Security-Bag: A Specification-based Intrusion Detection System Applied to Star Topology BLE Networks

Bluetooth Low Energy (BLE), a protocol widely used in IoT applications, enables efficient data exchange with low-cost, resource-constrained devices. Unfortunately, BLE’s numerous vulnerabilities and poor vendor patching policies, combined with the lack of seamless update mechanisms for BLE devices, expose these systems to various wireless attacks, jeopardizing the safety and security of IoT applications. This underscores the need for an Intrusion Detection System (IDS). However, IPbased IDS systems have limited BLE attack detection scope, and existing BLE-specific IDS solutions, particularly those using unreliable, Received Signal Strength Indication (RSSI)-dependent sniffers/probes and static thresholds in attack detection, suffer from limitations due to the dynamic aspects of BLE devices, such as device mobility and connection parameters update, in their designs. In this paper, we propose the Security Bag component: a specification-based IDS applied to star topology BLE networks that implements security rules derived from the BLE specifications. We validate this Security Bag by simulating spoofing attacks on a BLE sensor node using the Contiki Cooja simulator. The obtained results show that the Security Bag promptly detects the injected attack, opening avenues for applications on other wireless networks and deployment in real systems.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iotsms62296.2024.10710245
Citations
1
Primary Topic
Opportunistic and Delay-Tolerant Networks
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Security-Bag: A Specification-based Intrusion Detection System Applied to Star Topology BLE Networks

Abed Ellatif Samhat, Benjamin Lussier, Ahmed Lounis, Mohammad Beyrouti et al.
1 citations
Opportunistic and Delay-Tolerant Networks
0.35
article

Security-Bag: A Specification-based Intrusion Detection System Applied to Star Topology BLE Networks

Abed Ellatif Samhat, Benjamin Lussier, Ahmed Lounis, Mohammad Beyrouti, Abdelmadjid Bouabdallah
article en
1 citations

Abstract

Bluetooth Low Energy (BLE), a protocol widely used in IoT applications, enables efficient data exchange with low-cost, resource-constrained devices. Unfortunately, BLE’s numerous vulnerabilities and poor vendor patching policies, combined with the lack of seamless update mechanisms for BLE devices, expose these systems to various wireless attacks, jeopardizing the safety and security of IoT applications. This underscores the need for an Intrusion Detection System (IDS). However, IPbased IDS systems have limited BLE attack detection scope, and existing BLE-specific IDS solutions, particularly those using unreliable, Received Signal Strength Indication (RSSI)-dependent sniffers/probes and static thresholds in attack detection, suffer from limitations due to the dynamic aspects of BLE devices, such as device mobility and connection parameters update, in their designs. In this paper, we propose the Security Bag component: a specification-based IDS applied to star topology BLE networks that implements security rules derived from the BLE specifications. We validate this Security Bag by simulating spoofing attacks on a BLE sensor node using the Contiki Cooja simulator. The obtained results show that the Security Bag promptly detects the injected attack, opening avenues for applications on other wireless networks and deployment in real systems.

Université de Technologie de Compiègne (FR), Centre National de la Recherche Scientifique (FR), Lebanese University (LB), Sorbonne Université (FR)
Research Committee, Aristotle University of Thessaloniki
Openalex Percentile: Top 38%
Opportunistic and Delay-Tolerant Networks
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.