دورية أكاديمية

CamDec: Advancing axis P1435-LE video camera security using honeypot-based deception

التفاصيل البيبلوغرافية
العنوان: CamDec: Advancing axis P1435-LE video camera security using honeypot-based deception
المؤلفون: Sikos, Leslie F., Valli, Craig, Grojek, Alexander E., Holmes, David J., Wakeling, Samuel G., Cabral, Warren Z., Karie, Nickson M.
المصدر: Research outputs 2022 to 2026
بيانات النشر: Edith Cowan University, Research Online, Perth, Western Australia
سنة النشر: 2023
المجموعة: Edith Cowan University (ECU, Australia): Research Online
مصطلحات موضوعية: Cyberattack, Honeypot, Intrusion detection, Network forensics, Video data privacy, Video stream security, Video tampering prevention, Computer Sciences, Information Security, Physical Sciences and Mathematics
الوصف: The explosion of online video streaming in recent years resulted in advanced services both in terms of efficiency and convenience. However, Internet-connected video cameras are prone to exploitation, leading to information security issues and data privacy concerns. The proliferation of video-capable Internet of Things devices and cloud-managed surveillance systems further extend these security issues and concerns. In this paper, a novel approach is proposed for video camera deception via honeypots, offering increased security measures compared to what is available on conventional Internet-enabled video cameras.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: unknown
العلاقة: https://ro.ecu.edu.au/ecuworks2022-2026/2005Test; https://ro.ecu.edu.au/context/ecuworks2022-2026/article/3005/viewcontent/CamDec_20Advancing_20axis.pdfTest
DOI: 10.1007/s11416-023-00463-4
الإتاحة: https://doi.org/10.1007/s11416-023-00463-4Test
https://ro.ecu.edu.au/ecuworks2022-2026/2005Test
https://ro.ecu.edu.au/context/ecuworks2022-2026/article/3005/viewcontent/CamDec_20Advancing_20axis.pdfTest
حقوق: http://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.B921FC8E
قاعدة البيانات: BASE