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A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
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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
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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 ...
Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things
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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 ...
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data ...
On Designing Smart Agents for Service Provisioning in Blockchain-powered Systems
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IEEE Computer Society
, 2021 , Article)
Service provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users Quality of Experience (QoE) and the operation cost endured by providers. These ...
3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
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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 ...
Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Existing techniques for incremental learning are computationally expensive and produce duplicate features leading to higher false positive and true negative rates. We propose a novel privacy-preserving intrusion detection ...
Hierarchical Federated Learning for Collaborative IDS in IoT Applications
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
As the Internet-of-Things devices are being very widely adopted in all fields, such as smart houses, healthcare, and transportation, extremely huge amounts of data are being gathered, shared, and processed. This fact raises ...
Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
In Internet of Things (IoT), a massive amount of sensitive data is generated and transmitted by IoT devices. Security risks represent a major concern in IoT, especially when using innovative techniques such as Non-Orthogonal ...
Ultra-Low Energy CNFET-Based Ternary Combinational Circuits Designs
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The embedded systems, IoT (Internet of Things) devices, and portable electronic devices spread very quickly recently. Most of them depend on batteries to operate. The target of this work is to decrease energy consumption ...