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Zhenyu Wu - IEEE Xplore Author Profile

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Author details

Zhenyu Wu

Publications

7

Citations

103

Publications by Year

20192024

Co-Authors:

James D. BrownHan CaiMing-Ching ChangYuwei ChenYubei Chen

Show All Co-Authors (63)

Zhenyu Wu

Affiliation

Wormpex AI Research LLC

Bellevue

WA, USA

Publication Topics

Action Recognition,
Bounding Box,
Deep Learning,
Generative Adversarial Networks,
Multi-object Tracking,
Object Detection,
Point Cloud,
Quantitative Experiments,
Training Set,
Action Detection,
Action Labels,
Action Recognition Datasets

Biography

Zhenyu Wu received the B.Eng. degree from Shanghai Jiao Tong University in 2015 and the Ph.D. degree from Texas A&M University in 2021. His Ph.D. advisor was Dr. Zhangyang (Atlas) Wang. He is currently a Researcher with Wormpex AI Research. He is closely working with Dr. Zhou Ren, Dr. Yi Wu, and Dr. Gang Hua. His research interests include object detection, video understanding, efficient vision on embedded systems, and adversarial machine learning.(Based on document published on 23 May 2023).

Publications

7

Citations

103

Publications by Year

20192024

Co-Authors:

James D. Brown
Han Cai
Ming-Ching Chang
Yuwei Chen
Yubei Chen

Show All Co-Authors (63)

Author's Published Works

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Showing 1-25 of 95 results

Conferences (59)

Journals (36)

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Abhinav Kumar(91)
Linga Reddy Cenkeramaddi(22)
Kiran Kuchi(13)
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Yoghitha Ramamoorthi(8)
Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India(17)
Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, Telangana, India(14)
Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India(11)
Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Telangana, India(9)
Department of Information and Communication Technology, University of Agder, Grimstad, Norway(8)
IEEE Sensors Journal(8)
IEEE Access(5)
IEEE Wireless Communications Letters(4)
2018 10th International Conference on Communication Systems & Networks (COMSNETS)(3)
2018 Twenty Fourth National Conference on Communications (NCC)(3)
IEEE(95)
Bengaluru, India(11)
Bangalore, India(9)
Hyderabad, India(5)
Austin, TX, USA(2)
Bhubaneswar, India(2)
Base Station(34)
Cellular Networks(21)
Signal-to-interference-plus-noise Ratio(21)
Non-orthogonal Multiple Access(19)
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Adaptive Numerology-based Rate Optimization for enhanced-Vehicle-to-Everything Use Cases in Beyond 5G Networks

Nadine Hasan;Abhinav Kumar;Kotaro Kataoka

2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)

Year: 2025 | Conference Paper |

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The existing 5G new radio (NR) numerology supports certain values of parameters like subcarrier spacing, symbol duration, and guard interval for vehicle-to-everything (V2X) communications. However, with ever evolving use cases for enhanced-V2X in beyond 5G networks, these recommended values are not sufficient to provide the required quality of service (QoS). Motivated by this, we propose an adapti...Show More

Adaptive Numerology-based Rate Optimization for enhanced-Vehicle-to-Everything Use Cases in Beyond 5G Networks

Nadine Hasan;Abhinav Kumar;Kotaro Kataoka

2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)

Year: 2025 | Conference Paper |

Leveraging Mixture Alignment for Multi-Source Domain Adaptation

Aveen Dayal;Shrusti S.;Linga Reddy Cenkeramaddi;C. Krishna Mohan;Abhinav Kumar

IEEE Transactions on Image Processing

Year: 2025 | Volume: 34 | Journal Article |

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In a conventional Domain Adaptation (DA) setting, we only have one source and target domain, whereas, in many real-world applications, data is often collected from several related sources in different conditions. This has led to a more practical and challenging knowledge transfer problem called Multi-source Domain Adaptation (MDA). Several methodologies, such as prototype matching, explicit distan...Show More

