An intellectual methodology for secure health record mining and risk forecasting using clustering and graph-based classification
D Shiny Irene, V Surya, D Kavitha… - Journal of Circuits …, 2021 - World Scientific
The objective of the research work is to analyze and validate health records and securing
the personal information of patients is a challenging issue in health records mining. The risk …
the personal information of patients is a challenging issue in health records mining. The risk …
Enhancing detection of R2L attacks by multistage clustering based outlier detection
The modern society is greatly benefited by the advancement of Internet. The contemporary
humanity is significantly profited by the Internet. The ease of access to the Internet have …
humanity is significantly profited by the Internet. The ease of access to the Internet have …
Detection of cyber attacks using machine learning
N Vadivelan, K Bhargavi, S Kodati… - AIP Conference …, 2022 - pubs.aip.org
Cyber security professionals pay greater regard to risk evaluation and propose techniques
for mitigating. Throughout the area of cyber defense, designing successful strategies was a …
for mitigating. Throughout the area of cyber defense, designing successful strategies was a …
Secure internet of battlefield from malicious software using deep eigenspace learning
K Bhargavi, N Vadivelan, S Kodati… - AIP Conference …, 2022 - pubs.aip.org
In military cases, the Internet of Things (IoT) is normally made of a variety and nodes for the
Internet (eg Portable military jackets as well as diagnostic equipment). This IoT system and …
Internet (eg Portable military jackets as well as diagnostic equipment). This IoT system and …
[PDF][PDF] Iris Recognition: A Machine Learning Approach with Advanced Classifiers
B Govardhan, EA Babu - ijte.uk
A Security Information and Event Management framework is set up to work on the different
safeguard advances and banner admonitions for security episodes to safeguard an …
safeguard advances and banner admonitions for security episodes to safeguard an …
[PDF][PDF] A User-Centric Deep Learning Agenda for Cyber Security Operations applicant
MM Rao, K Ramakrishna, NRK Sri - zkginternational.com
A SIEM (Security Information and Event Management) framework is set up to work on the
different safeguard advances and banner admonitions for security episodes to safeguard an …
different safeguard advances and banner admonitions for security episodes to safeguard an …
[PDF][PDF] Deep Learning-Based User-Centric Agenda for Cyber Security Operations Applicant
SM RAFI, C VINOD, YY BABU - ijte.uk
A Security Information and Event Management framework is set up to work on the different
safeguard advances and banner admonitions for security episodes to safeguard an …
safeguard advances and banner admonitions for security episodes to safeguard an …
[PDF][PDF] Cyber Security Operations Centre: A User-Cantered Machine Learning Framework
S Nalanagula, A Roy - academia.edu
To guarantee an organization's Internet security, SIEM (Security Information and Event
Management) framework is about up to disentangle the different preventive advances and …
Management) framework is about up to disentangle the different preventive advances and …
[PDF][PDF] Detection of Cyber Attacks Using Machine Learning Techniques
AN Rejy, SK Mishra - ijirtm.com
Professionals in cyber security give risk assessment more consideration and provide ways
to mitigate it. Designing effective methods was a goal established for the field of cyber …
to mitigate it. Designing effective methods was a goal established for the field of cyber …