An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing.

Mobile crowdsensing (MCS) systems rely on the collective contribution of sensor data from numerous mobile devices carried by participants. However, the open and participatory nature of MCS renders these systems vulnerable to adversarial attacks or data poisoning attempts where threat actors can inject malicious data into the system. There is a need for a detection system that mitigates malicious sensor data to maintain the integrity and reliability of the collected information. This paper addresses this issue by proposing an adaptive and robust model for detecting malicious data in MCS scenarios involving sensor data from mobile devices. The proposed model incorporates an adaptive learning mechanism that enables the TCN-based model to continually evolve and adapt to new patterns, enhancing its capability to detect novel malicious data as threats evolve. We also present a comprehensive evaluation of the proposed model's performance using the SherLock datasets, demonstrating its effectiveness in accurately detecting malicious sensor data and mitigating potential threats to the integrity of MCS systems. Comparative analysis with existing models highlights the performance of the proposed TCN-based model in terms of detection accuracy, with an accuracy score of 98%. Through these contributions, the paper aims to advance the state of the art in ensuring the trustworthiness and security of MCS systems, paving the way for the development of more reliable and robust crowdsensing applications.

Decontamination of reusable instruments in primary care.

Staff who undertake effective decontamination in non-centralized settings such as general practices must be provided with training and easy-to-follow guidance. In this article we present a distillation of the current guidance in an industrial quality control format of fishbone charts. A fishbone chart (or cause-and-effect chart) depicts all the causes of an outcome in a logical way to facilitate the identification of a specific problem. We developed our fishbone chart to include instructions that, if followed, would achieve safe and effective cleaning and sterilization. A survey of those given the charts showed high user acceptability: 76% found the fishbone better than existing guidelines - although the response rate was low at 46%. The charts will enable those involved in decontamination of instruments, including managers and infection control staff, to audit the facilities, equipment and practices. The use of industrial quality tools may assist other specialties that require complicated and comprehensive guidelines to be presented in a more user-friendly design.