The effect of artificial intelligence on cybersecurity

A Ali, MA Khan, K Farid, SS Akbar… - … for Technology and …, 2023 - ieeexplore.ieee.org
Cyber-attacks present a greater threat to individuals and the security of the modern state in
the globalized world. Artificial intelligence offers several tools that can be used to improve …

Machine Learning Approaches for DDoS Attack Detection: Naive Bayes vs Logistic Regression

R Latha, SJJ Thangaraj - 2023 Second International …, 2023 - ieeexplore.ieee.org
DDoS assaults are one of the biggest cyber threats. These attacks flood servers with
malicious traffic to prevent them from serving legitimate users. In this case, the server's …

Enhancing Network Slicing Efficiency in Self-Organizing Networks Using Quantum Computing

AR Borah - 2023 4th International Conference on Smart …, 2023 - ieeexplore.ieee.org
With the proliferation of mobile devices and the growing demand for diverse applications,
network operators are facing significant challenges in efficiently managing and optimizing …

Nonlinear Effect Model of Fiscal Expenditure on Economic Growth Based on Constrained Clustering Algorithm

AH Alawadi, P Khatarkar, MS Sheela… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
In the current market, the adjustment of the market itself alone is far from being able to cope
with the increasingly complex economic situation. Excessive increase in fiscal expenditure …

Machine Learning-Based Intrusion Detection Systems for Enhancing Cybersecurity

A Mohamed, J Heilala… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Intrusion detection systems (IDS) that are powered by machine learning have become an
important tool for enhancing online security due to their capacity to detect and respond …

IoT-Driven Predictive Maintenance in Industrial Settings through a Data Analytics Lens

P Muneeshwari, R Suguna… - … on Trends in …, 2024 - ieeexplore.ieee.org
Predictive maintenance in industrial settings has seen significant advancements through the
integration of Internet of Things (IoT) technologies and data analytics. This study outlines a …

Optimizing Power Consumption in Wireless Sensor Networks for Prolonged Sustainability

C Sivasankar, EK Subramanian… - … on Advances in …, 2024 - ieeexplore.ieee.org
As Wireless Sensor Networks (WSNs) grow rapidly, power optimization for sustainability and
efficiency is needed. This study offers a complete energy-saving and WSN-extending …

Leveraging Machine Learning for Real-time Anomaly Detection and Self-Repair in IoT Devices

SA Ali, D Sujatha, RTF Michael… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) gadgets have completely transformed a number of different
businesses by producing enormous amounts of data. A machine learning framework for real …

Protecting Data from DDOS Attack in a Cloud Based Intrusion Detection System Security through Enhanced RSA Algorithm

PK Naik, S Divya, M Mohan, J Velusamy… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
Since cloud computing platforms have become an essential component in a range of
different industries, it is still challenging to ensure that user data and system resources will …

Evaluating the Robustness of Neural Networks Against Adversarial Perturbations

CR Bhat, J Nandhini, S Narayanasamy… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
N eural networks have impressive powers in the field of deep learning and have been used
in many different applications. Nevertheless, the issue of robustness against deliberate …