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Dr Gagangeet Aujla's Outputs (141)

DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem (2019)
Presentation / Conference Contribution
Aujla, G. S., Jindal, A., Chaudhary, R., Kumar, N., Vashist, S., Sharma, N., & Obaidat, M. S. (2019, December). DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem. Presented at ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China

ECCAuth: A Secure Authentication Protocol for Demand Response Management in a Smart Grid System (2019)
Journal Article
Kumar, N., Aujla, G. S., Das, A. K., & Conti, M. (2019). ECCAuth: A Secure Authentication Protocol for Demand Response Management in a Smart Grid System. IEEE Transactions on Industrial Informatics, 15(12), 6572 - 6582. https://doi.org/10.1109/tii.2019.2922697

The devices in smart grids (SG) transfer data to a utility center (UC) or to the remote control centers. Using these data, the energy balance is maintained between consumers and the grid. However, this flow of data may be tampered by the intruders, w... Read More about ECCAuth: A Secure Authentication Protocol for Demand Response Management in a Smart Grid System.

Edge Computing-Based Security Framework for Big Data Analytics in VANETs (2019)
Journal Article
Garg, S., Singh, A., Kaur, K., Aujla, G. S., Batra, S., Kumar, N., & Obaidat, M. (2019). Edge Computing-Based Security Framework for Big Data Analytics in VANETs. IEEE Network, 33(2), 72-81. https://doi.org/10.1109/mnet.2019.1800239

With the exponential growth of technologies such as IoT, edge computing, and 5G, a tremendous amount of structured and unstructured data is being generated from different applications in the smart citiy environment in recent years. Thus, there is a n... Read More about Edge Computing-Based Security Framework for Big Data Analytics in VANETs.

DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing (2018)
Presentation / Conference Contribution
Mudgill, V., Aujla, G. S., Kumar, N., Obaidat, M. S., & Prodan, R. (2018, December). DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. Presented at 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates

DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR (2018)
Presentation / Conference Contribution
Jindal, A., Aujla, G. S., Kumar, N., Prodan, R., & Obaidat, M. S. (2018, December). DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. Presented at 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates

SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling (2018)
Presentation / Conference Contribution
Kapoor, L., Jindal, A., Benslimane, A., Aujla, G. S., Chaudhary, R., Kumar, N., & Zomaya, A. Y. (2018, December). SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling. Presented at 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions (2018)
Journal Article
Chaudhary, R., Aujla, G. S., Kumar, N., & Zeadally, S. (2019). Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions. IEEE Internet of Things Journal, 6(3), 4897 - 4909. https://doi.org/10.1109/jiot.2018.2878707

Due to its widespread popularity and usage in many applications (smart transport, energy management, e-healthcare, smart ecosystem, and so on), the Internet of Things (IoT) has become popular among end users over the last few years. However, with an... Read More about Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions.