Application of Cryptography and Deep Learning for Smart Environments
Raj Pal Singh, Abhishek Kumar Rawat, Rajat Verma · 2025
With its potential to drastically change the way of handle energy, healthcare, and transportation, among other aspects in life, the concept of “Smart Environments” has garnered a lot of attention recently. This abstract explores the application of two cutting-edge Technologies, Cryptography, and Deep Learning, in the development of Smart Environments. Cryptography, the study of secure communication, is crucial for safeguarding the integrity and privacy of sensitive data in intelligent settings. By encrypting and decrypting data using cryptographic techniques, it is possible to prevent unauthorized access. This abstract explores the various cryptographic methods such as hash functions, symmetric encryption, and asymmetric encryption that are employed in Smart Environments. It also looks at the opportunities and difficulties of putting cryptography into practice in the framework of Smart Environments. In the field of machine learning, “Deep Learning” has emerged as a very proficient method for analyzing and interpreting intricate data. Smart surroundings can process large volumes of sensory input and make intelligent judgments instantly by utilizing deep neural networks. The many uses of machine learning in Smart Environments such as recognizing activities, recognizing anomalies, and predictive maintenance are examined in this abstract. It also examines the benefits and drawbacks of applying Deep Learning methods in intelligent environments. Intelligent decision-making and improved security can be attained in smart settings by merging the benefits of Deep Learning with Cryptography. This abstract also discusses prospects and possible obstacles to the use of such devices in smart settings, including issues with privacy, energy efficiency, and scalability. To summarize, the integration of Deep Learning and Cryptography in intelligent settings has the great potential to revolutionize our everyday existence. Growing security, efficiency, & automation across a range of industries are anticipated as these technologies develop, paving the way for a more intelligent and connected future.