TY  - BOOK
AU  - Javed, Muhammad Awais
AU  - Supervised by Dr. Imran Rashid
TI  - Domain Generating Algorithm (DGA) Malware Detection using Deep Learning Model
U1  - 005.8,JAV 
PY  - 2026///
CY  - Rawalpindi
PB  - MCS (NUST)
KW  - PhD Information Security Thesis
KW  - PhD IS Thesis
N1  - Advanced Persistent Threats (APTs) represent one of the most captious
challenges to modern cybersecurity paradigm, particularly for
critical information infrastructures (CIIs), governments and military
networks. These threats employ stealthy and persistent attack strategies
that evade conventional defenses, with Domain Generating Algorithms
(DGAs) serving as a core technique to ensure uninterrupted
communication with Command and Control (C&C) servers. DGAs
are capable of dynamically generating large volumes of domain names,
making blacklist-based detection techniques ineffective and forcing security
systems to operate reactively rather than proactively. The inherent
difficulty in identifying malicious domains generated by DGAs
necessitates the exploration of intelligent, adaptive detection mechanisms
ER  -