomach Cancer; New Study Finds Men More at Risk

The study said marital status is an important factor when it comes to the survival of individuals undergoing early stage gastric cancer. ....

United States , American Association For The Advancement Of Science , American Cancer Society , Getty Images , American Association , Processed Meat May Lead , Investigative Medicine , Study Confirms Link Between Obesity , Stomach Cancer , Gastric Cancer , Single Life , Marital Status , Unmarried People , Married Individuals , Mathematical Model , Computational Simulation , Computational Modeling ,