Recent Submissions

  • SoK: context and risk aware access control for zero trust systems 

    Xiao, Shiyn; Ye, Yuhang; Kanwal, Nadia; Newe, Thomas; Lee, Brian (Wiley/Hindawi, 2022-06-30)
    Evolving computing technologies such as cloud, edge computing, and the Internet of )ings (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures ...
  • An ensemble machine learning method for microplastics identification with FTIR spectrum 

    Yan, Xinyu; Cao, Zhi; Murphy, Alan; Qiao, Yuansong (Elsevier, 2022-06-20)
    Microplastics (MPs) (size < 5 mm) marine pollution have been investigated and monitored by many researchers and found in many coasts around the world. These toxic chemicals make their way into human diet through food ...
  • Anomalous distributed traffic: detecting cyber security attacks amongst microservices using graph convolutional networks 

    Jacob, Stephen; Qiao, Yuansong; Ye, Yuhang; Lee, Brian (Elsevier, 2022-04-22)
    Currently, microservices are trending as the most popular software application design architecture. Software organisations are also being targeted by more cyber-attacks every day and newer security measures are in high ...
  • A survey of modern deep learning based object detection models 

    Zaidi, Syed Sahil Abbas; Ansari, Mohammad Samar; Aslam, Asra; Kanwal, Nadia; Ashgar, Mamoona; Lee, Brian (Elsevier, 2022-06-30)
    Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep ...
  • Zero-padding and spatial augmentation-based gas sensor node optimization approach in resource-constrained 6G-IoT paradigm 

    Chaudhri, Shiv Nath; Rajput, Navin Singh; Alsamhi, Saeed Hamood; Shvetsov, Alexey V.; Almaki, Faris A. (MDPI, 2022-04-15)
    Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance ...
  • Survey on unmanned aerial vehicle for Mars exploration: deployment use case 

    Sharma, Manjula; Gupta, Akshita; Gupta, Sachin Kumar; Alsami, Saeed Hamood (MDPI, 2021-12-22)
    In recent years, the area of Unmanned Aerial Vehicles (UAVs) has seen rapid growth. There has been a trend to build and produce UAVs that can carry out planetary exploration throughout the past decade. The technology of ...
  • Low computational complexity for optimizing energy efficiency in Mm-wave hybrid precoding system for 5G 

    Salh, Adeb; Audah, Lukman; Abdullah, Qazwan; Aydoğdu, Ömer; Alhartomi, Mohammed A.; Alsamhi, Saeed Hamood; Almalki, Faris A.; Shah, Nor Shahida M. (IEEE, 2022-01-13)
    Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome ...
  • GRU-based deep learning approach for network intrusion alert prediction 

    Ansari, Mohammad Samar; Bartoš, Václav; Lee, Brian (Elsevier, 2021-11)
    The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...
  • Blockchain for decentralized multi-drone to combat COVID-19 

    Alsamhi, Saeed H.; Lee, Brian; Guizani, Mohsen; Kumar, N.; Qiao, Yuansong; Liu, Xuan (Wiley, 2021-03-17)
    Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...
  • Machine learning for smart environments in B5G networks: connectivity and QoS 

    Alsamhi, Saeed H.; Almalki, Faris, A.; Al-Dois, Hatem; Othman, Soufiene Ben; Hassan, Jahan; Hawbani, Anmar; Sahal, Radyah; Lee, Brian; Saleh, Hager (Hindawi, 2021-09-20)
    The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ...
  • Delay-based network utility maximization modelling for congestion control in name data networking 

    Ye, Yuhang; Flynn, Ronan; Xu, Jin; Guiming, Fang; Yuansong, Qiao (IEEE, 2021-10-05)
    Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ...
  • Blockchain-empowered digital twins collaboration: smart transportation use case. 

    Sahal, Radhya; Alsamhi, Saeed H.; Brown, Kenneth N.; O'Shea, Donna; McCarthy, Connor; Guizani, Mohsen (2021-09-09)
    Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation ...
  • Industry 4.0 smart reconfigurable manufacturing machines 

    Morgan, Jeff; Halton, Mark; Qiao, Yuangsong (Elsevier, 2021-04-07)
    This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. The ...
  • A reliable and energy efficient dual prediction data reduction approach to WSNs based on Kalman filter 

    Wang, Haibin; Yemeni, Zaid; Ismael, Waleed M.; Hawbani, Ammar; Alsamhi, Saeed H. (Wiley, 2021-07-29)
    Wireless sensor networks (WSNs) are critically resource-constrained due to wireless sensor nodes' tiny memory, low processing units, power limitations, and narrow communication bandwidth. The data reduction technique is ...
  • A low-cost platform for environmental smart farming monitoring system based on IoT and UAVs 

    Almalki, Faris A.; Soufiene, Ben Othman; Alsamhi, Saeed H.; Sakli, Hedi (MDPI, 2021-05-24)
    When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This ...
  • Digital twin: origin to future 

    Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin P.; Qiao, Yuansong; Murray, Niall (MDPI, 2021-05-24)
    Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin ...
  • Block-chain empowered multi-robot collaboration to fight COVID-19 and future pandemics 

    Alsamhi, Saeed H.; Lee, Brian (IEEE, 2021-03-25)
    This conceptual paper overviews how blockchain technology is involving the operation of multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a promising technology for providing many tasks ...
  • Analysis of iterative process for Nauru voting system 

    Gohar, Neelam; Niaz, Sidra; Ashg, Mamoona Naveed; Noor, Salma (Tech Science Press, 2021)
    Game theory is a popular area of artificial intelligence in which the voter acknowledges his own desires and favors the person he wants to be his representative. In multi-agent systems, social choice functions help ...
  • Digital twins collaboration for automatic erratic operational data detection in industry 4.0 

    Sahal, Radhya; Alsamhi, Saeed H.; Breslin, John G.; Brown, Kenneth N.; Ali, Muhammad Intizar (MDPI, 2021-04-02)
    Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ...
  • Green internet of things using UAVs in B5G networks: a review of applications and strategies 

    Alsamhi, Saeed H.; Afghah, Fatemeh; Sahal, Radhya; Hawbani, Ammar; Al-qaness, Mohammad A. A.; Lee, Brian; Guizani, Mohsen (Elsevier, 2021-04-03)
    Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...

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