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Intelligent edge-based recommender system for internet of energy applications
(
Qatar University Press
, 2021 , Poster)
When investigating how people conserve energy, most researchers and decision-makers render a conceptual distinction between prevention (e.g. unplugging devices) and productivity measures. Nevertheless, such a two-dimensional ...
Real-Time Scheduling for Electric Vehicles Charging/Discharging Using Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the increase in Electric Vehicles (EVs) penetration, their charging needs form an additional burden on the grid. Thus, charging coordination is necessary for safe and efficient EV use. The scheduling of EVs is especially ...
Cyber Attack Detection for a Nonlinear Binary Crude Oil Distillation Column
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Cyber security for Industrial Control Systems (ICS) is increasingly becoming an area of research as advance network technology continues to evolve providing extended connectivity between cyber world and control system ...
A dual-isolation-forests-based attack detection framework for industrial control systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The cybersecurity of industrial control systems (ICSs) is becoming increasingly critical under the current advancement in the cyber activity and the Internet of Things (IoT) technologies, and their direct impact on several ...
Actuator Fault Diagnosis in Multi-Zone HVAC Systems using 2D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper presents a novel supervised on-line fault diagnosis strategy in Heating, Ventilation, and Air conditioning (HVAC) systems for actuator faults using 2D Convolutional Neural Networks. It is based on an efficient ...
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Despite AI’s significant growth, its “black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical ...
A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ...
Hierarchical security paradigm for iot multiaccess edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The rise in embedded and IoT device usage comes with an increase in LTE usage as well. About 70% of an estimated 18 billion IoT devices will be using cellular LTE networks for efficient connections. This introduces several ...
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ...
Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The security and privacy of the network in Internet of Things (IoT) systems are becoming more critical as we are still more dependent on smart systems. Considering that packets are exchanged between the end user and the ...