An automated and optimized multimodal phishing attack detection and classification model using deep learning techniques
| dc.contributor.guide | M Tirumaran | |
| dc.coverage.spatial | Deep learning | |
| dc.creator.researcher | C Rajeswary | |
| dc.date.accessioned | 2025-04-16T09:53:30Z | |
| dc.date.available | 2025-04-16T09:53:30Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2020 | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | p176 | |
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/633784 | |
| dc.language | English | |
| dc.publisher.institution | Computer Science and Engineering | |
| dc.publisher.place | Pillaichavady | |
| dc.publisher.university | Puducherry Technological University | |
| dc.relation | 136 | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Artificial Intelligence | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | An automated and optimized multimodal phishing attack detection and classification model using deep learning techniques | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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