Analyzing Cryptographic Techniques and Machine Learning Algorithms for Crime Prediction

Analyzing Cryptographic Techniques and Machine Learning Algorithms for Crime Prediction

Udayveer Singh Virk, Devansh Verma, Gagandeep Singh, Prof. Sheetal Laroiya

Apex institute of technology,computer science
Chandigarh University

Mohali, Punjab

Abstract— This report discusses cryptography techniques. Network security is defined as "keeping information hidden and secure from unauthorized users," whereas cryptography is defined as "the science of data protection." The Fundamental Requirements for Data Transmission are addressed in this work and as well as security attacks such as Data Transmission Interruption, Interception, and Modification. The Cryptographic Framework is explained using a generalized function, in which data is encrypted and decrypted using techniques such as the RSA algorithm, Hash Functions, and other cryptographic algorithms.SVM algorithms to analysis and predict the future cyber crime.

This report introduces Cryptography Techniques. Cryptography is “The science of protecting data” & Network Security “keeping information private and Secure from unauthorized Users”. This paper gives the Fundamental Requirements for the Data Transmission, the security attacks like Interruption, Interception and Modification of the data Transmission.

Keywords—cryptography, cybersecurity, machine learning, cybercrime prediction