%0 Conference Paper %1 conf/icc/MaoZCZ19 %A Mao, Yan-Fang %A Zhang, Yang %A Chen, Jun-Liang %A yang Zhao, Kong %B ICC %D 2019 %I IEEE %K dblp %P 1-6 %T Exploiting Java Stack Forensics for Runtime Monitoring of IoT Services. %U http://dblp.uni-trier.de/db/conf/icc/icc2019.html#MaoZCZ19 %@ 978-1-5386-8088-9

@inproceedings{conf/icc/MaoZCZ19, added-at = {2023-03-02T00:00:00.000+0100}, author = {Mao, Yan-Fang and Zhang, Yang and Chen, Jun-Liang and yang Zhao, Kong}, biburl = {https://www.bibsonomy.org/bibtex/2bd90c3b206d38817938a5df1d8e9cc15/dblp}, booktitle = {ICC}, crossref = {conf/icc/2019}, ee = {https://doi.org/10.1109/ICC.2019.8761196}, interhash = {f468eabad45995a1d3e8fe4e259d174d}, intrahash = {bd90c3b206d38817938a5df1d8e9cc15}, isbn = {978-1-5386-8088-9}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-04-10T08:02:29.000+0200}, title = {Exploiting Java Stack Forensics for Runtime Monitoring of IoT Services.}, url = {http://dblp.uni-trier.de/db/conf/icc/icc2019.html#MaoZCZ19}, year = 2019 }