Security Baseline for Substation Automation Systems

J Horalek, V Sobeslav - Sensors, 2023 - mdpi.com
The use of information technology and the automation of control systems in the energy
sector enables a more efficient transmission and distribution of electricity. However, in …

[HTML][HTML] Enhancing mobile security through comprehensive penetration testing

M Roshanaei - Journal of Information Security, 2024 - scirp.org
In today's era, where mobile devices have become an integral part of our daily lives,
ensuring the security of mobile applications has become increasingly crucial. Mobile …

Optimizing AI for Mobile Malware Detection by Self-Built-Dataset GAN Oversampling and LGBM

O Dayan, L Wolf, F Wang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The cyber detection industry focuses on analyzing the behavior of threats in order to develop
IOCs and triggers. This process makes the detection always behind the attackers, as there is …

[PDF][PDF] A Secure Framework for Blockchain Transactions Protection.

WN Al-Sharu, MK Qabalin, M Naser… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
One of the most extensively used technologies for improving the security of IoT devices is
blockchain technology. It is a new technology that can be utilized to boost the security. It is a …

[HTML][HTML] Artificial intelligence model to detect and classify arabic dialects

IS Alansari - Journal of Software Engineering and Applications, 2023 - scirp.org
The Arabic Dialect (AD) detection method involves analyzing the matching sound wave for
various characteristics that identify the speaker's dialect. Among these features are accent …

Malware Attack Detection in Large Scale Networks using the Ensemble Deep Restricted Boltzmann Machine

J Kumar, G Ranganathan - Engineering, Technology & Applied Science …, 2023 - etasr.com
Today, cyber attackers use Artificial Intelligence (AI) to boost the sophistication and scope of
their attacks. On the defense side, AI is used to improve defense plans, robustness …

Energy Grid Optimization Using Deep Machine Learning: A Review of Challenges and Opportunities

SK Fasogbon, SA Shaibu - 2023 - preprints.org
The optimization of the energy grid is a critical task for ensuring a sustainable and efficient
energy future. Deep machine learning techniques have the potential to improve energy grid …

5G wireless network-based cybersecurity analysis using software defined Phy_HetNets and Boltzmann encoder convolutional basis neural network

M Parasuraman, AK Munnangi, S Rajeyyagari… - International Conference …, 2023 - Springer
Abstract Machine learning [ML] is becoming more effective in the field of cybersecurity. The
main objective of applying ML in cybersecurity is to make malware detection more …

Approaches for Detecting and Predicting Attacks Based on Deep and Reinforcement Learning to Improve Information Security

N Hegde, SS Manvi - Convergence of Deep Learning and Internet of …, 2023 - igi-global.com
The continued growth and widespread use of the internet benefit many network users in
various ways. Meanwhile, network protection becomes increasingly essential as the internet …

[PDF][PDF] Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation. Antibiotics. 2023; 12 (3): 523

T Ali, S Ahmed, M Aslam - 2023 - researchgate.net
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …