%0 Conference Paper %1 conf/cascon/GangolliMA22 %A Gangolli, Aakash %A Mahmoud, Qusay H. %A Azim, Akramul %B CASCON %D 2022 %E Shirani, Paria %E Onut, Iosif-Viorel %E Ng, Tinny %I ACM %K dblp %P 4-11 %T A Machine Learning Approach to Predict System-Level Threats from Hardware-Based Fault Injection Attacks on IoT Software. %U http://dblp.uni-trier.de/db/conf/cascon/cascon2022.html#GangolliMA22

@inproceedings{conf/cascon/GangolliMA22, added-at = {2024-01-11T00:00:00.000+0100}, author = {Gangolli, Aakash and Mahmoud, Qusay H. and Azim, Akramul}, biburl = {https://www.bibsonomy.org/bibtex/2ecc682874d50cbbcc36989bb46593fe8/dblp}, booktitle = {CASCON}, crossref = {conf/cascon/2022}, editor = {Shirani, Paria and Onut, Iosif-Viorel and Ng, Tinny}, ee = {https://dl.acm.org/doi/10.5555/3566055.3566057}, interhash = {dd6c3082c96eff0040e9303774c0777a}, intrahash = {ecc682874d50cbbcc36989bb46593fe8}, keywords = {dblp}, pages = {4-11}, publisher = {ACM}, timestamp = {2024-04-10T02:42:17.000+0200}, title = {A Machine Learning Approach to Predict System-Level Threats from Hardware-Based Fault Injection Attacks on IoT Software.}, url = {http://dblp.uni-trier.de/db/conf/cascon/cascon2022.html#GangolliMA22}, year = 2022 }