Publication2024
An Effective Feed Forward Neural Network Model for Detection of Malware
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Proceedings of 2nd International Conference on Advancements in Smart Secure and Intelligent Computing Assic 2024
- Published
- 1 January 2024
- DOI
- 10.1109/assic60049.2024.10507929
- Scopus ID
- 85193011636
- Authors
- 5
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Feed forward neural network achieving 99.96% malware detection accuracy addresses cybersecurity threats to computer systems and national digital infrastructure security
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advanced deep learning model optimization using RMSprop and SGD for malware detection advancing artificial intelligence research capacity in cybersecurity
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Machine learning research for malware detection contributing to cybersecurity and national security by protecting digital systems from emerging threats
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “An Effective Feed Forward Neural Network Model for Detection of Malware”. Kortex.