# Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks

arXiv: https://arxiv.org/abs/2006.08064 · HTML: https://mlsanity.com/paper/2006.08064/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jun 2020.

## Built on by (most cited first, 5 of 5)

- [TiSAT: Time Series Anomaly Transformer](https://mlsanity.com/paper/2203.05167/) (2022)
- [Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models](https://mlsanity.com/paper/2408.14756/) (2024)
- [A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies](https://mlsanity.com/paper/2205.08404/) (2022)
- [Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey](https://mlsanity.com/paper/2403.16149/) (2024)
- [Optimal In-Network Distribution of Learning Functions for a Secure-by-Design Programmable Data Plane of Next-Generation Networks](https://mlsanity.com/paper/2411.18384/) (2024)

## Abstract (arXiv)

Internet of Things (IoT) networks consist of sensors, actuators, mobile and wearable devices that can connect to the Internet. With billions of such devices already in the market which have significant vulnerabilities, there is a dangerous threat to the Internet services and also some cyber-physical systems that are also connected to the Internet. Specifically, due to their existing vulnerabilities IoT devices are susceptible to being compromised and being part of a new type of stealthy Distributed Denial of Service (DDoS) attack, called Mongolian DDoS, which is characterized by its widely distributed nature and small attack size from each source. This study proposes a novel anomaly-based Intrusion Detection System (IDS) that is capable of timely detecting and mitigating this emerging type of DDoS attacks. The proposed IDS's capability of detecting and mitigating stealthy DDoS attacks with even very low attack size per source is demonstrated through numerical and testbed experiments.