Discover Internet of Things
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Swarm-based counter UAV defense systemAbstract Unmanned Aerial Vehicles (UAVs) have quickly become one of the promising Internet-of-Things (IoT) devices for smart cities. Thanks to their mobility, agility, and onboard sensors’ customizability, UAVs have already demonstrated immense potential for numerous commercial applications. The UAVs expansion will come at the price of a dense, high-speed and dynami... ...
- 2021
Intelligent IoT systems for civil infrastructure health monitoring: a research roadmapAbstract This paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the result... ...
Tập 1 Số 1 - 2021
arHateDetector: detection of hate speech from standard and dialectal Arabic Tweets Abstract Hate speech has become a phenomenon on social media platforms, such as Twitter. These websites and apps that were initially designed to facilitate our expression of free speech, are sometimes being used to spread hate towards each other. In the Arab region, Twitter is a very popular social media platform and thus the number of tweets that contain hate speec... ...
Detection of road traffic anomalies based on computational data science Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power. However, the collected data is affected by several sources that degrade the forecasting accuracy. T... ...
Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP Abstract The realm of cybersecurity places significant importance on early ransomware detection. Feature selection is critical in this context, as it enhances detection accuracy, mitigates overfitting, and reduces training time by eliminating irrelevant and redundant data. However, iterative feature selection techniques tend to select the best-performing subset of f... ...
Use of Internet of Things in the context of execution of smart city applications: a review
Tập 3 - Trang 1-22 - 2023
The Internet of Things (IoT) is rapidly becoming one of the most talked-about and essential components of any digitization process. The IoT is comprised of several key necessary components, the most important of which are sensors, communication (the internet), and user interfaces for data processing. IoTs are currently finding applications in virtually every industry, including healthcare, where t......
A framework for evaluating security risk in system design
Tập 2 - Trang 1-30 - 2022
Design and development of ubiquitous computer network systems has become increasingly difficult as technology continues to grow. From the introduction of new technologies to the discovery of existing threats, weaknesses, and vulnerabilities there is a constantly changing landscape of potential risks and rewards. The cyber security community, and industry at large, is learning to account for these ......
An interpolation-based reversible data hiding scheme for internet of things applications
Tập 3 - Trang 1-16 - 2023
The exponential growth of the Internet of Things (IoT) has led to an increased demand for secure and efficient data transmission methods. However, there is a tradeoff in the image quality and hiding capacity in the data hiding methods. Therefore, the maximum amount of data that could be stored in the image media is a difficult challenge while maintaining the image quality. Thus, to make the balanc......
Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chains
Tập 2 - Trang 1-15 - 2022
Various measures have been devised to reduce crowdedness and alleviate the transmission of COVID-19. In this study, we propose a method for reducing intra-facility crowdedness based on the usage of Wi-Fi networks. We analyze Wi-Fi logs generated continually in vast quantities in the ever-expanding wireless network environment to calculate the transition probabilities between the nodes and the mean......
Correction to: Bayesian Topology Learning and noise removal from network data
Tập 1 - Trang 1-1 - 2021
A correction to this paper has been published: https://doi.org/10.1007/s43926-021-00013-8