Leveraging Mixture Alignment for Multi-Source Domain Adaptation

Aveen Dayal;Shrusti S.;Linga Reddy Cenkeramaddi;C. Krishna Mohan;Abhinav Kumar

IEEE Transactions on Image Processing

Year: 2025 | Volume: 34 | Journal Article |

Handover Algorithms for Enhanced Throughput in a Hybrid OMA-NOMA System with Imperfect SIC

Abhirami S;Nemalidinne Siva Mouni;Sai Dhiraj Amuru;Abhinav Kumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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In fifth generation (5G) and beyond networks, the millimeter-wave frequency band is expected to cater to the ever increasing user demand for enhanced data rates. However, the denser deployments in mmwave with varying user velocities, will lead to frequent handovers (HOs), resulting in degradation of quality of service (QoS) for the end user in terms of both the number of HOs and lower throughput. ...Show More

Handover Algorithms for Enhanced Throughput in a Hybrid OMA-NOMA System with Imperfect SIC

Abhirami S;Nemalidinne Siva Mouni;Sai Dhiraj Amuru;Abhinav Kumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Optimizing Time Scheduling for Hybrid OMA-NOMA Systems Under Imperfect SIC: An $\alpha$-Fair Utility Approach

Nemalidinne Siva Mouni;Pranay Agarwal;Yoghitha Ramamoorthi;Abhinav Kumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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We formulate a scheduling problem to derive the optimal time fraction jointly for a hybrid orthogonal multiple access (OMA)-non-orthogonal multiple access (NOMA) system using the $\alpha$ ·fair utility function, while accounting for imper-fections in successive interference cancellation (SIC). Our study demonstrates that the optimal solution derived through a solver matches the theoretical results...Show More

Optimizing Time Scheduling for Hybrid OMA-NOMA Systems Under Imperfect SIC: An $\alpha$-Fair Utility Approach

Nemalidinne Siva Mouni;Pranay Agarwal;Yoghitha Ramamoorthi;Abhinav Kumar

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Are Standard CNNs Good Enough for No-Reference Stereoscopic Image Quality Assessment?

Ishita Bardhan;Sumohana Channappayya;Abhik Banerjee;Abdur Rahim Mohammad Forkan;Prem Jayaraman;Abhinav Kumar

2024 International Conference on Signal Processing and Communications (SPCOM)

Year: 2024 | Conference Paper |

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Perceptual quality metrics derived from deep features have led to a boost in modelling the Human Visual System (HVS) to perceive the quality of visual content. In this work, we study the effectiveness of fine-tuning three standard convolutional neural networks (CNNs) viz. ResNet50, VGG16 and MobileNetV2 to predict the quality of stereoscopic images in the no-reference setting. This work also aims ...Show More

Are Standard CNNs Good Enough for No-Reference Stereoscopic Image Quality Assessment?

Ishita Bardhan;Sumohana Channappayya;Abhik Banerjee;Abdur Rahim Mohammad Forkan;Prem Jayaraman;Abhinav Kumar

2024 International Conference on Signal Processing and Communications (SPCOM)

Year: 2024 | Conference Paper |

Dynamic Targets Occupancy Status Detection Utilizing mmWave Radar Sensor and Ensemble Machine Learning

Amala Sonny;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Open Journal of the Industrial Electronics Society

Year: 2024 | Volume: 5 | Journal Article |

Cited by: Papers (1)

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Rapid advancements in communication technologies in the Internet of Things (IoT) domain have had an impact on the application of positioning technology across multiple domains. Although there have been numerous fully fledged approaches for detection and localization in outdoor scenarios, due to high path loss and shadowing, these are insufficiently accurate in indoor scenarios. The primary enabler...Show More

Dynamic Targets Occupancy Status Detection Utilizing mmWave Radar Sensor and Ensemble Machine Learning

Amala Sonny;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Open Journal of the Industrial Electronics Society

