Article... International Conference on Complex, Intelligent and Software Intensive Systems2023
A Lightweight Botnet Exploiting HTTP for Control Flow Denial on Open-Source Medical Systems.
Article in ... International Conference on Complex, Intelligent and Software Intensive Systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Security Driven Product Design for Open-Source Medical Syringe Infusion Pumps.... Integrated STEM Education Conference. Integrated STEM Education Conference · 2025Article
- Machine learning identified novel players in lipid metabolism, endosomal trafficking, and iron metabolism of the ALS spinal cord.Scientific reports · 2025Article
- Web-Based Botnet for Blocking Control Flow in Open-Source Medical Syringe Pump.International journal of grid and utility computing · 2025Article
- Detecting DDoS Attacks in the Internet of Medical Things Through Machine Learning Based Classification.The 6th International Conference on Wireless, Intelligent and Distributed Environment for Communication : WIDECOM 2023 : International Conference on Wireless, Intelligent and Distributed Environment for Communication, St. Catharines, ON... · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The recent emergence of open-source medical cyber-physical systems has rapidly transformed the healthcare industry. This can be attributed to advancements in 3D printing technology and the growing popularity of open-source microcomputer systems like Arduino and Raspberry Pi. However, the increased use of these systems in hospitals has also raised cybersecurity concerns. In particular, new technologies, such as IoT devices and other mobile devices, have posed new challenges in exploiting modern botnets and determining their effectiveness with limited resources. In this paper, we propose a lightweight and full-encrypted cross-platform botnet system that provides a proof-of-concept demonstration of how a botnet attack can block control flow from the syringe pump in a testbed of an IoT medical network. The emphasis is placed on minimal deployment time and resource usage, making this lightweight botnet different from most traditional botnets, thus furthering cybersecurity research in intrusion detection for open-source medical systems.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.