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    On Physical Layer Security in Energy-Efficient Wireless Health Monitoring Applications 

    Eldiwany B.E.; Abdellatif A.A.; Mohamed A.; Al-Ali A.; Guizani M.; Du X.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
    In this paper, we investigate a multi-objective optimization framework for secure wireless health monitoring applications. In particular, we consider a legitimate link for the transmission of a vital EEG signal, threatened ...
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    An energy-efficient distributed clustering algorithm for heterogeneous WSNs 

    Javaid, N.; Rasheed, M.B.; Imran, M.; Guizani, M.; Khan, Z.A.; Alghamdi, T.A.; Ilahi, M.... more authors ... less authors ( Springer International Publishing , 2015 , Article)
    Wireless sensor networks (WSNs) were envisaged to become the fabric of our environment and society. However, they are yet unable to surmount many operational challenges such as limited network lifetime, which strangle their ...
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    An Attack-Resistant Trust Model Based on Multidimensional Trust Metrics in Underwater Acoustic Sensor Network 

    Han, G.; Jiang, J.; Shu, L.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
    Underwater acoustic sensor networks (UASNs) have been widely used in many applications where a variable number of sensor nodes collaborate with each other to perform monitoring tasks. A trust model plays an important role ...
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    A Fatigue Measuring Protocol for Wireless Body Area Sensor Networks 

    Akram, S.; Javaid, N.; Ahmad, A.; Khan, Z.A.; Imran, M.; Guizani, M.; Hayat, A.; Ilahi, M.... more authors ... less authors ( Springer New York LLC , 2015 , Article)
    As players and soldiers preform strenuous exercises and do difficult and tiring duties, they are usually the common victims of muscular fatigue. Keeping this in mind, we propose FAtigue MEasurement (FAME) protocol for ...
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    G-RAT | A novel graphical randomized authentication technique for consumer smart devices 

    Khan M.A.; Ud Din I.; Jadoon S.U.; Khan M.K.; Guizani M.; Awan K.A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
    User authentication is the process that is exercised millions of times around the globe by using different techniques and methods. The most prominent way of authentication is alphanumerical password forms that have been ...
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    How to govern the non-cooperative amateur drones? 

    He D.; Liu H.; Chan S.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
    In recent years, amateur UAVs have become more and more popular. This is due to the decreasing cost and growing range of applications such as weather monitoring, cargo transport and recreational purposes. However, ...
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    Cross Layer NOMA Interference Mitigation for Femtocell Users in 5G Environment 

    Budhiraja I.; Tyagi S.; Tanwar S.; Kumar N.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
    In this paper, we propose a joint channel allocation and power control algorithm by using cognitive radio non-orthogonal multiple access (CR-NOMA) for femtocell users (FUs). The aim is to maximize the sum rate of the FUs ...
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    A Synergetic Trust Model Based on SVM in Underwater Acoustic Sensor Networks 

    Han G.; He Y.; Jiang J.; Wang N.; Guizani M.; Ansere J.A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
    Underwater acoustic sensor networks (UASNs) have been widely applied in underwater scenarios where numerous anchoring or floating sensor nodes collaborate in performing some specific assignments, such as information ...
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    Machine learning in the Internet of Things: Designed techniques for smart cities 

    Din I.U.; Guizani M.; Rodrigues J.J.P.C.; Hassan S.; Korotaev V.V. ( Elsevier B.V. , 2019 , Article)
    Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...
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    A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services 

    Islam N.; Faheem Y.; Din I.U.; Talha M.; Guizani M.; Khalil M.... more authors ... less authors ( Elsevier B.V. , 2019 , Article)
    In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ...
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