Browsing by Author "Erbad A."
Now showing items 1-20 of 68
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3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it ... -
A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cloud computing has been presented as one of the most efficient techniques for hosting and delivering services over the internet. However, even with its wide areas of application, cloud security is still a major concern ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ... -
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ... -
Anonymity and privacy in bitcoin escrow trades
( Association for Computing Machinery , 2019 , Conference Paper)As a decentralized cryptocurrency, Bitcoin has been in market for around a decade. Bitcoin transactions are thought to be pseudoanonymous, however, there were many attempts to deanonymize these transactions making use of ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)The increase in mobile traffic which is accompanied by a random workload, variations necessitate an upgrade of mobile network infrastructure to maintain acceptable network performance. Scaling the mobile core network ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core ... -
Blockchain Based Decentralized Trust Management framework
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The blockchain is a storage technology and transmission of information, transparent, secure, and operating without central control. In this paper, we propose a new decentralized trust management and cooperation model where ... -
CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems
( IEEE Computer Society , 2021 , Conference Paper)The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. ... -
CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Leveraging video caching to collaborative Mobile Edge Computing (MEC) servers is an emerging paradigm, where cloud computing services are extended to edge networks to allocate multimedia contents close to end-users. However, ... -
Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication
( Academic Press , 2020 , Article)To support multimedia applications, Mobile Edge Computing (MEC) servers offer storage and computing capacities to handle videos close to end-users. However, the high load in peak hours consumes the limited available bandwidth ... -
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
( Elsevier B.V. , 2022 , Article)Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ... -
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the last few years, the number of patients with chronic diseases requiring constant monitoring increased rapidly, which motivates researchers to develop scalable remote health applications. Nevertheless, the amount of ... -
Cybersecurity for industrial control systems: A survey
( Elsevier Ltd , 2020 , Article Review)Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
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, ... -
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ... -
DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
( Elsevier Inc. , 2019 , Article)Modern technology has pushed us into the information age, making it easier to generate and record vast quantities of new data. Datasets can help in analyzing the situation to give a better understanding, and more importantly, ... -
Edge computing for smart health: Context-aware approaches, opportunities, and challenges
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients while reducing costs is a challenging issue. Among the most promising ...
