Akash Yadav
Biographic Data
| ID | 6068619 |
|---|---|
| NAME | Akash Yadav |
| GIVEN NAMES | Akash |
| FAMILY NAME | Yadav |
| SIGNATURE | YADAV A |
| AFFILIATIONS | Rajiv Gandhi Institute of Petroleum Technology |
| ORCID | 0000-0001-8637-8570 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The evolving landscape of malware detection
Purpose The purpose of this study is the rapid evolution of malware encompassing viruses, worms, ransomware and spyware, which poses an escalating threat to global cybersecurity, necessitating the development of advanced detection techniques. Traditional signature-based methods have become increasingly ineffective against the sophisticated tactics used by polymorphic malware. Design/methodology/approach This study uses machine learning techniques…
Wildfire Threat to Inpatient Health Care Facilities in California, 2022
Objectives. To assess wildfire risks to California inpatient health care facilities in 2022. Methods. Locations of inpatient facilities and associated inpatient bed capacities were mapped in relation to California Department of Forestry and Fire Protection fire threat zones (FTZs), which combine expected fire frequency with potential fire behavior. We computed the distances of each facility to the nearest high, very high, and extreme FTZs. Result…
No prominent works on this page.
Wildfire Threat to Inpatient Health Care Facilities in California, 2022
Objectives. To assess wildfire risks to California inpatient health care facilities in 2022. Methods. Locations of inpatient facilities and associated inpatient bed capacities were mapped in relation to California Department of Forestry and Fire Protection fire threat zones (FTZs), which combine expected fire frequency with potential fire behavior. We computed the distances of each facility to the nearest high, very high, and extreme FTZs. Result…
The evolving landscape of malware detection
Purpose The purpose of this study is the rapid evolution of malware encompassing viruses, worms, ransomware and spyware, which poses an escalating threat to global cybersecurity, necessitating the development of advanced detection techniques. Traditional signature-based methods have become increasingly ineffective against the sophisticated tactics used by polymorphic malware. Design/methodology/approach This study uses machine learning techniques…
Advanced Malware Detection Techniques (1 work) · Business (1 work) · Cybercrime and Law Enforcement Studies (1 work) · Disaster Management and Resilience (1 work) · Environmental health (1 work) · Fire effects on ecosystems (1 work) · Flood Risk Assessment and Management (1 work) · Geography (1 work) · Health care (1 work) · Inpatient care (1 work)