{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:25:28Z","timestamp":1767338728203,"version":"3.37.3"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,7]]},"DOI":"10.1109\/host45689.2020.9300289","type":"proceedings-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T22:19:40Z","timestamp":1608934780000},"page":"46-56","source":"Crossref","is-referenced-by-count":20,"title":["Encoding Power Traces as Images for Efficient Side-Channel Analysis"],"prefix":"10.1109","author":[{"given":"Benjamin","family":"Hettwer","sequence":"first","affiliation":[]},{"given":"Tobias","family":"Horn","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Gehrer","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Guneysu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Spread: a new layer for profiled deep-learning side-channel attacks","author":"pfeifer","year":"2018","journal-title":"Cryptology ePrint Archive Report"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.46586\/tches.v2019.i1.1-24"},{"journal-title":"DPA Contest v2","year":"0","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23951-9_3"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15462-2_1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353446"},{"journal-title":"Keras Documentation","year":"0","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01001-9_26"},{"key":"ref34","article-title":"On the performance of convolutional neural networks for side-channel analysis","author":"picek","year":"2018","journal-title":"Cryptology ePrint Archive Report"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.46586\/tches.v2019.i3.148-179"},{"key":"ref40","article-title":"Random Erasing Data Augmentation","author":"zhong","year":"2017","journal-title":"arXiv e-prints p arXiv 1708 06020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"journal-title":"Classification of time-series images using deep convolutional neural networks","year":"2018","author":"nima hatami","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.12.024"},{"key":"ref14","article-title":"Imaging Time-Series to Improve Classification and Imputation","author":"wang","year":"2015","journal-title":"arXiv e-prints p arXiv 1506 00327"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-48324-4_3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495428"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2007.910252"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CIS.2014.103"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2016.7568530"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/4\/9\/004"},{"key":"ref4","first-page":"13","author":"chari","year":"2003","journal-title":"Template Attacks"},{"key":"ref27","article-title":"Study of deep learning techniques for side-channel analysis and introduction to ascad database","author":"prouff","year":"2018","journal-title":"Cryptology ePrint Archive Report 2018\/053"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85053-3_27"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s13389-019-00212-8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1063\/1.166372"},{"key":"ref5","first-page":"30","author":"schindler","year":"2005","journal-title":"A Stochastic Model for Differential Side Channel Cryptanalysis"},{"key":"ref8","first-page":"45","author":"cagli","year":"2017","journal-title":"Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures"},{"key":"ref7","first-page":"3","article-title":"Breaking cryptographic implementations using deep learning techniques","author":"maghrebi","year":"2016","journal-title":"Security Privacy and Applied Cryptography Engineering - 6th International Conference SPACE 2016"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/978-3-540-28632-5_2","article-title":"Correlation power analysis with a leakage model","author":"brier","year":"2004","journal-title":"Cryptographic Hardware and Embedded Systems - CHES 2004 6th International Workshop Proceedings"},{"key":"ref9","first-page":"479","article-title":"Profiled power analysis attacks using convolutional neural networks with domain knowledge","author":"hettwer","year":"2018","journal-title":"Selected Areas in Cryptography - SAC 2018 - 25th International Conference"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-68697-5_9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-89641-0_4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11894063_1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/11894063_2"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref24"},{"journal-title":"Power Analysis Attacks Revealing the Secrets of Smart Cards","year":"2010","author":"mangard","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75208-2_14"},{"key":"ref25","article-title":"Improving Deep Learning using Generic Data Augmentation","author":"taylor","year":"2017","journal-title":"arXiv e-prints p arXiv 1708 06020"}],"event":{"name":"2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","start":{"date-parts":[[2020,12,7]]},"location":"San Jose, CA, USA","end":{"date-parts":[[2020,12,11]]}},"container-title":["2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9300124\/9300255\/09300289.pdf?arnumber=9300289","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:56:03Z","timestamp":1656345363000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9300289\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,7]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/host45689.2020.9300289","relation":{},"subject":[],"published":{"date-parts":[[2020,12,7]]}}}