Zobrazeno 1 - 10
of 338
pro vyhledávání: '"David K. Y. Yau"'
Publikováno v:
IEEE Access, Vol 11, Pp 138303-138315 (2023)
Deep neural networks (DNNs) are highly vulnerable to neural Trojan attacks. To carry out such an attack, an adversary retrains a DNN with poisoned data or modifies its parameters to produce incorrect output. These attacks can remain unnoticed until t
Externí odkaz:
https://doaj.org/article/f0ce82230348406d8534d8373736b91a
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:3066-3081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6392772c71030d82e1aedea0213dd9bd
https://doi.org/10.1109/tsmc.2022.3222793
https://doi.org/10.1109/tsmc.2022.3222793
Autor:
Prithwi Bagchi, Raj Maheshwari, Basudeb Bera, Ashok Kumar Das, Youngho Park, Pascal Lorenz, David K. Y. Yau
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd609990e55eac5937645472117298d
https://doi.org/10.1109/tvt.2023.3260579
https://doi.org/10.1109/tvt.2023.3260579
Publikováno v:
IEEE Transactions on Mobile Computing. 21:3629-3643
Industrial robots are prototypical cyber-physical systems which operate according to the operation code and are monitored in real-time based on their movement data. However, industrial robots suffer from replay attacks, via which attackers can manipu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a79124dff8d8fefe84b7752c99cee7f
https://doi.org/10.1109/tmc.2021.3059796
https://doi.org/10.1109/tmc.2021.3059796
Publikováno v:
IEEE Transactions on Smart Grid. 12:3581-3593
Control and communication technologies are key building blocks of cyber-physical systems (CPSes) that can improve the efficiency of the physical processes. However, they also make a CPS vulnerable to cyberattacks that can cause disruptions or even se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6002d0922032a15df3a906e143767688
https://doi.org/10.1109/tsg.2021.3058682
https://doi.org/10.1109/tsg.2021.3058682
Publikováno v:
IEEE Internet of Things Journal. 8:6608-6623
Data integrity attack (DIA) is one class of threatening cyber attacks against the Internet-of-Things (IoT)-based smart grid. With the assumption that the attacker is capable of obtaining complete or incomplete information of the system topology and b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1092299c4cd0a69dfe937dfd8757baf3
https://doi.org/10.1109/jiot.2021.3049818
https://doi.org/10.1109/jiot.2021.3049818
Publikováno v:
DSN
We study moving-target defense (MTD) that actively perturbs transmission line reactances to thwart stealthy false data injection (FDI) attacks against state estimation in a power grid. Prior work on this topic has proposed MTD based on randomly selec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53ccec63336f246c0353a88c3b99151
https://doi.org/10.1109/tpwrs.2020.3010365
https://doi.org/10.1109/tpwrs.2020.3010365
Autor:
Jit Biswas, David K. Y. Yau, Li Zihao, Yu Ming, Kon Ih Lunn, Tan Keng Nan, Zhang Zhimin, Jimmy Chua, Tso Wai Ann, Heng Yong Kean
Publikováno v:
2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e7c4dbd71b3c6022d700a6360c1f0d2
https://doi.org/10.1109/isgt50606.2022.9817486
https://doi.org/10.1109/isgt50606.2022.9817486
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 4:1-29
Recent studies have exploited moving target defense (MTD) for thwarting false data injection (FDI) attacks against the state estimation (SE) by actively perturbing branch parameters (i.e., impedance or admittance) in power grids. To hide the activati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a6c0458201d5f36ffd5c27dc7a57ef3
https://doi.org/10.1145/3372751
https://doi.org/10.1145/3372751
Autor:
Guihai Chen, Shaojie Tang, Haipeng Dai, Xiang-Yang Li, Xiaobing Wu, Chen Tian, Qiufang Ma, David K. Y. Yau
Publikováno v:
IEEE Transactions on Mobile Computing. 19:44-59
In this paper, we consider the scenario in which a mobile charger (MC) periodically travels within a sensor network to recharge the sensors wirelessly. We design joint charging and scheduling schemes to maximize the Quality of Monitoring (QoM) for st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fc579ddaa7d634dd2237d475bd9b0b4
https://doi.org/10.1109/tmc.2018.2887381
https://doi.org/10.1109/tmc.2018.2887381