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It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation. <\/jats:p>","DOI":"10.1177\/1550147719856516","type":"journal-article","created":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T10:58:46Z","timestamp":1560337126000},"page":"155014771985651","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["A compressive sensing\u2013based adaptable secure data collection scheme for distributed wireless sensor networks"],"prefix":"10.1177","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0130-2310","authenticated-orcid":false,"given":"Zhen","family":"Liu","sequence":"first","affiliation":[{"name":"College of Cryptography Engineering, Armed Police Force Engineering University, Xi\u2019an, 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