Application of machine learning and deep learning in cybersecurity: An innovative approach

D Kaushik, M Garg, A Gupta… - … Approach to Modern …, 2022 - taylorfrancis.com
Machine learning (ML) and deep learning (DL) both drawn unparalleled community interest
recently. With a growing convergence of online activities and digital life, the way people …

Big data architecture for network security

B Bansal, VN Jenipher, R Jain, R Dilip… - Cyber security and …, 2022 - Wiley Online Library
Research is considering security of big data and retaining the performance during its
transmission over network. It has been observed that there have been several researches …

FuzzyNet-based modelling smart traffic system in smart cities using deep learning models

PK Mall, V Narayan, S Pramanik… - … of Research on Data …, 2023 - igi-global.com
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

[PDF][PDF] Wearable sensors for evaluation over smart home using sequential minimization optimization-based random forest

N Gupta, S Janani, R Dilip, R Hosur… - International Journal of …, 2022 - pmu.edu
In our everyday life records, human activity identification utilizing MotionNode sensors is
becoming more and more prominent. A difficult issue in ubiquitous computing and HCI is …

An effective secured privacy-protecting data aggregation method in IoT

S Pramanik - Achieving Full Realization and Mitigating the …, 2022 - igi-global.com
Because privacy concerns in IoT devices are the most sensitive of all the difficulties, such an
extreme growth in IoT usage has an impact on the privacy and life spans of IoT devices …

[PDF][PDF] Security enhancement by identifying attacks using machine learning for 5G network

H Keserwani, H Rastogi, AZ Kurniullah… - International Journal …, 2022 - researchgate.net
Need of security enhancement for 5G network has been increased in last decade. Data
transmitted over network need to be secure from external attacks. Thus there is need to …

Prediction of patients' incurable diseases utilizing deep learning approach

S Praveenkumar, V Veeraiah, S Pramanik… - International Conference …, 2023 - Springer
An accurate inquiry may aid timely infection diagnosis, patients' communal security, and
community amenities in today's world, where data is quickly develo** in fields such as …

A machine vision-based approach for tuberculosis identification in chest x-rays images of patients

V Vidya Chellam, V Veeraiah, A Khanna… - International Conference …, 2023 - Springer
Tuberculosis is an infectious disease that affects a significant number of people all over the
globe. The possibility of therapy does not exclude the need for an accurate diagnosis …

Impact of big data on digital transformation in 5G era

R Bansal, AJ Obaid, A Gupta, R Singh… - Journal of Physics …, 2021 - iopscience.iop.org
One of the potential top-level goals for 5G heterogeneous networks may be intellectual and
perfect network which modifies consumer preferences in a proactive manner in addition to …

Genetic algorithm and machine learning

RR Chandan, S Soni, A Raj, V Veeraiah… - … , Policies, and Reform, 2023 - igi-global.com
Genetic algorithm is based on the natural search process, which mimics natural growth and
employs approaches inspired by natural evolution to solve optimization problems …