Year: 2024 | Volume: 5 | Journal Article |

Kimochi: a Career Guidance and Mentorship Network for Rural Underprivileged Kids

Abhinav Kumar;Pawan Kumar Mishra;Darshini Tongbram;Thumula Shashidhar Rao;Viren Soni;Jarpula Bhanu Prasad;Aoki Shunsuke;Suzuki Miwa;Tokuno Eri;Takayama Taisei;Inoue Satoru

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2024 | Conference Paper |

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In a rapidly evolving world, every child should have the opportunity to dream and, more importantly, the tools to achieve those dreams. India, with its diverse educational landscape, faces a substantial gap in providing career guidance and mentorship to rural students. In the current scenario, while the rest of India is flourishing in the education sector, its hinterland is critically facing a gap...Show More

Kimochi: a Career Guidance and Mentorship Network for Rural Underprivileged Kids

Abhinav Kumar;Pawan Kumar Mishra;Darshini Tongbram;Thumula Shashidhar Rao;Viren Soni;Jarpula Bhanu Prasad;Aoki Shunsuke;Suzuki Miwa;Tokuno Eri;Takayama Taisei;Inoue Satoru

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2024 | Conference Paper |

Adaptive Multi-User Clustering and Power Allocation for Hybrid OMA-NOMA System with Imperfect SIC

Nemalidinne Siva Mouni;Pavan Reddy M.;Abhinav Kumar;Prabhat K. Upadhyay;Maurizio Magarini

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2024 | Conference Paper |

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Non-orthogonal multiple access (NOMA) faces challenges from imperfect successive interference cancellation (SIC) impacting the achievable rates of the users. Addressing this, our hybrid OMA-NOMA system introduces a lower bound on power allocation factors, ensuring each user in a multi-user NOMA cluster achieves at least its corresponding orthogonal multiple access (OMA) rate. We propose a clusteri...Show More

Adaptive Multi-User Clustering and Power Allocation for Hybrid OMA-NOMA System with Imperfect SIC

Nemalidinne Siva Mouni;Pavan Reddy M.;Abhinav Kumar;Prabhat K. Upadhyay;Maurizio Magarini

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2024 | Conference Paper |

RL-Based Energy-Efficient Data Transmission Over Hybrid BLE/LTE/Wi-Fi/LoRa UAV-Assisted Wireless Network

Wilson Ayyanthole Nelson;Sreenivasa Reddy Yeduri;Ajit Jha;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 3 | Journal Article |

Cited by: Papers (3)

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The lifetime of a UAV-assisted wireless network is determined by the amount of energy consumed by the UAVs during flight, data collection, and transmission to the ground station. Routing protocols are commonly used for data transmission in a communication network. However, because of the mobility of UAVs, using a routing protocol with a single communication technology results in higher delay and m...Show More

RL-Based Energy-Efficient Data Transmission Over Hybrid BLE/LTE/Wi-Fi/LoRa UAV-Assisted Wireless Network

Wilson Ayyanthole Nelson;Sreenivasa Reddy Yeduri;Ajit Jha;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE/ACM Transactions on Networking

Year: 2024 | Volume: 32, Issue: 3 | Journal Article |

Ensemble Learning-based Sybil Attacks Detection in Smart Meter Network

Anakhi Hazarika;Abhinav Kumar

2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

Year: 2023 | Conference Paper |

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A smart meter provides real-time monitoring and recording of the electricity, gas, or water at a consumer level. Further, smart meters offer remote monitoring, better resource management, and the ability to provide detailed usage information to both consumers and utility companies. However, smart meters are prone to significant potential threats, vulnerabilities, and risks that could compromise th...Show More

Ensemble Learning-based Sybil Attacks Detection in Smart Meter Network

Anakhi Hazarika;Abhinav Kumar

2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

Year: 2023 | Conference Paper |

Estimation of UAV Count Using Thermal Imaging and Lightweight CNN

Wilson A N;Ajit Jha;Abhinav Kumar;Linga Reddy Cenkeramaddi

2023 11th International Conference on Control, Mechatronics and Automation (ICCMA)

