{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T08:18:04Z","timestamp":1783671484261,"version":"3.55.0"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272047"],"award-info":[{"award-number":["62272047"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62502035"],"award-info":[{"award-number":["62502035"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.asoc.2026.115531","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:27:00Z","timestamp":1779380820000},"page":"115531","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["BODIO: A bit-oriented distance-iterated optimizer for key search with bitwise linear leakage"],"prefix":"10.1016","volume":"201","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4368-5948","authenticated-orcid":false,"given":"Ting","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3521-3171","authenticated-orcid":false,"given":"Xuyang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9991-4480","authenticated-orcid":false,"given":"Yuanxing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"An","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115531_bib0005","series-title":"The Design of Rijndael","volume":"vol. 2","author":"Daemen","year":"2002"},{"key":"10.1016\/j.asoc.2026.115531_bib0010","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.future.2019.12.046","article-title":"Block-oriented correlation power analysis with bitwise linear leakage: an artificial intelligence approach based on genetic algorithms","volume":"106","author":"Ding","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"10.1016\/j.asoc.2026.115531_bib0015","series-title":"Selected Areas in Cryptography: 19th International Conference, SAC 2012, Windsor, ON, Canada, August 15\u201316, 2012, Revised Selected Papers 19","first-page":"390","article-title":"An optimal key enumeration algorithm and its application to side-channel attacks","author":"Veyrat-Charvillon","year":"2013"},{"key":"10.1016\/j.asoc.2026.115531_bib0020","series-title":"Cryptographic Hardware and Embedded Systems-CHES 2004: 6th International Workshop Cambridge, MA, USA, August 11\u201313, 2004. Proceedings 6","first-page":"16","article-title":"Correlation power analysis with a leakage model","author":"Brier","year":"2004"},{"issue":"6","key":"10.1016\/j.asoc.2026.115531_bib0025","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3687484","article-title":"Efficient multi-byte power analysis architecture focusing on bitwise linear leakage","volume":"23","author":"Jiang","year":"2024","journal-title":"ACM Trans. Embed. Comput. Syst."},{"issue":"2","key":"10.1016\/j.asoc.2026.115531_bib0030","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.32604\/cmc.2025.060765","article-title":"Particle swarm optimization: advances, applications, and experimental insights","volume":"82","author":"Abualigah","year":"2025","journal-title":"Computers, Materials, & Continua"},{"key":"10.1016\/j.asoc.2026.115531_bib0035","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Glob. Optim."},{"issue":"5","key":"10.1016\/j.asoc.2026.115531_bib0040","doi-asserted-by":"crossref","first-page":"315","DOI":"10.3390\/biomimetics10050315","article-title":"Binary particle swarm optimization with Manta ray foraging learning strategies for high-dimensional feature selection","volume":"10","author":"Liu","year":"2025","journal-title":"Biomimetics"},{"key":"10.1016\/j.asoc.2026.115531_bib0045","article-title":"A survey on particle swarm optimization: evolution, adaptations and practical implementations","author":"Sharma","year":"2025","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"10.1016\/j.asoc.2026.115531_bib0050","article-title":"A novel hybrid adaptive differential evolution for global optimization","volume":"14","author":"Zhang","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.asoc.2026.115531_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102081","article-title":"A comprehensive survey of adaptive strategies in differential evolutionary algorithms","volume":"98","author":"Ye","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.arcontrol.2024.100957","article-title":"A survey on convex optimization for guidance and control of vehicular systems","volume":"57","author":"Wang","year":"2024","journal-title":"Annu. Rev. Control"},{"key":"10.1016\/j.asoc.2026.115531_bib0065","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.neucom.2015.06.083","article-title":"Binary grey wolf optimization approaches for feature selection","volume":"172","author":"Emary","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.asoc.2026.115531_bib0070","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","article-title":"Grey wolf optimizer","volume":"69","author":"Mirjalili","year":"2014","journal-title":"Adv. Eng. Softw."