Browsing HVL Open by Author "Srivastava, Gautam"

Now showing items 41-56 of 56

    • Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization 

      Alterazi, Hassan A.; Kshirsagar, Pravin R.; Manoharan, Hariprasath; Selvarajan, Shitharth; Alhebaishi, Nawaf; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol ...

    • Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks 

      Roy, Amit Kumar; Nath, Keshab; Srivastava, Gautam; Gadekallu, Thippa Reddy; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Presently, lightweight devices such as mobile phones, notepads, and laptops are widely used to access the Internet throughout the world; however, a problem of privacy preservation and authentication delay occurs during ...

    • Privacy reinforcement learning for faults detection in the smart grid 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Jolfaei, Alireza; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighborhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure ...

    • Privacy-Preserving Deep Reinforcement Learning in Vehicle AdHoc Networks 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)
      The increasing number of road vehicles results in more fatalities and accidents. Thus, the manufacturing industry is working on driver safety to secure and safe transportation in Vehicle Adhoc networks. In addition, the ...

    • A Radical Safety Measure for Identifying Environmental Changes Using Machine Learning Algorithms 

      Kshirsagar, Pravin R.; Manoharan, Hariprasath; Selvarajan, Shitharth; Althubiti, Sara A.; Alenezi, Fayadh; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Due to air pollution, pollutants that harm humans and other species, as well as the environment and natural resources, can be detected in the atmosphere. In real-world applications, the following impurities that are caused ...

    • Reliable customer analysis using federated learning and exploring deep-attention edge intelligence 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      The Internet of Things (IoT) and smart cities are flourishing with distributed systems in mobile wireless networks. As a result, an enormous amount of data are being generated for devices at the network edge. This results ...

    • A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Dynamic traffic in a software-defined network (SDN) causes explosive data to flow from one system to another. The explosive data affects the functionality of system parameters, network-level configuration, routing parameters, ...

    • Secure Collaborative Augmented Reality Framework for Biomedical Informatics 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Augmented reality is currently a great interest in biomedical health informatics. At the same time, several challenges have been appeared, in particular with the rapid progress of smart sensors technologies, and medical ...

    • Self-attention-based conditional random fields latent variables model for sequence labeling 

      Shao, Yinan; Lin, Jerry Chun-Wei; Srivastava, Gautam; Jolfaei, Alireza; Guo, Dongdong; Hu, Yi (Peer reviewed; Journal article, 2021)
      To process data like text and speech, Natural Language Processing (NLP) is a valuable tool. As on of NLP’s upstream tasks, sequence labeling is a vital part of NLP through techniques like text classification, machine ...

    • Sensor data fusion for the industrial artificial intelligence of things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Houssein, Essam H.; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The emergence of smart sensors, artificial intelligence, and deep learning technologies yield artificial intelligence of things, also known as the AIoT. Sophisticated cooperation of these technologies is vital for the ...

    • SS-ITS: secure scalable intelligent transportation systems 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper introduces a secure and scalable intelligent transportation and human behavior system to accurately discover knowledge from urban traffic data. The data is secured using blockchain learning technology, where the ...

    • A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System 

      Wu, Jimmy Ming-Tai; Sun, Lingyun; Srivastava, Gautam; Díaz, Vicente García; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This article uses a new convolutional neural network framework, which has good performance for time series feature extraction and stock price prediction. This method is called the stock sequence array convolutional neural ...

    • A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments 

      Mezair, Tinhinane; Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      The integration of 5G and Beyond 5G (B5G)/6G in Machine-to-Machine (M2M) communications, is making Industry 4.0 smarter. However, the goal of having a sustainable self-monitored industry has not been reached yet. ...

    • Temporal positional lexicon expansion for federated learning based on hyperpatism detection 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Internet-based information exchange has resulted in the propagation of false and misleading information, which is highly detrimental to individuals and humankind. Due to the speed and volume of social media news production, ...

    • A Tool based on ML-driven Graphical Model for Stock Price Prediction by Leading Indicators 

      Wu, Jimmy Ming-Tai; Li, Zhongcui; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Stock prediction has become an emerging issue in recent decades and many studies have incorporated it with social systems to provide a better accuracy for the prediction results. Machine learning (ML) model is widely studied ...

    • Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers 

      Arshad, Umer; Aleem, Muhammad; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Cloud Computing services can be accessed anytime, anywhere via the Internet. The overwhelming growth of cloud data centers over the past decade has increased their costs as energy demands have risen. As a result, higher ...