Automatic target detection from satellite imagery using machine learning

A Tahir, HS Munawar, J Akram, M Adil, S Ali… - Sensors, 2022 - mdpi.com
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …

Chained-drones: Blockchain-based privacy-preserving framework for secure and intelligent service provisioning in internet of drone things

J Akram, M Umair, RH Jhaveri, MN Riaz, H Chi… - Computers and …, 2023 - Elsevier
We leverage blockchain technology for malicious node detection in Internet of Drone Things
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …

Using adaptive sensors for optimised target coverage in wireless sensor networks

J Akram, HS Munawar, AZ Kouzani, MAP Mahmud - Sensors, 2022 - mdpi.com
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …

Cloud-and fog-integrated smart grid model for efficient resource utilisation

J Akram, A Tahir, HS Munawar, A Akram, AZ Kouzani… - Sensors, 2021 - mdpi.com
The smart grid (SG) is a contemporary electrical network that enhances the network's
performance, reliability, stability, and energy efficiency. The integration of cloud and fog …

A new classification of target coverage models in wsns, survey and algorithms and future directions

A Boualem, C De Runz, H Kholidy, A Bengheni… - … Congress on Information …, 2024 - Springer
The importance given to addressing the k-target coverage problem (k≥ 1) in the wireless
sensor network, makes problem-solving spawn diverse domains, such as medicine (chronic …

Dronessl: Self-supervised multimodal anomaly detection in internet of drone things

J Akram, A Anaissi, W Othman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this study, we introduce a pioneering framework, DroneSSL, that integrates the concept of
spatial crowdsourcing with TinyML to enhance anomaly detection in the Internet of Drone …

Galtrust: Generative adverserial learning-based framework for trust management in spatial crowdsourcing drone services

J Akram, A Anaissi, RS Rathore… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the evolving landscape of consumer electronics, the Generative Adversarial Learning-
based Trust Management (GALTrust) framework emerges as a novel solution, uniquely …

BC-IoDT: blockchain-based framework for authentication in internet of drone things

J Akram, A Akram, RH Jhaveri, M Alazab… - Proceedings of the 5th …, 2022 - dl.acm.org
We leverage blockchain technology for drone node authentication in internet of drone things
(IoDT). During the authentication procedure, the credentials of drone nodes are examined to …

Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services

J Akram, A Anaissi, RS Rathore… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
We introduce" TMIoDT," a pioneering framework aimed at bolstering communication security
in the Internet of Drone Things (IoDT) integrated with Open Radio Access Networks (Open …

Efficient interest packet forwarding solution for ndn enabled internet of underwater things

A Arsalan, M Burhan, S Naseer… - 2022 17th International …, 2022 - ieeexplore.ieee.org
Recent growth in network architecture like the Internet of Underwater Thing (IoUT) and future
Internet paradigm like Named Data Network (NDN) has caught the scientific community's …