Cyber crimininals carry out various attacksin the underground cyber economy with the use ofsophisticated malware. Botnets are good examples ofmalware that provide avenues for such malicious actsin the internet space. Several studies have establishedthe fact that botnet malware is different from otherclassifications of malware because it uses Commandand Control channels. However, over the years, thereis a paradigm shift in the way bots in the botnetscommunicate and propagate. This architectural shift isfrom centralised topology to decentralised one. Thenewer variants of decentralised and distributed botnetsemploy technique DGAs to evade detection. A DGAbasedbotnet makes use of Domain GenerationAlgorithms or Pseudo random Domain names to attainits survival or detection in the cyber space. This studyprovided an overview of how DGA-based botnetsevolved and how they are used launch attacks in thecyber space. Thereafter, a discussion of the resilienttendencies of Domain Generated Algorithm-basedbotnets against detection mechanisms is made. Finally,the study recommended that future detection modelsshould be designed to be adaptive in nature so as tocounter the resilient tendencies of such malware.
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