Search Results - "Yazdinejad, Abbas"

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  1. 1

    Decentralized Authentication of Distributed Patients in Hospital Networks Using Blockchain by Yazdinejad, Abbas, Srivastava, Gautam, Parizi, Reza M., Dehghantanha, Ali, Choo, Kim-Kwang Raymond, Aledhari, Mohammed

    “…In any interconnected healthcare system (e.g., those that are part of a smart city), interactions between patients, medical doctors, nurses and other…”
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    Journal Article
  2. 2

    Exploring privacy measurement in federated learning by Jagarlamudi, Gopi Krishna, Yazdinejad, Abbas, Parizi, Reza M., Pouriyeh, Seyedamin

    Published in The Journal of supercomputing (01-05-2024)
    “…Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables distributed training of AI models without data sharing, thereby…”
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  3. 3

    An ensemble deep learning model for cyber threat hunting in industrial internet of things by Yazdinejad, Abbas, Kazemi, Mostafa, Parizi, Reza M., Dehghantanha, Ali, Karimipour, Hadis

    Published in Digital communications and networks (01-02-2023)
    “…By the emergence of the fourth industrial revolution, interconnected devices and sensors generate large-scale, dynamic, and inharmonious data in Industrial…”
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  4. 4

    A Review on Security of Smart Farming and Precision Agriculture: Security Aspects, Attacks, Threats and Countermeasures by Yazdinejad, Abbas, Zolfaghari, Behrouz, Azmoodeh, Amin, Dehghantanha, Ali, Karimipour, Hadis, Fraser, Evan, Green, Arthur G., Russell, Conor, Duncan, Emily

    Published in Applied sciences (01-08-2021)
    “…In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention from both the agriculture industry as well as the research…”
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  5. 5

    Accurate threat hunting in industrial internet of things edge devices by Yazdinejad, Abbas, Zolfaghari, Behrouz, Dehghantanha, Ali, Karimipour, Hadis, Srivastava, Gautam, Parizi, Reza M.

    Published in Digital communications and networks (01-10-2023)
    “…Industrial Internet of Things (IIoT) systems depend on a growing number of edge devices such as sensors, controllers, and robots for data collection,…”
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  6. 6

    AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare by Yazdinejad, Abbas, Dehghantanha, Ali, Srivastava, Gautam

    Published in IEEE transactions on consumer electronics (01-02-2024)
    “…The growing application of machine learning (ML) techniques in healthcare has led to increased interest in federated learning (FL), which enables the secure…”
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  7. 7

    Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-Based IIoT Networks by Yazdinejad, Abbas, Dehghantanha, Ali, Parizi, Reza M., Hammoudeh, Mohammad, Karimipour, Hadis, Srivastava, Gautam

    “…Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things…”
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  8. 8

    Efficient design and hardware implementation of the OpenFlow v1.3 Switch on the Virtex-6 FPGA ML605 by Yazdinejad, Abbas, Bohlooli, Ali, Jamshidi, Kamal

    Published in The Journal of supercomputing (01-03-2018)
    “…Software-defined network (SDN) has had the evolution of the current network with the aim of removing its restrictions so that the data plane has been separated…”
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  9. 9

    An optimized fuzzy deep learning model for data classification based on NSGA-II by Yazdinejad, Abbas, Dehghantanha, Ali, Parizi, Reza M., Epiphaniou, Gregory

    Published in Neurocomputing (Amsterdam) (14-02-2023)
    “…As a powerful paradigm, deep learning (DL) models have been used in many applications for classification tasks in images, text, and audio. Through DL models,…”
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  10. 10

    Federated learning for drone authentication by Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Karimipour, Hadis

    Published in Ad hoc networks (01-09-2021)
    “…The ever-rising applications of drones in the Internet of Things (IoT) era is offering many opportunities and challenges. Owing to drone abilities (silent…”
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  11. 11

    Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks by Yazdinejad, Abbas, Dehghantanha, Ali, Parizi, Reza M., Srivastava, Gautam, Karimipour, Hadis

    Published in Computers in industry (01-01-2023)
    “…Integrating blockchain into the Internet of Things (IoT) for security is a new development in computational communication systems. While security threats are…”
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  12. 12

    Two-Level Privacy-Preserving Framework: Federated Learning for Attack Detection in the Consumer Internet of Things by Rabieinejad, Elnaz, Yazdinejad, Abbas, Dehghantanha, Ali, Srivastava, Gautam

    Published in IEEE transactions on consumer electronics (01-02-2024)
    “…As the adoption of Consumer Internet of Things (CIoT) devices surges, so do concerns about security vulnerabilities and privacy breaches. Given their…”
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  13. 13

    An Energy-Efficient SDN Controller Architecture for IoT Networks With Blockchain-Based Security by Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Zhang, Qi, Choo, Kim-Kwang Raymond

    Published in IEEE transactions on services computing (01-07-2020)
    “…Internet of Things (IoT) is a disruptive technology in many aspects of our society, ranging from communications to financial transactions to national security…”
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  14. 14

    Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security by Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Karimipour, Hadis, Srivastava, Gautam, Aledhari, Mohammed

    Published in IEEE internet of things journal (15-04-2021)
    “…There is currently widespread use of drones and drone technology due to their rising applications that have come into fruition in the military, safety…”
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  15. 15

    P4-to-blockchain: A secure blockchain-enabled packet parser for software defined networking by Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Choo, Kim-Kwang Raymond

    Published in Computers & security (01-01-2020)
    “…•A secure blockchain-enabled packet parser for software defined networking.•Implementation of blockchain-enabled packet parser architecture using FPGA.•High…”
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  16. 16

    Federated Quantum-Based Privacy-Preserving Threat Detection Model for Consumer Internet of Things by Namakshenas, Danyal, Yazdinejad, Abbas, Dehghantanha, Ali, Srivastava, Gautam

    “…The Internet of Things (IoT) has significantly impacted the evolution of consumer-oriented smart environments, primarily due to its capacity for transformative…”
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  17. 17

    Cryptocurrency malware hunting: A deep Recurrent Neural Network approach by Yazdinejad, Abbas, HaddadPajouh, Hamed, Dehghantanha, Ali, Parizi, Reza M., Srivastava, Gautam, Chen, Mu-Yen

    Published in Applied soft computing (01-11-2020)
    “…In recent years, cryptocurrency trades have increased dramatically, and this trend has attracted cyber-threat actors to exploit the existing vulnerabilities…”
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  18. 18

    Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things by Yazdinejad, Abbas, Dehghantanha, Ali, Srivastava, Gautam, Karimipour, Hadis, Parizi, Reza M.

    Published in Journal of systems architecture (01-03-2024)
    “…While federated learning (FL) is a well-known privacy-preserving (PP) solution, recent studies demonstrate that it still has privacy problems and…”
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  19. 19

    A BERT-based recommender system for secure blockchain-based cyber physical drug supply chain management by Yazdinejad, Abbas, Rabieinejad, Elnaz, Hasani, Tahereh, Srivastava, Gautam

    Published in Cluster computing (01-12-2023)
    “…Drug Supply Chain Management (DSCM) can be one of the most affected streams in healthcare due to pandemics. The delivery of medicine to patients through DSCM…”
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  20. 20

    Blockchain-Enabled Authentication Handover With Efficient Privacy Protection in SDN-Based 5G Networks by Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Choo, Kim-Kwang Raymond

    “…5G mobile networks provide additional benefits in terms of lower latency, higher data rates, and more coverage, in comparison to 4G networks, and they are also…”
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