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Now showing items 11-20 of 26
Visible Forensic Investigation for Android Applications by Using Attack Scenario Reconstruction
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the widespread use of Android devices, research on their security has attracted increasing attention. However, at present, digital forensics for investigating attacks, such as social engineering attacks and phishing ...
Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The smart grid is already widespread for the purpose of managing energy generation and distribution. In this system, frequent interactions between devices generate mass data, which requires robust processing capability. ...
NOMA-based Joint Allocation and Offloading Strategy of Communication and Computing Resources
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
This paper proposes an offloading strategy for communication resources and computing resources. Based on the communication background of NOMA, this strategy combines D2D communication and cellular mobile communication to ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
Graph Mapping Offloading Model Based On Deep Reinforcement Learning With Dependent Task
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
In order to solve the problem of task offloading with dependent subtasks in mobile edge computing (MEC), we propose a graph mapping offloading model based on deep reinforcement learning (DRL). We model the user's computing ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the rapid elevation of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional cloud analytics-based approach is not suitable for a long time and secure health monitoring ...
Spatiotemporal Location Differential Privacy for Sparse Mobile Crowdsensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
مSparse Mobile Crowdsensing (SparseMCS) has become an efficient method for collecting and inferring sensor data at the urban scale, attracting many researchers' attention. However, there is a risk of location privacy being ...