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Outputs (25)

FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications (2023)
Journal Article
Shees, A., Ansari, M. S., Varshney, A., Asghar, M. N., & Kanwal, N. (2023). FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications. Procedia Computer Science, 218, 2233-2242. https://doi.org/10.1016/j.procs.2023.01.199

Fire hazards cause huge ecological, social and economical losses in day to day life. Due to the rapid increase in the prevalence of fire accidents, it has become vital to equip the assets with fire prevention systems. There have been numerous researc... Read More about FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications.

Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities (2023)
Journal Article
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023). Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities. Cryptography, 7(1), Article ARTN 7. https://doi.org/10.3390/cryptography7010007

The purpose of smart surveillance systems for automatic detection of road traffic accidents is to quickly respond to minimize human and financial losses in smart cities. However, along with the self-evident benefits of surveillance applications, priv... Read More about Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities.

AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS (2022)
Journal Article
Aribilola, I., Asghar, M., Kanwal, N., Ansari, M., Lee, B., & Xplore, I. (2022). AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS. https://doi.org/10.1109/ISSC55427.2022.9826141

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using unsupervised learning, it is a challenge to detect objects in such s... Read More about AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS.

SoK: Context and Risk Aware Access Control for Zero Trust Systems (2022)
Journal Article
Newe, T., Lee, B., Xiao, S., Ye, Y., & Kanwal, N. (2022). SoK: Context and Risk Aware Access Control for Zero Trust Systems. Security and Communication Networks, https://doi.org/10.1155/2022/7026779

Evolving computing technologies such as cloud, edge computing, and the Internet of Things (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures such as those based on the c... Read More about SoK: Context and Risk Aware Access Control for Zero Trust Systems.

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming (2022)
Journal Article
Shifa, A., Abdullah, S., Kanwal, N., Fleury, M., Gillani, S., & Asghar, M. (2022). VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming. Entropy, 755 - 755. https://doi.org/10.3390/e24060755

Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cog... Read More about VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming.

A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep learning based object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.

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.

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., …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.

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.