Journal article 24 views
LSTM guided homomorphic encryption for threat-resistant IoT networks
Discover Computing
Swansea University Author:
Cheng Cheng
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/s10791-025-09843-4
Abstract
LSTM guided homomorphic encryption for threat-resistant IoT networks
| Published in: | Discover Computing |
|---|---|
| Published: |
Springer
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa71104 |
| first_indexed |
2025-12-08T10:23:30Z |
|---|---|
| last_indexed |
2025-12-09T14:20:20Z |
| id |
cronfa71104 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2025-12-08T10:41:20.1968266</datestamp><bib-version>v2</bib-version><id>71104</id><entry>2025-12-08</entry><title>LSTM guided homomorphic encryption for threat-resistant IoT networks</title><swanseaauthors><author><sid>11ddf61c123b99e59b00fa1479367582</sid><ORCID>0000-0003-0371-9646</ORCID><firstname>Cheng</firstname><surname>Cheng</surname><name>Cheng Cheng</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-12-08</date><deptcode>MACS</deptcode><abstract/><type>Journal Article</type><journal>Discover Computing</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher>Springer</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords/><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>10.1007/s10791-025-09843-4</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>UK Research and Innovation (EP/W020408/1 ; RS718)</funders><projectreference/><lastEdited>2025-12-08T10:41:20.1968266</lastEdited><Created>2025-12-08T10:21:09.6198014</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Cheng</firstname><surname>Cheng</surname><orcid>0000-0003-0371-9646</orcid><order>1</order></author></authors><documents/><OutputDurs/></rfc1807> |
| spelling |
2025-12-08T10:41:20.1968266 v2 71104 2025-12-08 LSTM guided homomorphic encryption for threat-resistant IoT networks 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2025-12-08 MACS Journal Article Discover Computing Springer 0 0 0 0001-01-01 10.1007/s10791-025-09843-4 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) UK Research and Innovation (EP/W020408/1 ; RS718) 2025-12-08T10:41:20.1968266 2025-12-08T10:21:09.6198014 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Cheng Cheng 0000-0003-0371-9646 1 |
| title |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| spellingShingle |
LSTM guided homomorphic encryption for threat-resistant IoT networks Cheng Cheng |
| title_short |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| title_full |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| title_fullStr |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| title_full_unstemmed |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| title_sort |
LSTM guided homomorphic encryption for threat-resistant IoT networks |
| author_id_str_mv |
11ddf61c123b99e59b00fa1479367582 |
| author_id_fullname_str_mv |
11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng |
| author |
Cheng Cheng |
| author2 |
Cheng Cheng |
| format |
Journal article |
| container_title |
Discover Computing |
| institution |
Swansea University |
| doi_str_mv |
10.1007/s10791-025-09843-4 |
| publisher |
Springer |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
| document_store_str |
0 |
| active_str |
0 |
| published_date |
0001-01-01T05:28:49Z |
| _version_ |
1851550890317578240 |
| score |
11.089947 |

