• Ms. Monika Saini
• Dr. Gaurav Aggarwal

The research is focusing on providing innovative designs that would be used for security of big data. Several mechanisms could be applied to secure big data such as cryptography techniques and data encoding mechanisms. Compression of big data might improve the performance during encryption operation. Big Data analysis with cryptography helps in increasing security. Fog computing extends cloud capabilities to the network's edge, making it crucial to optimize data processing and delivery for low latency and real-time responsiveness. Strategies for improvement include data compression and aggregation to minimize network traffic, content caching for quicker delivery, and edge analytics for local processing. Load balancing, distributed computing, and edge-based machine learning can parallelize and optimize data processing tasks. Quality of Service (QoS) management ensures data prioritization, while latency-aware routing selects optimal pathways. Robust network infrastructure and well-optimized edge devices are foundational and continuous monitoring, security, and privacy measures are essential for a holistic solution that efficiently manages and processes big data in a fog environment.

Big data, Cryptography, Security, Quality of service, Cloud computing, Fog computing and Networks.

"AN ENHANCEMENT IN BIG DATA SECURITY AND PERFORMANCE BY USING FOG COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.f163-f170, February-2024, Available :http://www.jetir.org/papers/JETIR2402519.pdf

"AN ENHANCEMENT IN BIG DATA SECURITY AND PERFORMANCE BY USING FOG COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppf163-f170, February-2024, Available at : http://www.jetir.org/papers/JETIR2402519.pdf