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All Outputs (43)

Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices (2021)
Journal Article
Rafique, S., Fleury, M., Kanwal, N., Karamat, I., & Asghar, M. (2021). Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices. IEEE Access, 5354 - 5370. https://doi.org/10.1109/access.2020.3048311

Emotional care is important for some patients and their caregivers. Within a clinical or home care situation, technology can be employed to remotely monitor the emotional response of such people. This paper considers pupillometry as a non-invasive wa... Read More about Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices.

Towards a privacy preserving surveillance approach for smart cities (2020)
Presentation / Conference Contribution
Tariq, F., Kanwal, N., Ansari, M. S., Afzaal, A., Asghar, M. N., & Anjum, M. J. (2020, December). Towards a privacy preserving surveillance approach for smart cities. Paper presented at 3rd Smart Cities Symposium (SCS 2020), , Online Conference

SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension (2020)
Journal Article
Asghar, M., Abdullah, S., Kanwal, N., Fleury, M., & Shah, R. (2020). SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension. IEEE Access, 187784 - 187807. https://doi.org/10.1109/ACCESS.2020.3030608

This paper proposes a lightweight cipher scheme aimed at the scalable extension of the High Efficiency Video Coding (HEVC) codec, referred to as the Scalable HEVC (SHVC) standard. This stream cipher, Symmetric Cipher for Lightweight Encryption based... Read More about SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension.

MuLViS: Multi-Level Encryption Based Security System for Surveillance Videos (2020)
Journal Article
Qiao, Y., Ansari, M., Lee, B., Shifa, A., Asghar, M., Fleury, M., Kanwal, N., & Herbst, M. (2020). MuLViS: Multi-Level Encryption Based Security System for Surveillance Videos. IEEE Access, 177131 - 177155. https://doi.org/10.1109/ACCESS.2020.3024926

Video Surveillance (VS) systems are commonly deployed for real-time abnormal event detection and autonomous video analytics. Video captured by surveillance cameras in real-time often contains identifiable personal information, which must be privacy p... Read More about MuLViS: Multi-Level Encryption Based Security System for Surveillance Videos.

Chain-of-Evidence in Secured Surveillance Videos using Steganography and Hashing (2020)
Presentation / Conference Contribution
Kanwal, N., Asghar, M. N., Samar Ansari, M., Lee, B., Fleury, M., Herbst, M., & Qiao, Y. (2020, August). Chain-of-Evidence in Secured Surveillance Videos using Steganography and Hashing. Paper presented at 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Calgary, AB, Canada

Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing (2020)
Journal Article
Kanwal, N., Asghar, M., Ansari, M., Fleury, M., Lee, B., Herbst, M., & Qiao, Y. (2020). Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing. IEEE Access, 153413 - 153424. https://doi.org/10.1109/access.2020.3016211

Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become a piece of evidence until p... Read More about Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing.