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Internet Technol."],"published-print":{"date-parts":[[2022,5,31]]},"abstract":"<jats:p>The implementation of a variety of complex and energy-intensive mobile applications by resource-limited mobile devices (MDs) is a huge challenge. Fortunately, mobile edge computing (MEC) as a new computing paragon can offer rich resources to perform all or part of the MD\u2019s task, which greatly reduces the energy consumption of the MD and improves the quality of service (QoS) for applications. However, offloading tasks to the edge server is vulnerable to attacks such as tampering and snooping, resulting in a deep learning (DL) security feature developed by major cloud service providers. An effective security strategy method to minimize ongoing attacks in the MEC setting is proposed. The algorithm is based on the synthetic principle of a special set of strategies, and it can quickly construct suboptimal solutions even if the number of targets achieves hundreds of millions. In addition, for a given structure and a given number of patrollers, the upper bound of the protection level can be obtained, and the lower bound required for a given protection level can also be inferred. These bounds apply to universal strategies. By comparing with the previous three basic experiments, it can be proved that our algorithm is better than the previous ones in terms of security and running time.<\/jats:p>","DOI":"10.1145\/3458931","type":"journal-article","created":{"date-parts":[[2022,5,14]],"date-time":"2022-05-14T12:46:06Z","timestamp":1652532366000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Enhancing Security-Problem-Based Deep Learning in Mobile Edge Computing"],"prefix":"10.1145","volume":"22","author":[{"given":"Xiao","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Technology, Zibo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingchu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Technology, China and School of Software, Dalian University of Technology, Dalian, Kaifaqu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Bilal Hussain","family":"Shah","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University of Technology, China and School of Computing and Mathematics, Manchester Metropolitan University, Metropolitan, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dinh-Thuan","family":"Do","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanfang","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Zhejiang, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Constandinos X.","family":"Mavromoustakis","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Mobile Systems Laboratory (MoSys Lab), University of Nicosia and University of Nicosia Research Foundation, Nicosia, Cyprus"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Mastorakis","sequence":"additional","affiliation":[{"name":"Department of Management Science and Technology, Hellenic Mediterranean University, Crete, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evangelos","family":"Pallis","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,5,14]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.5555\/1558013.1558020"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.03.003"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2009.211"},{"key":"e_1_3_3_5_2","volume-title":"24th AAAI Conference on Artificial Intelligence","author":"Basilico Nicola","year":"2010","unstructured":"Nicola Basilico, Nicola Gatti, and Federico Villa. 2010. 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