# On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description

arXiv: https://arxiv.org/abs/2411.03237 · HTML: https://mlsanity.com/paper/2411.03237/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 29 references that are in the map.
- First posted on arXiv 5 Nov 2024.

## Builds on (most cited first, 11 of 11)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://mlsanity.com/paper/1912.01703/) (2019)
- [What is the State of Neural Network Pruning?](https://mlsanity.com/paper/2003.03033/) (2020)
- [Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?](https://mlsanity.com/paper/2103.00435/) (2021)
- [Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces](https://mlsanity.com/paper/2205.03793/) (2022)
- [Sequential change-point detection based on nearest neighbors](https://mlsanity.com/paper/1604.03611/) (2016)
- [On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels](https://mlsanity.com/paper/2302.04993/) (2023)
- [Leveraging RIS-Enabled Smart Signal Propagation for Solving Infeasible Localization Problems](https://mlsanity.com/paper/2204.11538/) (2022)
- [Towards Distributed and Intelligent Integrated Sensing and Communications for 6G Networks](https://mlsanity.com/paper/2402.11630/) (2024)
- [PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading](https://mlsanity.com/paper/2202.02673/) (2022)
- [Channel Reciprocity Attacks Using Intelligent Surfaces with Non-Diagonal Phase Shifts](https://mlsanity.com/paper/2309.11665/) (2023)

## Built on by (most cited first, 1 of 1)

- [RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization](https://mlsanity.com/paper/2512.18788/) (2025)

## Abstract (arXiv)

In this paper, we study the problem of promptly detecting the presence of non-cooperative activity from one or more Reconfigurable Intelligent Surfaces (RISs) with unknown characteristics lying in the vicinity of a Multiple-Input Multiple-Output (MIMO) communication system using Orthogonal Frequency-Division Multiplexing (OFDM) transmissions. We first present a novel wideband channel model incorporating RISs as well as non-reconfigurable stationary surfaces, which captures both the effect of the RIS actuation time on the channel in the frequency domain as well as the difference between changing phase configurations during or among transmissions. Considering that RISs may operate under the coordination of a third-party system, and thus, may negatively impact the communication of the intended MIMO OFDM system, we present a novel RIS activity detection framework that is unaware of the distribution of the phase configuration of any of the non-cooperative RISs. In particular, capitalizing on the knowledge of the data distribution at the multi-antenna receiver, we design a novel online change point detection statistic that combines a deep support vector data description model with the scan B-test. The presented numerical investigations demonstrate the improved detection accuracy as well as decreased computational complexity of the proposed RIS detection approach over existing change point detection schemes.