[HTML][HTML] Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning
S Srinivasan, P Deepalakshmi - Measurement: Sensors, 2023 - Elsevier
With various malware, botnets are the legitimate risk increasing against cybersecurity
providing criminal operations like malware dispersal, distributed denial of service attacks …
providing criminal operations like malware dispersal, distributed denial of service attacks …
[HTML][HTML] ENetRM: ElasticNet Regression Model based malicious cyber-attacks prediction in real-time server
S Srinivasan, P Deepalakshmi - Measurement: Sensors, 2023 - Elsevier
Recently, cyber-attacks used unusual different malicious code or highly developed attack
approaches like zero-day attacks which makes the process of detection more complex and …
approaches like zero-day attacks which makes the process of detection more complex and …
An innovative malware detection methodology employing the amalgamation of stacked BiLSTM and CNN+ LSTM‐based classification networks with the assistance of …
S Srinivasan, P Deepalakshmi - Concurrency and Computation …, 2023 - Wiley Online Library
The propagation of bias and its data have sensitive and critical security enterprises, which
emphasizing the significance of perfecting state‐of‐the‐art intrusion discovery systems …
emphasizing the significance of perfecting state‐of‐the‐art intrusion discovery systems …