ASAVA: Autonomous Safety and Security Validation system for Internet of Things application

Recent studies show that unexpected movement of smart vehicles in stationary position poses a significant safety concern as a result of adversaries gaining control from unauthorised access of the smart vehicle braking system, resulting in life-threatening risks and damage. In this paper, we propose ASAVA, an autonomous safety and security validation protocol, which uses a symmetric key to prevent unauthorized read access and manipulation of sensor data in smart vehicles, as well as static numbers to protect smart vehicles from rolling. The data used by ASAVA are collected from various components of smart vehicles such as the Gear Sensor (GS) and Rotation Per Minute (RPM) Sensor for safety and security measurements. ASAVA uses sensor-based brake control to adjust brake pressure and engage the Antilock Brake System (ABS). ASAVA security analysis shows that adversaries cannot gain access to the data collected and transmitted using ASAVA, ensuring the confidentiality of the data in smart vehicles. ASAVA safety analysis was performed and the results demonstrated that ASAVA-equipped smart vehicles are safer compared to existing related solutions.

Publication Details

Journal
Greenwich Academic Literature Archive (University of Greenwich)
Published
2025-11-09
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASAVA: Autonomous Safety and Security Validation system for Internet of Things application

Greenwich Academic Literature Archive (University of Greenwich)
Autonomous Vehicle Technology and Safety
article

ASAVA: Autonomous Safety and Security Validation system for Internet of Things application

article en

Abstract

Recent studies show that unexpected movement of smart vehicles in stationary position poses a significant safety concern as a result of adversaries gaining control from unauthorised access of the smart vehicle braking system, resulting in life-threatening risks and damage. In this paper, we propose ASAVA, an autonomous safety and security validation protocol, which uses a symmetric key to prevent unauthorized read access and manipulation of sensor data in smart vehicles, as well as static numbers to protect smart vehicles from rolling. The data used by ASAVA are collected from various components of smart vehicles such as the Gear Sensor (GS) and Rotation Per Minute (RPM) Sensor for safety and security measurements. ASAVA uses sensor-based brake control to adjust brake pressure and engage the Antilock Brake System (ABS). ASAVA security analysis shows that adversaries cannot gain access to the data collected and transmitted using ASAVA, ensuring the confidentiality of the data in smart vehicles. ASAVA safety analysis was performed and the results demonstrated that ASAVA-equipped smart vehicles are safer compared to existing related solutions.

Greenwich Academic Literature Archive (University of Greenwich)
Openalex Percentile: Top 48%
Autonomous Vehicle Technology and Safety
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.

ASAVA: Autonomous Safety and Security Validation system for Internet of Things application · Greenwich Academic Literature Archive (University of Greenwich) (2025) | TGRS Research Map | TGRS