國立虎尾科技大學 |

Authentication of video feeds in smart edge surveillance networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Authentication of video feeds in smart edge surveillance networks / by Deeraj Nagothu and Yu Chen.
作者:	Nagothu, Deeraj,
其他作者:	Chen, Yu,
面頁冊數:	1 online resource (50 pages) :illustrations. :
標題:	Edge computing. -
電子資源:	https://dx.doi.org/10.1117/3.2671993
ISBN:	9781510663008

Authentication of video feeds in smart edge surveillance networks
Nagothu, Deeraj,

Authentication of video feeds in smart edge surveillance networks [electronic resource] /by Deeraj Nagothu and Yu Chen. - 1 online resource (50 pages) :illustrations. - SPIE spotlight ;SL67. - SPIE spotlight ;SL64..

Includes bibliographical references.

Preface -- 1 Introduction -- 2 Fundamentals of IoT and Video Surveillance -- 3 Electrical Network Frequency Signals -- 4 ENF-Based Authentication Technology -- 5 Challenges and Opportunities -- References

Restricted to subscribers or individual electronic text purchasers.

"Large-scale Internet of Video Things (IoVT) based smart edge surveillance systems (SESS) become essential for smart cities because of the increasing demands on situation awareness (SAW). However, the rapid development in artificial intelligence (AI) technologies enables fake video/audio streams and doctored images to fool smart city security operators. Authenticating visual/audio feeds becomes the frontier defending the safety and security of residents, properties, and critical infrastructures. To date, due to the gap between the compute-intensive video processing technologies and the resource-constraints in the IoVT environments, there is a compelling need for lightweight, real-time, online video feeds authentication technologies. Starting with the background and fundamentals of IoT and video surveillance, this Spotlight Series book provides an overview of visual layer attacks on SESS and well-known video authentication technologies. Then, following an introduction to the Electric Network Frequency (ENF) signals, this book highlights an ENF-based audio/video authentication technology. Along with a detailed discussion on the rationales and principles, the False Frame Injection (FFI) attacks is selected as a case study that illustrates the system implementation and performance evaluation of the ENF-based video feeds authentication technology."--

Mode of access: World Wide Web.

ISBN: 9781510663008

Standard No.: 10.1117/3.2671993doiSubjects--Topical Terms:

1218269
Edge computing.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TK6680.3 / .N353 2023eb

Dewey Class. No.: 621.38928

Authentication of video feeds in smart edge surveillance networks
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506 # $a Restricted to subscribers or individual electronic text purchasers.
520 # $a "Large-scale Internet of Video Things (IoVT) based smart edge surveillance systems (SESS) become essential for smart cities because of the increasing demands on situation awareness (SAW). However, the rapid development in artificial intelligence (AI) technologies enables fake video/audio streams and doctored images to fool smart city security operators. Authenticating visual/audio feeds becomes the frontier defending the safety and security of residents, properties, and critical infrastructures. To date, due to the gap between the compute-intensive video processing technologies and the resource-constraints in the IoVT environments, there is a compelling need for lightweight, real-time, online video feeds authentication technologies. Starting with the background and fundamentals of IoT and video surveillance, this Spotlight Series book provides an overview of visual layer attacks on SESS and well-known video authentication technologies. Then, following an introduction to the Electric Network Frequency (ENF) signals, this book highlights an ENF-based audio/video authentication technology. Along with a detailed discussion on the rationales and principles, the False Frame Injection (FFI) attacks is selected as a case study that illustrates the system implementation and performance evaluation of the ENF-based video feeds authentication technology."-- $c Provided by publisher.
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