Corpus ID: 6155039

A Survey of Advances in Botnet Technologies

  title={A Survey of Advances in Botnet Technologies},
  author={N. Goodman},
Botnets have come a long way since their inception a few decades ago. Originally toy programs written by network hobbyists, modern-day botnets can be used by cyber criminals to steal billions of dollars from users, corporations, and governments. This paper will look at cutting-edge botnet features and detection strategies from over a dozen research papers, supplemented by a few additional sources. With this data, I will then hypothesize what the future of botnets might hold. 

Topics from this paper

BotCensor: Detecting DGA-Based Botnet Using Two-Stage Anomaly Detection
  • Biao Qi, J. Jiang, Zhixin Shi, Rui Mao, Qiwen Wang
  • Computer Science
  • 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
  • 2018
Bot or Not? A Case Study on Bot Recognition from Web Session Logs
Detection of Algorithmically Generated Malicious Domain
Detection of Algorithmically Generated Malicious Domain Using Frequency Analysis
Mitigating Mirai Malware Spreading in IoT Environment
A Review on IoT Botnet


Botnets: A survey
On botnets
A Survey of Botnet Technology and Defenses
Taking down botnets
  • S. Gold
  • Computer Science
  • Netw. Secur.
  • 2011
Tools, Techniques & Analysis of Botnet
Botcoin: Monetizing Stolen Cycles
Design and analysis of a social botnet
Automatically Generating Payload-Based Models for Botnet Detection
  • C. Lee, Fred Chou, C. Chen
  • Computer Science
  • 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)
  • 2015
Socellbot: A new botnet design to infect smartphones via online social networking
  • M. R. Faghani, U. T. Nguyen
  • Computer Science
  • 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
  • 2012