Year: 2023 | Conference Paper |

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Illegal and improper use of UAVs has damaged public property and challenged the safety and security of the civilian population. Due to their small form factor, UAVs are undetectable using conventional aircraft detecting methods. In this work, we have addressed this issue by utilizing thermal images to detect and estimate the UAV count in a multi-UAV setting. Thermal imaging-based detection provide...Show More

Estimation of UAV Count Using Thermal Imaging and Lightweight CNN

Wilson A N;Ajit Jha;Abhinav Kumar;Linga Reddy Cenkeramaddi

2023 11th International Conference on Control, Mechatronics and Automation (ICCMA)

Year: 2023 | Conference Paper |

Short Packet Communications in UAV-NOMA System With Imperfect SIC

Nemalidinne Siva Mouni;Sreenivasa Reddy Yeduri;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Communications Letters

Year: 2023 | Volume: 27, Issue: 10 | Journal Article |

Cited by: Papers (8)

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Recently, unmanned aerial vehicle (UAV)-assisted wireless communication systems gained a lot of attention due to the provision of highly probable line-of-sight communication links. However, reliable UAV communication with the base station is crucial for the control and non-payload communication (CNPC) to smoothly assist the application of UAVs. Specific to CNPC requiring less latency and high reli...Show More

Short Packet Communications in UAV-NOMA System With Imperfect SIC

Nemalidinne Siva Mouni;Sreenivasa Reddy Yeduri;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Communications Letters

Year: 2023 | Volume: 27, Issue: 10 | Journal Article |

Carry Object Detection Utilizing mmWave Radar Sensors and Ensemble-Based Extra Tree Classifiers on the Edge Computing Systems

Amala Sonny;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 17 | Journal Article |

Cited by: Papers (6)

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Indoor human-carried object detection refers to the use of technologies and methods to detect objects that may be carried by individuals in indoor environments. This can include weapons, explosives, drugs, or other contraband that may endanger the safety and security of individuals or facilities. Detecting potential threats carried by individuals inside buildings is thus a critical and ongoing req...Show More

Carry Object Detection Utilizing mmWave Radar Sensors and Ensemble-Based Extra Tree Classifiers on the Edge Computing Systems

Amala Sonny;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 17 | Journal Article |

Double Deep Reinforcement Learning assisted Handovers in 5G and Beyond Cellular Networks

Shweta Verma;S Abhirami;Abhinav Kumar;Sai Dhiraj Amuru

2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2023 | Conference Paper |

Cited by: Papers (3)

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In 5G and beyond cellular networks, the typical cell size has been reducing to provide higher data rates and meet the low latency requirements. Such ultra-dense deployments of base stations results in frequent handovers (HOs) of the user equipment. In this poster, we utilize the state-of-the-art double deep reinforcement learning (DDRL) framework to enhance the performance with respect to handover...Show More

Double Deep Reinforcement Learning assisted Handovers in 5G and Beyond Cellular Networks

Shweta Verma;S Abhirami;Abhinav Kumar;Sai Dhiraj Amuru

2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2023 | Conference Paper |

Enhanced User Pairing and Power Allocation Strategies for Downlink NOMA Systems with Imperfections in SIC

Nemalidinne Siva Mouni;M. Pavan Reddy;Abhinav Kumar;Prabhat K. Upadhyay

2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2023 | Conference Paper |

Cited by: Papers (5)

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Non-orthogonal multiple access (NOMA) is a key energy and spectrally-efficient multiple access technique. In this poster, we analyze the adaptive multi-user clustering (AMUC) for the downlink NOMA systems in the presence of imperfections in successive interference cancellation (SIC) and propose various user arrangements and power allocation strategies. Given a cluster arrangement, we initially all...Show More

Enhanced User Pairing and Power Allocation Strategies for Downlink NOMA Systems with Imperfections in SIC

Nemalidinne Siva Mouni;M. Pavan Reddy;Abhinav Kumar;Prabhat K. Upadhyay

2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)

Year: 2023 | Conference Paper |

Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition Using Thermal Images

Aveen Dayal;M. Aishwarya;S. Abhilash;C. Krishna Mohan;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 4 | Journal Article |

