Botnets are one of the major cyber infections used in several criminal activities. In most
botnets, a Domain Generation Algorithm (DGA) is used by bots to make DNS queries aimed …

With the rapid development of the mobile internet of things (IoTs) and mobile sensing
devices, a large amount of mobile computing-oriented applications have attracted attention …

Advanced botnet threats are natively deploying concealing techniques to prevent detection
and sinkholing. To tackle them, machine learning solutions have become a standard …

Botnets often apply domain name generation algorithms (DGAs) to evade detection by
generating large numbers of pseudo-random domain names of which only few are …

Distinguishing malicious domain names generated by various domain generation
algorithms (DGA) is critical for defending a network against sophisticated network attacks. In …

Recently, detecting botnets and especially DGA botnets has been the research interest of
many researchers worldwide because of botnets' wide spreading, high sophistication and …

In recent years, cyberattacks using command and control (C&C) servers have significantly
increased. To hide their C&C servers, attackers often use a domain generation algorithm …

Traditional aerial target tactical intention recognition is based on a single moment of
reasoning, while actual battlefield target tactical intention is realized by a series of actions …

Detecting malicious domain names generated by domain generation algorithms is critical for
defending the network against sophisticated attacks. In the past decade, deep-learning …

Malware like botnets typically uses domain generation algorithms (DGAs) to dynamically
produce a large number of random algorithmically generated domains (AGDs) and use a …