This brief investigates the resilient consensus control for multiagent systems over a time-varying directed random network. We propose median-based strategy, which is purely distributed and, as opposed to Weighted-Mean-Subsequence-Reduced approaches in existing literature, shared estimate regarding number of malicious agents neighborhood each cooperative agent not required. offers more applicab...

Dropping of Information Communication Technology (ICT) based applications and facilities due to cable cuts failures in optical backbones leads to loss of many resources and opportunities. Therefore, resilience is an important issue toward reliable next generation networks which is a complicated designing issue and known to be an NP-hard problem. This paper presents an intelligent particle swarm...

The role of national health laboratories in support of public health response has expanded beyond laboratory testing to include a number of other core functions such as emergency response, training and outreach, communications, laboratory-based surveillance and data management. These functions can only be accomplished by an efficient and resilient national laboratory network that includes publi...

Deep Neural Networks are built to generalize outside of training set in mind by using techniques such as regularization, early stopping and dropout. But considerations to make them more resilient to adversarial examples are rarely taken. As deep neural networks become more prevalent in mission critical and real time systems, miscreants start to attack them by intentionally making deep neural ne...