Design And Development Of A Novel Framework For Malware Identification And Classification
| dc.contributor.guide | Malik, Arun | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Verma, Vikas | |
| dc.date.accessioned | 2025-09-22T05:34:47Z | |
| dc.date.available | 2025-09-22T05:34:47Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2021 | |
| dc.description.abstract | iv newlineABSTRACT newlineIn the present era of technology, the internet plays a central role in most activities. newlineTherefore, it is crucial to prioritize the protection of our applications, data, and newlineinformation from potential attackers who constantly create malicious programs and newlinemake attempts in order to compromise our resources. Therefore, in the present era, the newlineexamination of malware has become a significant focus due to the fact that attackers newlinecontinue to create a diverse array of malware that is constantly evolving in its newlinecharacteristics. In recent times the use of new technologies such as virtualization newlinetechnology and distribution tracking avoidance has made it difficult to track the latest newlinecybercrimes. Furthermore, in the realm of cyber research, the tracking of harmful code newlinedistributors is more essential than analyzing malicious programs. Nowadays malware newlineis quite different in terms of properties as compared to the time of its starting era and newlinethus require different methods to trace. So, the detection of latest malware or the new newlinemalware is quite crucial before it start impacting the system. An important area of study newlinethat people want to learn more about is the malware used in Zero Day attacks that will newlinehappen in the future. Hence this proposal is primarily focused on the development of a newlinenovel technique for malware identification and classification. newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/664282 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Technology and Sciences | |
| dc.publisher.place | Phagwara | |
| dc.publisher.university | Lovely Professional University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Interdisciplinary Applications | |
| dc.subject.keyword | Engineering and Technology | |
| dc.title | Design And Development Of A Novel Framework For Malware Identification And Classification | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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