BOTA: Explainable IoT malware detection in large networks
Explainability and alert reasoning are essential but often neglected properties of intrusion
detection systems. The lack of explainability reduces security personnel's trust, limiting the …
detection systems. The lack of explainability reduces security personnel's trust, limiting the …
A Generic And Real-Time Internet Of Things Attack Realization And Detection Testbed
MR Kuşkon - 2023 - research.sabanciuniv.edu
The rapidly evolving Internet of Things (IoT) systems, which transform ordinary objects into
interconnected smart devices, offer numerous advantages such as improved data collection …
interconnected smart devices, offer numerous advantages such as improved data collection …
[PDF][PDF] Siotome: An edge-isp collaborative architecture for iot security
Modern households are deploying Internet of Things (IoT) devices at a fast pace. The
heterogeneity of these devices, which range from low-end sensors to smart TVs, make …
heterogeneity of these devices, which range from low-end sensors to smart TVs, make …
Edge-based intrusion detection for IoT devices
As the Internet of Things (IoT) is estimated to grow to 25 billion by 2021, there is a need for
an effective and efficient Intrusion Detection System (IDS) for IoT devices. Traditional …
an effective and efficient Intrusion Detection System (IDS) for IoT devices. Traditional …
[PDF][PDF] Poisoning attacks on federated learning-based IoT intrusion detection system
Federated Learning (FL) is an appealing method for applying machine learning to large
scale systems due to the privacy and efficiency advantages that its training mechanism …
scale systems due to the privacy and efficiency advantages that its training mechanism …
Detect-IoT: A Comparative Analysis of Machine Learning Algorithms for Detecting Compromised IoT Devices
YR Siwakoti, DB Rawat - Proceedings of the Twenty-fourth International …, 2023 - dl.acm.org
The rapid expansion of IoT brings unmatched convenience and connectivity, but it also
raises significant security concerns. The prioritization of functionality over security in IoT …
raises significant security concerns. The prioritization of functionality over security in IoT …
IDAC: Federated Learning-Based Intrusion Detection Using Autonomously Extracted Anomalies in IoT
T Ohtani, R Yamamoto, S Ohzahata - Sensors, 2024 - mdpi.com
The recent rapid growth in Internet of Things (IoT) technologies is enriching our daily lives
but significant information security risks in IoT fields have become apparent. In fact, there …
but significant information security risks in IoT fields have become apparent. In fact, there …
Toward improving the security of IoT and CPS devices: An AI approach
Detecting anomalously behaving devices in security-and-safety-critical applications is an
important challenge. This article presents an off-device methodology for detecting the …
important challenge. This article presents an off-device methodology for detecting the …
ELF analyzer demo: Online identification for IoT malwares with multiple hardware architectures
This demonstration presents an automatic IoT runtime platform with a web interface, ELF
Analyzer, where suspicious ELF files uploaded by users could be executed and dynamically …
Analyzer, where suspicious ELF files uploaded by users could be executed and dynamically …
{ARGUS}:{Context-Based} Detection of Stealthy {IoT} Infiltration Attacks
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices
control various functions in smart homes and buildings, smart cities, and smart factories …
control various functions in smart homes and buildings, smart cities, and smart factories …