ABSTRACT
Security and privacy are regarded as the greatest priority in any real-world smart ecosystem built on the Internet of Things (IoT) paradigm. In this study, a SqueezeNet model for IoT threat detection is built using Sine Cosine Sea Lion Optimization (SCSLnO). The Base Station (BS) carries out intrusion detection. The Hausdorff distance is used to determine which features are important. Using the SqueezeNet model, attack detection is carried out, and the network classifier is trained using SCSLnO, which is developed by combining the Sine Cosine Algorithm (SCA) with Sea Lion Optimization (SLnO). BoT-IoT and NSL-KDD datasets are used for the analysis. In comparison to existing approaches, PSO-KNN/SVM, Voting Ensemble Classifier, Deep NN, and Deep learning, the accuracy value produced by devised method for the BoT-IoT dataset is 10.75%, 8.45%, 6.36%, and 3.51% higher when the training percentage is 90.
Subject(s)
Internet of Things , Sea Lions , Animals , Algorithms , PrivacyABSTRACT
After the COVID-19 pandemic began, organizations had to pivot and move to online remote work. As companies moved to digital platforms and technologies for remote working, a key concern was the increase in workplace withdrawal behaviors during the pandemic, including cyberloafing, a form of workplace deviance. Cyberloafing can be described as the action of using the internet for non-work-related activities or personal use during working hours. Given its effect on organizational effectiveness and efficiency, organizations must take measures to minimize cyberloafing. We examined how two factors-fear of COVID-19 and intolerance for uncertainty-were related to cyberloafing during the third lockdown in Israel. A sample of 322 adults who were enrolled in professional courses at a university in Israel were surveyed. Based on Conservation of Resources Theory, our findings suggest that distress significantly mediated the relationship between fear of COVID-19, intolerance for uncertainty, and cyberloafing. In an attempt to deal with the stress and depletion of personal resources during the COVID-19 lockdown, individuals engaged in cyberloafing as a way to handle the stress. Our results suggest that organizations should take measures to reduce fear and uncertainty in order to decrease distress, which, in turn, will reduce cyberloafing.
ABSTRACT
It has been widely suggested that cultural competence is an individual's core requirement for working effectively with culturally diverse people. However, there is no consensus regarding the definition or the components of this concept and there is a dearth of empirical proof indicating the benefits of cultural competence. Therefore, a systematic review was conducted to identify the most common cultural competence dimensions proposed in recent publications and to identify whether sufficient evidence exists regarding the efficacy of cultural competence in the healthcare context. A total of 1204 citations were identified through an electronic search of databases, of which 18 publications included cultural competence frameworks, and 13 studies contained empirical data on cultural competence outcomes. The overarching themes of the review were centred around the challenges faced by the healthcare sector in many countries due to growing cultural diversity, but lack of cultural competence, leading to predicaments that arise during intercultural interactions between patients and clinicians. This review will benefit researchers exploring cultural competence as one of the research variables impacting research outcomes.
