paper-with-me

Papers

LSTM based IoT Device Identification

2023-04-27 · Kahraman Kostas

While the use of the Internet of Things is becoming more and more popular, many security vulnerabilities are emerging with the large number of devices being introduced to the market. In this environment, IoT device identification methods provide a preventive security measure as an important factor in identifying these devices and detecting the vulnerabilities they suffer from. In this study, we present a method that identifies devices in the Aalto dataset using Long short-term memory (LSTM)

📄 PDF Abstract BibTeX arXiv:2304.13905

Code (1)

kahramankostas/lstm-based-iot-device-identification 공식 구현

Tasks

IoT Device Identification

Similar Papers 제목 키워드 기반

Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification

2022-12-30 · Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez

In the last years, the number of IoT devices deployed has suffered an undoubted explosion, reaching the scale of billions. However, some new cybersecurity issues have appeared together with this development. Some of thes…

IoT Device Identification

On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification

2021-12-01 · Rutika Moharir, Arun D Prabhu, Sukumar Moharana, Gopi Ramena 외

Automatic identification of script is an essential component of a multilingual OCR engine. In this paper, we present an efficient, lightweight, real-time and on-device spatial attention based CNN-LSTM network for scene t…

Optical Character Recognition (OCR)

TinyGaze: Lightweight Gaze-Gesture Recognition on Commodity Mobile Devices

2026-03-30 · Yaxiong Lei, Hyochan Cho, Fergus Buchanan, Shijing He 외 arxiv

Gaze gestures can provide hands free input on mobile devices, but practical use requires (i) gestures users can learn and recall and (ii) recognition models that are efficient enough for on-device deployment. We present …

Gesture Recognition

An LSTM-Aided Hybrid Random Access Scheme for 6G Machine Type Communication Networks

2020-12-25 · Wenchao Zhai, Huimei Han, Lei Liu, Jun Zhao

In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices a…

Deep Learning Methods for Device Identification Using Symbols Trace Plot

2023-06-29 · Da Huang, Akram Al-Hourani, Kandeepan Sithamparanathan, Wayne S. T. Rowe

Devices authentication is one crucial aspect of any communication system. Recently, the physical layer approach radio frequency (RF) fingerprinting has gained increased interest as it provides an extra layer of security …

Deep Learning