DDoS attacks in Industrial IoT: A survey

S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …

[PDF][PDF] The application of machine learning to the prediction of heart attack.

R Regin, SS Rajest, T Shynu… - International Journal of …, 2023 - researchgate.net
Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …

Intelligent video recommendation and interactive e-learning mode for English teaching courses based on machine learning

Y He, S Liu - Entertainment Computing, 2025 - Elsevier
With the continuous deepening of intelligent education in China, English education is
receiving increasing attention, and educational reform is urgent. However, English …

Layered management approach to cyber security of IoT solutions

E Ozdoğan, R Das - International Journal of Grid and Utility …, 2023 - inderscienceonline.com
The Internet of Things consists of devices, each with its own vulnerabilities and
interconnected by various technologies. This broad spectrum, a combination of old and new …

[PDF][PDF] OTP As a Service in the Cloud Allows for Authentication of Multiple Services

T Shynu, SS Rajest, R Regin - International Journal on Orange …, 2023 - researchgate.net
Annotation: Users no longer trust traditional password-based authentication methods since
so many online services now interact with one another. Credentials obtained online are …

Amplification Chamber: Dissecting the Attack Infrastructure of Memcached DRDoS Attacks

M Kondo, R Tanabe, N Shintani, D Makita… - … on Detection of …, 2022 - Springer
Distributed and reflective denial-of-service (DRDoS) attacks have been one of the most
devastating and harmful threats on the Internet. By abusing open Internet services such as …

[HTML][HTML] Machine Learning Based Mammogram Classification for Breast Cancer Diagnosis Using Neural Networks

R Akashraj, A Muthukumaravel - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
Among females, breast cancer is high as a major killer. Breast cancer is easily diagnosed
when anomalies are spotted in their earliest stages. Accurately diagnosing breast cancer …

[PDF][PDF] Sound Waves Entering the Ear Using MP3 Decibel Level Optimizer

CR Rathish, R Regin, SS Rajest - 2022 - researchgate.net
Annotation: The MP3 Decibel Level Optimizer is a project that was developed to optimise the
loudness of an audio clip by resetting it to its ideal level. This is accomplished by adjusting …

Improving reactive capabilities of internet peering infrastructure in stressful situations

DJP Wagner - 2023 - publikationen.sulb.uni-saarland.de
The Internet has revolutionized communication, entertainment, and access to information
since its inception. All of this depends on a resilient Internet infrastructure. Resilience is …

[PDF][PDF] Classification of Sarcastic and Non-Sarcastic Tweets Using Machine Learning

EJ Selcia, V Dhivya - context, 2022 - academia.edu
When someone is being sarcastic, they are expressing their negative emotions through the
use of positive or exaggerated positive language. A person's tone of voice and body …