Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems 

  Terziyan, Vagan; Gryshko, Svitlana; Golovianko, Mariia (Elsevier, 2021)

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

  Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Peregrine Technical Solutions, 2020)

  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 ...

• IoT -based adversarial attack's effect on cloud data platform services in a smart building context 

  Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Academic Conferences International, 2020)

  IoT sensors and sensor networks are widely employed in businesses. The common problem is a remarkable number of IoT device transactions are unencrypted. Lack of correctly implemented and robust defense leaves the organization's ...

• Countering Adversarial Inference Evasion Attacks Towards ML-Based Smart Lock in Cyber-Physical System Context 

  Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Springer, 2021)

  Machine Learning (ML) has been taking significant evolutionary steps and provided sophisticated means in developing novel and smart, up-to-date applications. However, the development has also brought new types of hazards ...

• Artificial Intelligence for Cybersecurity : A Systematic Mapping of Literature 

  Wiafe, Isaac; Koranteng, Felix N.; Obeng, Emmanuel N.; Assyne, Nana; Wiafe, Abigail; Gulliver, Stephen R. (IEEE, 2020)

  Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can ...