Cited by: Papers (54)

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Hand gesture recognition has a wide range of applications, including in the automotive and industrial sectors, health assistive systems, authentication, and so on. Thermal images are more resistant to environmental changes than red–green–blue (RGB) images for hand gesture recognition. However, one disadvantage of using thermal images for the aforementioned task is the scarcity of labeled thermal d...Show More

Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition Using Thermal Images

Aveen Dayal;M. Aishwarya;S. Abhilash;C. Krishna Mohan;Abhinav Kumar;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 4 | Journal Article |

Recent Advances in Thermal Imaging and its Applications Using Machine Learning: A Review

A. N. Wilson;Khushi Anil Gupta;Balu Harshavardan Koduru;Abhinav Kumar;Ajit Jha;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 4 | Journal Article |

Cited by: Papers (48)

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Recent advancements in thermal imaging sensor technology have resulted in the use of thermal cameras in a variety of applications, including automotive, industrial, medical, defense and space, agriculture, and other related fields. Thermal imaging, unlike RGB imaging, does not rely on background light, and the technique is nonintrusive while also protecting privacy. This review article focuses on ...Show More

Recent Advances in Thermal Imaging and its Applications Using Machine Learning: A Review

A. N. Wilson;Khushi Anil Gupta;Balu Harshavardan Koduru;Abhinav Kumar;Ajit Jha;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 4 | Journal Article |

Multitarget Angle of Arrival Estimation Using Rotating mmWave FMCW Radar and Yolov3

A. N. Wilson;Abhinav Kumar;Ajit Jha;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 3 | Journal Article |

Cited by: Papers (3)

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It is still challenging to accurately localize unmanned aerial vehicles (UAVs) from a ground control station (GCS) using various sensors. The mmWave frequency-modulated continuous wave (FMCW) radars offer excellent performance for target detection and localization in harsh environments and low lighting conditions. However, the estimated angle of arrival (AoA) of targets in the captured scene is qu...Show More

Multitarget Angle of Arrival Estimation Using Rotating mmWave FMCW Radar and Yolov3

A. N. Wilson;Abhinav Kumar;Ajit Jha;Linga Reddy Cenkeramaddi

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 3 | Journal Article |

Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network

Prabhat Kumar;Randhir Kumar;Abhinav Kumar;A. Antony Franklin;Sahil Garg;Satinder Singh

IEEE Transactions on Network Science and Engineering

Year: 2023 | Volume: 10, Issue: 5 | Journal Article |

Cited by: Papers (36)

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The rapid expansion of the Industrial Internet of Things (IIoT) necessitates the digitization of industrial processes in order to increase network efficiency. The integration of Digital Twin (DT) with IIoT digitizes physical objects into virtual representations to improve data analytics performance. Nevertheless, DT empowered IIoT generates a massive amount of data that is mostly sent to the cloud...Show More

Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network

Prabhat Kumar;Randhir Kumar;Abhinav Kumar;A. Antony Franklin;Sahil Garg;Satinder Singh

IEEE Transactions on Network Science and Engineering

Year: 2023 | Volume: 10, Issue: 5 | Journal Article |

α-Fairness based User Pairing for Downlink NOMA Systems with Imperfect SIC

Nemalidinne Siva Mouni;Pavan M. Reddy;Abhinav Kumar;Prabhat K. Upadhyay

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Non-orthogonal multiple access (NOMA) is consid-ered as one of the predominant multiple access techniques for next-generation cellular networks. We consider a 2-user pair downlink NOMA system with imperfect successive interference cancellation (SIC). We consider bounds on the power allocation factors and then formulate the power allocation as an optimization problem to achieve α-Fairness among the...Show More

α-Fairness based User Pairing for Downlink NOMA Systems with Imperfect SIC

Nemalidinne Siva Mouni;Pavan M. Reddy;Abhinav Kumar;Prabhat K. Upadhyay

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Year: 2022 | Conference Paper |

User Pairing and Power Allocation for IRS-Assisted NOMA Systems With Imperfect Phase Compensation

