Related Experiment Video
Updated: Jul 3, 2026
07:49
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
Published on: November 26, 2019
8.0K
Examination of Traditional Botnet Detection on IoT-Based Bots
Ashley Woodiss-Field1,2, Michael N Johnstone1,2, Paul Haskell-Dowland1,2
1School of Science, Edith Cowan University, Joondalup 6027, Australia.
Sensors (Basel, Switzerland)
|February 10, 2024
Summary
Traditional botnet detection methods like BotMiner and BotProbe can identify Internet of Things (IoT) botnets, despite some limitations. These techniques offer complementary capabilities for detecting evolving cyber threats.
Area of Science:
- Cybersecurity
- Network Security
- Internet of Things (IoT) Security
Background:
- Botnets are expanding to utilize Internet of Things (IoT) devices, posing new security challenges.
- IoT devices have unique protocols and network structures that may bypass traditional botnet detection methods.
- Evaluating the efficacy of existing botnet detection techniques against IoT-based threats is crucial.
Purpose of the Study:
- To assess the performance of traditional botnet detection techniques (BotMiner, BotProbe, BotHunter) against IoT botnets.
- To identify the limitations and complementary strengths of these techniques in detecting IoT-based malicious activities.
- To validate findings using both simulated and external datasets.
Main Methods:
- Acquisition and experimental evaluation of BotMiner, BotProbe, and BotHunter.
- Creation of diverse simulation environments with varying host counts, infection levels, and command and control (CnC) types.
- Testing on both traditional and IoT-specific network traffic, including aberrant activity scenarios.
- Validation using externally acquired datasets.
Main Results:
- BotMiner and BotProbe demonstrated the capability to detect IoT-based botnets, contrary to initial expectations.
- Specific operational limitations were observed for BotMiner and BotProbe when applied to IoT environments.
- The study confirmed that traditional botnet detection techniques can be effective against IoT botnets.
- Different detection techniques showed potential for complementary application in identifying threats.
Conclusions:
- Traditional botnet detection techniques, such as BotMiner and BotProbe, are viable for identifying compromised IoT devices.
- While effective, these methods have specific limitations that need consideration for IoT security.
- A combination of different detection techniques may provide a more robust defense against sophisticated botnets.
- Further research into adapting or developing new techniques for IoT botnet detection is warranted.
Related Concept Videos
01:25Rapid Identification of Pathogens
MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
01:22Botulism
Botulism is a life-threatening neuroparalytic condition caused by botulinum neurotoxin, which is produced by the bacterium Clostridium botulinum, a Gram-positive, spore-forming, obligate anaerobe.In adults, the toxin enters the body in different ways: in foodborne botulism, the preformed toxin is absorbed in the intestine. In wound botulism, spores grow in injured tissue and release the toxin into the blood. Infant botulism differs mechanistically from adult forms. In infants, botulism commonly...