السجلات المعروضة 2761 -- 2780 من 8384

    • A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things 

      Yang, Wenti; Wang, Ruimiao; Guan, Zhitao; Wu, Longfei; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The Internet of Things technology has been used in a wide range of fields, ranging from industrial applications to individual lives. As a result, a massive amount of sensitive data is generated and transmitted by IoT ...
    • A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud 

      Liu, Jingwei; Zhang, Gaojian; Sun, Rong; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is playing an important role in the field of intelligent transportation. In such a system, vehicles are allowed to collect ambient ...
    • Secure Authentication and Key Agreement Protocol for Tactile Internet-based Tele-Surgery Ecosystem 

      Kaur, Kuljeet; Garg, Sahil; Kaddoum, Georges; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      With the recent advancements in wireless communications, Tactile Internet (TI) has witnessed a major blow. TI is considered the next big evolution that will provide real-time control in industrial setups, particularly in ...
    • A Physical Layer Security Scheme with Compressed Sensing in OFDM-based IoT Systems 

      Liu, Jingwei; Hu, Qin; Suny, Rong; Duz, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The Internet of Things (IoT) features pervasive sensing and control capabilities by deploying a massive machinetype communication (MTC) devices. However, low hardware complexity, low processing capacity and constrained ...
    • Medical IoT: A Comprehensive Survey of Different Encryption and Security Techniques 

      Kharroub, Suleiman K.; Abualsaud, Khalid; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Recently, there is a revolution in internet of things (IoT) technologies. Research advancements in this field proved to be very useful to automate daily tasks, it quickly reached the medical field resulting in the creation ...
    • UAV Placement Optimization for Internet of Medical Things 

      Tang, Chaogang; Zhu, Chunsheng; Wei, Xianglin; Rodrigues, Joel J.P.C.; Guizani, Mohsen; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Internet of Medical Things (IoMT), intended for real-time health monitoring, are generating quantity of health data such as electrocardiogram, oxygen saturation, and blood pressure every second. The captured data should ...
    • Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Networks 

      Li, Kai; Ni, Wei; Tovar, Eduardo; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Proceedings)
      In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and collect the sensory data. This paper focuses on ...
    • Signed Network Embedding with Dynamic Metric Learning 

      Wu, H.; Guan, Donghai; Han, Guangjie; Yuan, Weiwei; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Network embedding is an important method to learn low-dimensional vector representations of nodes in networks, which has wide-ranging applications in network analysis such as link prediction. Most existing network embedding ...
    • A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining 

      van der Schaaf, Koen; Tekinerdogan, Bedir; Catal, Cagatay ( John Wiley and Sons Ltd , 2021 , Article)
      Cybersecurity is critical in realizing Internet of Things (IoT) applications and many different standards have been introduced specifically for this purpose. However, selecting relevant standards is not trivial and requires ...
    • Obstacles and features of health information systems: A systematic literature review 

      Tummers, J.; Tekinerdogan, B.; Tobi, H.; Catal, C.; Schalk, B. ( Elsevier , 2021 , Article Review)
      Background: Currently many healthcare systems are supported by an increasing set of Health Information Sys-tems (HISs), which assist the activities for multiple stakeholders. The literature on HISs is, however, fragmented ...
    • Designing a reference architecture for health information systems 

      Tummers, Joep; Tobi, Hilde; Catal, Cagatay; Tekinerdogan, Bedir ( BioMed Central Ltd , 2021 , Article)
      Background: Healthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper architecture ...
    • Energy load forecasting using a dual-stage attention-based recurrent neural network 

      Ozcan, Alper; Catal, Cagatay; Kasif, Ahmet ( MDPI , 2021 , Article)
      Providing a stable, low-price, and safe supply of energy to end-users is a challenging task. The energy service providers are affected by several events such as weather, volatility, and special events. As such, the prediction ...
    • A Firewall Policy Anomaly Detection Framework for Reliable Network Security 

      Togay, Cengiz; Kasif, Ahmet; Catal, Cagatay; Tekinerdogan, Bedir ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      One of the key challenges in computer networks is network security. For securing the network, various solutions have been proposed, including network security protocols and firewalls. In the case of so-called packet-filtering ...
    • Predictive maintenance using digital twins: A systematic literature review 

      van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2022 , Article Review)
      Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
    • Smart warehouses: Rationale, challenges and solution directions 

      van Geest, Maarten; Tekinerdogan, Bedir; Catal, Cagatay ( MDPI , 2022 , Article Review)
      Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types ...
    • Automation of systematic literature reviews: A systematic literature review 

      van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2021 , Article Review)
      Context: Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further and broader insight into the investigated domain. ...
    • A Multi-Channel Convolutional Neural Network approach to automate the citation screening process 

      van Dinter, Raymon; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article)
      The systematic literature review (SLR) process is separated into several steps to increase rigor and reproducibility. The selection of primary studies (i.e., citation screening) is an important step in the SLR process. The ...
    • A decision support system for automating document retrieval and citation screening 

      van Dinter, Raymon; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article)
      The systematic literature review (SLR) process includes several steps to collect secondary data and analyze it to answer research questions. In this context, the document retrieval and primary study selection steps are ...
    • Precision nutrition: A systematic literature review 

      Kirk, Daniel; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article Review)
      Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
    • Systematic reviews in sentiment analysis: a tertiary study 

      Ligthart, Alexander; Catal, Cagatay; Tekinerdogan, Bedir ( Springer Science and Business Media B.V. , 2021 , Article)
      With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's ...