CRYPTOGRAPHIC ALGORITHMS
MIT 6.034 Artificial Intelligence Projects
The 5 core principles of Cybersecurity are Confidentiality, Integrity, Availability, Authentication and Non-Repudiation. Cryptography Algorithms are the foundational core responsible for 4 of them with the exception of Availability.
The project is an extension of my Network Security and Advanced Network Security Courses, but a decoupling of my Masters Thesis in 2016 at TMU, by exploring the updated algorithms used for the Secure Enterprise Network Design project. I researched and implemented the most secured encryption algorithms currently available in year 2023 which are AES-256_GCM and RSA-4096 key size (Symmetric and Asymmetric Encryption). Four of the top Secure Hashing Function Algorithms which are (sha512, sha3_384, sha3_512 and blake3). And the secure key exchange algorithm from Diffie-Hellman using 4096 key size.
This project was written in Python 3.xx programming language for the AI course project.
BUILT A 2FA/MFA (TOTP) and (HOTP) APPLICATION WITH A SECURE PASSWORD GENERATOR
A SaaS based multifactor authenticator TOTP(Time Based One Time Password) app was created using Python3.x programming language to verify users identity to an application(Privateboss_App) given integration with (Microsoft/Google) authenticator applications and QRcode download was enabled for initial identity verification.
Offline/Recovery code application was created to ensure users can still login into the application if there is no internet service or after 5 failed attempt with authenticator's One Time Password using HOTP (HMAC One Time Password)
A Secure Password Generator was also built to offer great password security. While I strongly advocate for SSO(Single Sign On) with 2FA/MFA as part of a strong identity solution, a secure random password with a minimum of 15 strings is a better alternative to reusing passwords on multiple platforms.
This application was written in Python 3.xx programming language for the AI course project.
SECURE Auto_Tor_IP Changer
A secured auto_tor_ip_changer was made to guarantee privacy and secure access the onion network/dark web using firefox browser. This can be used in conjuction with the tor_browser only by simply removing the "response = requests.get(url,proxies=dict(https='socks5://127.0.0.1:9050'))" and replacing it with "response = requests.get(url)". Packages have to be installed before the libaries in the python environment work
The application allows tor network users to continually change their tor IP address every 67 seconds using secure protocols only and queries https://check.torproject.org for ip updates.
This project was written in Python 3.xx programming language for the AI course project.