A survey on security, privacy, trust, and architectural challenges in IoT systems

M Adam, M Hammoudeh, R Alrawashdeh… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless
interaction of devices, individuals, and services, enabling data exchange and task execution …

Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

[HTML][HTML] A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique

A Alsirhani, MM Alshahrani, A Abukwaik… - Alexandria Engineering …, 2023 - Elsevier
Evaluating and forecasting stability across different conditions is essential since smart grid
stabilization is among the most significant characteristics that could be employed to assess …

[HTML][HTML] A novel optimized probabilistic neural network approach for intrusion detection and categorization

N Omer, AH Samak, AI Taloba… - Alexandria Engineering …, 2023 - Elsevier
Nowadays, the web provides all of the nation's daily necessities, and time spent online is
rising quickly. The Internet is being used more widely than ever. As a result, cyberattacks …

[HTML][HTML] Integrating blockchain and deep learning for intelligent greenhouse control and traceability

T Frikha, J Ktari, B Zalila, O Ghorbel… - Alexandria Engineering …, 2023 - Elsevier
This research presents a solution that combines deep learning-based image processing,
blockchain technology, and the Internet of Things (IoT) to achieve smarter control and …

[HTML][HTML] A novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time …

D Shivaramakrishna, M Nagaratna - Alexandria Engineering Journal, 2023 - Elsevier
The rapid proliferation of cloud computing has necessitated advanced security mechanisms
to safeguard sensitive data stored in remote servers. However, this paradigm shift has raised …

[HTML][HTML] Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection

A Alsirhani, MM Alshahrani, AM Hassan… - Alexandria Engineering …, 2023 - Elsevier
The smart grid is an innovation that employs two-way communications to give innovative
services to end consumers. Due to the severe contradictions in this connection, this system …

[HTML][HTML] Unleashing the power of Bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT …

F Antonius, JC Sekhar, VS Rao, R Pradhan… - Alexandria Engineering …, 2023 - Elsevier
Abstract The growth of IoT (Internet of Things) devices has revolutionized several industries
and brought about novel security threats. Recognizing network anomalies that may point to …

[HTML][HTML] Sentiment analysis for predicting stress among workers and classification utilizing CNN: Unveiling the mechanism

M Alruily - Alexandria Engineering Journal, 2023 - Elsevier
Stress is one of the main factors that affect the lives of many individuals' lives. Stressful work
situations cause significant levels of stress in many employees. Extreme stress can cause …

[HTML][HTML] An improved crow search optimization with Bi-LSTM model for identification and classification of COVID-19 infection from chest X-Ray images

A Rayan, AS Alaerjan - Alexandria Engineering Journal, 2023 - Elsevier
Deep learning has become an effective detection method as coronavirus disease 2019
(COVID-19) incidences are increasing quickly. Nevertheless, finding the best accurate …