},{"key":"10.1016\/j.asoc.2026.115531_bib0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105746","article-title":"Improved binary grey wolf optimizer and its application for feature selection","volume":"195","author":"Hu","year":"2020","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.asoc.2026.115531_bib0080","series-title":"Cryptographic Hardware and Embedded Systems\u2013CHES 2011: 13th International Workshop, Nara, Japan, September 28\u2013October 1, 2011. Proceedings 13","first-page":"326","article-title":"The LED block cipher","author":"Guo","year":"2011"},{"key":"10.1016\/j.asoc.2026.115531_bib0085","series-title":"Power Analysis Attacks: Revealing the Secrets of Smart Cards","volume":"vol. 31","author":"Mangard","year":"2008"},{"key":"10.1016\/j.asoc.2026.115531_bib0090","series-title":"Adaptation in natural and artificial systems: an introductory analysis with application to biology, Control & Artificial Intelligence","author":"Holland","year":"1975"},{"key":"10.1016\/j.asoc.2026.115531_bib0095","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"9786","article-title":"Learning to solve routing problems via distributionally robust optimization","volume":"vol. 36","author":"Jiang","year":"2022"},{"issue":"18","key":"10.1016\/j.asoc.2026.115531_bib0100","doi-asserted-by":"crossref","first-page":"3896","DOI":"10.1002\/sec.1308","article-title":"A novel bit scalable leakage model based on genetic algorithm","volume":"8","author":"Zhang","year":"2015","journal-title":"Secur. Commun. Netw."},{"key":"10.1016\/j.asoc.2026.115531_bib0105","series-title":"The New Codebreakers: Essays Dedicated to David Kahn on the Occasion of His 85th Birthday","first-page":"355","article-title":"A heuristic approach to assist side channel analysis of the data encryption standard","author":"Clavier","year":"2016"},{"key":"10.1016\/j.asoc.2026.115531_bib0110","series-title":"Correlation electromagnetic analysis on an FPGA implementation of CRYSTALS-Kyber, Cryptology ePrint Archive","author":"Rodriguez","year":"2022"},{"issue":"2","key":"10.1016\/j.asoc.2026.115531_bib0115","doi-asserted-by":"crossref","first-page":"839","DOI":"10.3390\/app11020839","article-title":"Multibyte electromagnetic analysis based on particle swarm optimization algorithm","volume":"11","author":"Sun","year":"2021","journal-title":"Appl. Sci."},{"key":"10.1016\/j.asoc.2026.115531_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110558","article-title":"Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy","volume":"145","author":"Li","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112121","article-title":"Single-objective and multi-objective mixed-variable grey wolf optimizer for joint feature selection and classifier parameter tuning","volume":"165","author":"Li","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121917","article-title":"An adaptive learning grey wolf optimizer for coverage optimization in WSNs","volume":"238","author":"Yu","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112305","article-title":"A modified grey wolf optimization-based dendritic neural model for stock index return prediction","volume":"167","author":"Wang","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0140","article-title":"Cost-sensitive neural network: a grey wolf optimizer-based approach for breast cancer prediction","volume":"266","author":"Edsa","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0145","article-title":"A random walk grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction","volume":"206","author":"Deep","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110583","article-title":"BE-GWO: binary extremum-based grey wolf optimizer for discrete optimization problems","volume":"146","author":"Banaie-Dezfouli","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120802","article-title":"Hybrid binary grey wolf naked mole-rat algorithm for fragment-type UWB antenna optimization using time-varying transfer functions","volume":"232","author":"Singh","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110609","article-title":"Discrete grey wolf optimization algorithm for solving k-coverage problem in directional sensor networks with network lifetime maximization viewpoint","volume":"146","author":"Ekhlas","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108345","article-title":"Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems","volume":"117","author":"Yin","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115531_bib0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125866","article-title":"Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing","volume":"264","author":"Chen","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0175","article-title":"Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation","volume":"225","author":"Zamfirache","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115531_bib0180","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ins.2021.11.051","article-title":"Policy iteration reinforcement learning-based control using a grey wolf optimizer algorithm","volume":"585","author":"Zamfirache","year":"2022","journal-title":"Inf. Sci."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626009798?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626009798?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T07:54:38Z","timestamp":1783670078000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626009798"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":36,"alternative-id":["S1568494626009798"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115531","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"BODIO: A bit-oriented distance-iterated optimizer for key search with bitwise linear leakage","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115531","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115531"}}