Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview

AA Al-Saedi, V Boeva, E Casalicchio, P Exner - Sensors, 2022 - mdpi.com
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

[PDF][PDF] The Truth Shall Set Thee Free: Enabling Practical Forensic Capabilities in Smart Environments.

L Babun, AK Sikder, A Acar, AS Uluagac - NDSS, 2022 - ndss-symposium.org
In smart environments such as smart homes and offices, the interaction between devices,
users, and apps generate abundant data. Such data contain valuable forensic information …

Aegis+ A Context-aware Platform-independent Security Framework for Smart Home Systems

AK Sikder, L Babun, AS Uluagac - Digital Threats: Research and …, 2021 - dl.acm.org
The introduction of modern Smart Home Systems (SHSs) is redefining the way we perform
everyday activities. Today, myriad SHS applications and the devices they control are widely …

Hey kimya, is my smart speaker spying on me? taking control of sensor privacy through isolation and amnesia

P De Vaere, A Perrig - 32nd USENIX Security Symposium (USENIX …, 2023 - usenix.org
Although smart speakers and other voice assistants are becoming increasingly ubiquitous,
their always-standby nature continues to prompt significant privacy concerns. To address …

Sentinel: A robust intrusion detection system for IoT networks using kernel-level system information

A Cosson, AK Sikder, L Babun, ZB Celik… - Proceedings of the …, 2021 - dl.acm.org
The concept of Internet of Things (IoT) has changed the way we live by integrating
commodity devices with cyberspace to automate our everyday tasks. Nowadays, IoT devices …

Interactive transfer learning-assisted fuzzy neural network

H Han, H Liu, Z Liu, J Qiao - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
Transfer learning algorithm can provide a framework to utilize the previous knowledge to
train fuzzy neural network (FNN). However, the performance of TL-based FNN will be …

Zero trust access control with context-aware and behavior-based continuous authentication for smart homes

GR da Silva, DF Macedo… - Simpósio Brasileiro de …, 2021 - sol.sbc.org.br
Generally, approaches to build the security of Smart Home Systems (SHS) require big
amount of data to implement Access Control and Intrusion Detection Systems, with storage …

SBTDDL: A novel framework for sensor-based threats detection on Android smartphones using deep learning

S Manimaran, VN Sastry, NP Gopalan - Computers & Security, 2022 - Elsevier
Sensors in the smartphone play a vital role in various user-friendly mobile services. The
mobile application requires user permission to access the permission imposed sensors and …

Gairoscope: Leaking data from air-gapped computers to nearby smartphones using speakers-to-gyro communication

M Guri - 2021 18th International Conference on Privacy …, 2021 - ieeexplore.ieee.org
It is known that malware can leak data from isolated, air-gapped computers to nearby
smartphones using ultrasonic waves. However, this covert channel requires access to the …

A futuristic survey on learning techniques for internet of things (IoT) security: developments, applications, and challenges

C Patel, S Vyas, P Saikia - Authorea Preprints, 2023 - techrxiv.org
In today's era, internet-connected things provide immense opportunities to the world for
enhancing the quality of lives through better data processing and intelligent decision …