Secure and robust digital image watermarking using coefficient differencing and chaotic encryption

NA Loan, NN Hurrah, SA Parah, JW Lee… - IEEE …, 2018 - ieeexplore.ieee.org
This paper presents a chaotic encryption-based blind digital image watermarking technique
applicable to both grayscale and color images. Discrete cosine transform (DCT) is used …

DeepRadioID: Real-time channel-resilient optimization of deep learning-based radio fingerprinting algorithms

F Restuccia, S D'Oro, A Al-Shawabka… - Proceedings of the …, 2019 - dl.acm.org
Radio fingerprinting provides a reliable and energy-efficient IoT authentication strategy by
leveraging the unique hardware-level imperfections imposed on the received wireless …

Deep learning for signal authentication and security in massive internet-of-things systems

A Ferdowsi, W Saad - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
Secure signal authentication is arguably one of the most challenging problems in the
Internet of Things (IoT), due to the large-scale nature of the system and its susceptibility to …

Generative adversarial networks for distributed intrusion detection in the internet of things

A Ferdowsi, W Saad - 2019 IEEE Global Communications …, 2019 - ieeexplore.ieee.org
To reap the benefits of the Internet of Things (IoT), it is imperative to secure the system
against cyber attacks in order to enable mission critical and real-time applications. To this …

Machine and deep learning for iot security and privacy: applications, challenges, and future directions

S Bharati, P Podder - Security and communication networks, 2022 - Wiley Online Library
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

Secure watermarking schemes and their approaches in the IoT technology: an overview

R Wazirali, R Ahmad, A Al-Amayreh, M Al-Madi… - Electronics, 2021 - mdpi.com
Information security is considered one of the most important issues in various infrastructures
related to the field of data communication where most of the modern studies focus on finding …

Secure and reliable wsn for internet of things: Challenges and enabling technologies

S Lata, S Mehfuz, S Urooj - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is an innovative technology with a broad range of
applications and highly attractive benefits, such as low cost of implementation and data …

[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions

H Kabir, ML Tham, YC Chang - Digital Communications and Networks, 2023 - Elsevier
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Neural combinatorial deep reinforcement learning for age-optimal joint trajectory and scheduling design in UAV-assisted networks

A Ferdowsi, MA Abd-Elmagid, W Saad… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this article, an unmanned aerial vehicle (UAV)-assisted wireless network is considered in
which a battery-constrained UAV is assumed to move towards energy-constrained ground …

Securing the internet of things and wireless sensor networks via machine learning: A survey

M Mamdouh, MAI Elrukhsi… - … Conference on Computer …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is the network where physical devices, sensors, appliances and
other different objects can communicate with each other without the need for human …