Pavan Reddy M;Abhinav Kumar

IEEE Wireless Communications Letters

Year: 2022 | Volume: 11, Issue: 12 | Journal Article |

Cited by: Papers (10)

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In this letter, we analyze the performance of the intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) systems in the presence of imperfect phase compensation. We derive an upper bound on the imperfect phase compensation to achieve minimum required data rate for each user. Using this bound, we propose an adaptive user pairing algorithm to maximize the networ...Show More

User Pairing and Power Allocation for IRS-Assisted NOMA Systems With Imperfect Phase Compensation

Pavan Reddy M;Abhinav Kumar

IEEE Wireless Communications Letters

Year: 2022 | Volume: 11, Issue: 12 | Journal Article |

Spectral and Energy Efficient User Pairing for RIS-assisted Uplink NOMA Systems with Imperfect Phase Compensation

P. Kusuma Priya;M. Pavan Reddy;Abhinav Kumar

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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Non-orthogonal multiple access (NOMA) is considered a key technology for improving the spectral efficiency of fifth-generation (5G) and beyond 5G cellular networks. NOMA is beneficial when the channel vectors of the users are in the same direction, which is not always possible in conventional wireless systems. With the help of a reconfigurable intelligent surface (RIS), the base station can contro...Show More

Spectral and Energy Efficient User Pairing for RIS-assisted Uplink NOMA Systems with Imperfect Phase Compensation

P. Kusuma Priya;M. Pavan Reddy;Abhinav Kumar

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

Year: 2022 | Conference Paper |

Probabilistic analysis of context caching in Internet of Things applications

H. S. Khargharia;P. P. Jayaraman;A. Banerjee;A. Zaslavsky;A. Hassani;A. Abken;A. Kumar

2022 IEEE International Conference on Services Computing (SCC)

Year: 2022 | Conference Paper |

Cited by: Papers (8)

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Context caching plays an increasingly important role in delivering near real-time responses for context-aware distributed Internet of Things (IoT) applications, services and systems. A context management platform (CMP), a middleware which acts as an aggregator and redirector of contextual information to support smart IoT applications, requires adaptive context caching to process and manage enormou...Show More

Probabilistic analysis of context caching in Internet of Things applications

H. S. Khargharia;P. P. Jayaraman;A. Banerjee;A. Zaslavsky;A. Hassani;A. Abken;A. Kumar

2022 IEEE International Conference on Services Computing (SCC)

Year: 2022 | Conference Paper |

Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs

Prabhat Kumar;Randhir Kumar;Abhinav Kumar;A. Antony Franklin;Alireza Jolfaei

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

Cited by: Papers (17)

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Softwarized Unmanned Aerial Vehicles (UAVs) use network programmability concept of Software-Defined Network (SDN) to separate the hardware control layer from the data layer via OpenFlow protocols. The softwarized UAV enable ubiquitous connection, as well as a flexible, cost-effective, and improved method for upgrading all network services without shutting down the entire system. However, the conne...Show More

Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs

Prabhat Kumar;Randhir Kumar;Abhinav Kumar;A. Antony Franklin;Alireza Jolfaei

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

Blockchain and Deep Learning for Cyber Threat-Hunting in Software-Defined Industrial IoT

Randhir Kumar;Prabhat Kumar;Abhinav Kumar;A. Antony Franklin;Alireza Jolfaei

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

Cited by: Papers (7)

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The softwarized infrastructure of Software-Defined Industrial Internet of Things (SDIIoT) offers a cost-effective solution to improve flexibility and reliability in network management but faces several critical challenges. First, th Majority of SDIIoT entities operate over wireless channel, which expose them to a variety of attacks (e.g., man-in-the-middle, replay, and impersonation attacks) and a...Show More

Blockchain and Deep Learning for Cyber Threat-Hunting in Software-Defined Industrial IoT

Randhir Kumar;Prabhat Kumar;Abhinav Kumar;A. Antony Franklin;Alireza Jolfaei

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2022 | Conference Paper |

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