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            <name>Title</name>
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    <name>Article</name>
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              <text>An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication</text>
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          <name>Subject</name>
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              <text>Compression; Encryption; Fiber optic communication; Optical networks; Optimal key generation; Security</text>
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              <text>Latest advancements in fiber optic communication have gained significant attention among researchers owing to many benefits such as high data rate, acceptable cost, bandwidth, low attenuation, etc. Fiber optic networks are found to be a commonly utilized platform to transfer data in several applications such as personal, commercial, military areas, etc. Although fiber optic networks are highly beneficial, security remains a challenging design issue. Numerous state of art works has been developed to achieve security in fiber optic communication. Among the various methods, compression then encryption is an effective way to effectively and securely transmit the data. With this motivation, this paper presents a new Low Complexity Compression Then Encryption using Optimal Homomorphic Encryption (LCCE-OHE) technique for secured fiber optic communication. The proposed LCCE-OHE technique operates on two major phases namely compression and encryption. At the first stage, low complexity compression using Neighboring Indexing Sequence (NIS) with Deflate algorithm, named Normalized Information Distance (NID) is used. Besides, in the second stage, Quasi Oppositional Sail Fish Optimizer with Homomorphic Encryption (QOSFO-HE) technique is employed. The QOSFO algorithm is derived by incorporating the quasi oppositional learning (QOBL) concept to the SFO algorithm and is applied to optimally select the encryption keys. The performance validation of the proposed model takes place on two benchmark datasets and the experimental results are examined interms of different performance measures. The experimental values highlighted the improved compression efficiency and security level of the LCCE-OHE technique over the other techniques.  2022 Elsevier GmbH</text>
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              <text>Venu D.; Mayuri A.V.R.; Neelakandan S.; Murthy G.L.N.; Arulkumar N.; Shelke N.</text>
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              <text>Optik, Vol-252</text>
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              <text>Elsevier GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.ijleo.2021.168545" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijleo.2021.168545&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122210706&amp;amp;doi=10.1016%2Fj.ijleo.2021.168545&amp;amp;partnerID=40&amp;amp;md5=bfc4a6dde14053df54ce64a7f2692e9a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122210706&amp;amp;doi=10.1016%2fj.ijleo.2021.168545&amp;amp;partnerID=40&amp;amp;md5=bfc4a6dde14053df54ce64a7f2692e9a&lt;/a&gt;</text>
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              <text>ISSN: 304026</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Venu D., Department of ECE, KITS Warangal, India; Mayuri A.V.R., School of Computing Science and Engineering, VIT Bhopal University, India; Neelakandan S., Department of Computer Science and Engineering, R.M.K Engineering College, Chennai, India; Murthy G.L.N., Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Andhra Pradesh, India; Arulkumar N., Department of CS, CHRIST (Deemed to be University), Banglore, India; Shelke N., Department of CSE, Priyadarshini Indira Gandhi College of Engineering, Nagpur, India</text>
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