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Hierarchical Federated Learning for Collaborative IDS in IoT Applications
(
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 ...
Evolution of Internet of Things from Blockchain to IOTA: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) is the new paradigm to the scaling nature of things and their elements, interconnected, exchanging data over a network supported with nodes. The Ubiquitous use of tiny devices and embedded sensor ...
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. IoT is one of the fastest developing fields in the history of computing, with an ...
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 ...
Public Security Surveillance System Using Blockchain Technology and Advanced Image Processing Techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
National security is a top priority to mitigate intrusions and criminal acts. Governments require robust national surveillance system that can cover all geographical areas, including the blind spots that may hold violence ...
Key Generation Based Fuzzy Logic and Elliptic Curve Cryptography for Internet of Things (IoT) Authentication
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The security and privacy of the network in the Internet of Things is playing an important challenge for researchers and engineers. Considering that packets are exchanged between the end user and the sensing devices, it is ...
Performance Analysis of IoT Physical layer Security Using 3-D Stochastic Geometry
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The internet of things (IoT) is becoming part of the infrastructure supporting various services in every day's life. Due to the complex nature of IoT systems with heterogeneous devices, the needed security and privacy ...
To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications
(
Elsevier B.V.
, 2020 , Article)
Traceability and autonomous business logic execution are highly desirable features in IoT monitoring applications. Traceability enables verifying signals history for security or analytical purposes. On the other hand, the ...
Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users
(
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 ...
Traffic Analysis Attacks on Tor: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The Tor anonymity network is one of the most popular and widely used tools to protect the privacy of online users. Tor provides defenses against multiple adversarial activities aiming to identify or trace the users. Traffic ...