NoisePrint: Attack detection using sensor and process noise fingerprint in cyber physical systems

An attack detection scheme is proposed to detect data integrity attacks on sensors in Cyber-Physical Systems (CPSs). A combined fingerprint for sensor and process noise is created during the normal operation of the system. Under sensor spoofing attack, noise pattern deviates from the fingerprinted p...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2018

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/23055

Acceso en línea:

https://doi.org/10.1145/3196494.3196532
https://repository.urosario.edu.co/handle/10336/23055

Palabra clave:

Actuators
Cyber Physical System
Embedded systems
Frequency domain analysis
Learning algorithms
Learning systems
Sensors
State estimation
Testbeds
Water supply systems
Water treatment
CPS/ICS Security
Cyber physical systems (cpss)
Data integrity attacks
Device fingerprinting
Frequency domains
Physical attacks
Security
Water distributions
Palmprint recognition
Actuators
CPS/ICS Security
Cyber Physical Systems
Device Fingerprinting
Physical Attacks
Security
Sensors

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License

http://purl.org/coar/access_right/c_abf2