Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems

Abstract:

Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine Learning models used in a cloud data platform service. Adversarial examples are malicious inputs to ML-models that provide erroneous model outputs while appearing to be unmodified. This kind of attack can fool the classifier and can prevent ML-models from generalizing well and from learning high-level representation; instead, the ML-model learns superficial dataset regularity. This study focuses on investigating, detecting, and preventing adversarial attacks towards a cloud data platform in the cyber-physical context.


AUTHORS

Photo of Petri Vähäkainu

Faculty of Information Technology University of Jyväskylä, Jyväskylä
Finland

Petri Vähäkainu is a researcher (MSc. MIT, MSc. (econ.), BSc. (econ.), B. Eng.) in the Finnish Defence Research Agency FDRA and cybersecurity doctoral student in Faculty of Information Technology at the University Jyväskylä, Finland. He has been researching utilization of Artificial Intelligence in cybersecurity, data science, health care, and Structural Health Monitoring.

Photo of Dr. Martti Lehto

Faculty of Information Technology University of Jyväskylä, Jyväskylä
Finland

Dr. Martti Lehto, (Military Sciences), Col (G.S.) (ret.) works as a Professor in Cyber security in the University of Jyväskylä. He has over 30 years’ experience in C4ISR Systems in Finnish Air Force. Now, he is a cyber security and cyber defence researcher and teacher in the IT Faculty. He is also Adjunct professor in National Defence University in Air and Cyber Warfare. He is author of over 160 publications, research reports, and articles on the areas of C4ISR systems, cyber security and defence, artificial intelligence, information warfare, air power, and defence policy. Since 2001 he has been the Editor-in-Chief of the Military Magazine.

 

Photo of Antti Kariluoto

Faculty of Information Technology University of Jyväskylä, Jyväskylä
Finland

Antti Kariluoto researches artificial intelligence and its applicability at the University of Jyväskylä. He is an avid artificial intelligence enthusiast with a passion for data science.

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Keywords

C

C2
C2S
CDX
CIA
CIP
CPS

D

DNS
DoD
DoS

I

IA
ICS

S

SOA

X

XRY

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