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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sengupta, Anirban | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:34:45Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:34:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Sengupta, A. (2021). Double line of defence to secure JPEG codec hardware for medical imaging systems. Secured hardware accelerators for DSP and image processing applications (pp. 59-112) | en_US |
dc.identifier.isbn | 9781839533068 | - |
dc.identifier.other | EID(2-s2.0-85114571273) | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/4525 | - |
dc.description.abstract | The chapter describes a double line of defence mechanism for securing a JPEG codec hardware accelerator used in medical imaging systems. The chapter starts with the background/motivation of JPEG codec for imaging modalities, followed by discussing the dual line of security based on structural obfuscation and crypto-steganography for the image compression hardware, and highlighting the results on case studies in terms of security and overhead. The chapter is organized as follows: Section 3.1 introduces the chapter; Section 3.2 discusses on the motivation of using JPEG compression in medical imaging systems; Section 3.3 presents the salient features of the chapter; Sections 3.4 and 3.5 explain the process of double line of defence for a JPEG codec hardware accelerator; Section 3.6 presents the analysis on case studies; Section 3.7 concludes the chapter; Section 3.8 presents some exercise for readers. © The Institution of Engineering and Technology 2021. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institution of Engineering and Technology | en_US |
dc.source | Secured Hardware Accelerators for DSP and Image Processing Applications | en_US |
dc.title | Double line of defence to secure JPEG codec hardware for medical imaging systems | en_US |
dc.type | Book Chapter | en_US |
Appears in Collections: | Department of Computer Science and Engineering |
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