Domain Generating Algorithm (DGA) Malware Detection using Deep Learning Model / (Record no. 616600)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01352nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.8,JAV |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Javed, Muhammad Awais |
| 9 (RLIN) | 133637 |
| 245 ## - TITLE STATEMENT | |
| Title | Domain Generating Algorithm (DGA) Malware Detection using Deep Learning Model / |
| Statement of responsibility, etc. | Muhammad Awais Javed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix, 139 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Advanced Persistent Threats (APTs) represent one of the most captious<br/>challenges to modern cybersecurity paradigm, particularly for<br/>critical information infrastructures (CIIs), governments and military<br/>networks. These threats employ stealthy and persistent attack strategies<br/>that evade conventional defenses, with Domain Generating Algorithms<br/>(DGAs) serving as a core technique to ensure uninterrupted<br/>communication with Command and Control (C&C) servers. DGAs<br/>are capable of dynamically generating large volumes of domain names,<br/>making blacklist-based detection techniques ineffective and forcing security<br/>systems to operate reactively rather than proactively. The inherent<br/>difficulty in identifying malicious domains generated by DGAs<br/>necessitates the exploration of intelligent, adaptive detection mechanisms. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Information Security Thesis |
| 9 (RLIN) | 132793 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD IS Thesis |
| 9 (RLIN) | 132794 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Imran Rashid |
| 9 (RLIN) | 132473 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 03/11/2026 | 005.8,JAV | MCSPhD IS-18 | 03/11/2026 | 03/11/2026 | Thesis |