International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
ROLE OF AI IN END-TO-END ENCRYPTION Arimilli Pardhavi1, Kona Martina Rejoice2, J.P.Pramod3 1B.Tech Student Stanley College of Engineering and Technology for Women Abids Hyderabad 2 B.Tech Student Stanley College of Engineering and Technology for Women Abids Hyderabad 3Asst Professor, Dept of Physics, Stanley College of Engineering and Technology for Women Abids Hyderabad
------------------------------------------------------------------------***------------------------------------------------------------------------ABSTRACT As the world becomes more connected, data security and privacy have increasingly become global concerns because of cyber threats and breaches. End-to-end encryption (E2EE) is a method that prevents interception of sensitive data between two parties communicating, ensuring the sensitive data being transmitted is protected from third-party modification. This is used across a wide array of sectors like finance, healthcare, social media, and messaging. Although traditional techniques of encryption were the backbone of secure communication, with the rise of cyber terrorism and quantum computing, reliable secure communication seems impossible. AI is one of the many revolutionary technologies that helps turn this challenge into an opportunity and is able to modernize existing E2E protocols significantly, making them more difficult to breach. AI, along with its subdivisions, ML and DL, can change the field of cryptography and introduce automation of key management, allow greater operational effectiveness of cryptographic systems, and enable advanced identification and tracking of threats. Also, AI has the potential to protect communications against the threat of quantum computing, which would otherwise render many existing cryptographic algorithms useless. AI can be very helpful in the segment of end-to-end encryption. First, it could assist in creating new adaptive encryption systems that respond in real-time to new advanced attacks. AI can also improve encryption systems by suppressing the managed traffic in an encrypted form without decryption, which can be used to enhance cyber countermeasures for breaches, covert MITM attacks, replay attacks, and phishing attempts. At the same time, it can help in the refinement and development of new forms of predictive analytics to enhance the rationing of key elements. Additionally, AI can provide significant support in developing encryption methods of the post-quantum era, where quantum computers can easily bypass present security systems. AI can also assist in the simulation of quantum environments and in the testing of cryptographic methods against various post-quantum adversaries.
Keywords: Artificial Intelligence (AI), Cryptography, Cybersecurity, End-to-End Encryption (E2EE), Machine Learning (ML), Quantum Computing.
INTRODUCTION In a world that’s increasingly interconnected, maintaining privacy and security against data breaches and thefts has never been more important. It is vital that sensitive data exchanged on various online platforms remain secure when transferred. The common approach used to ensure data security during transmission is known as end-to-end encryption, which allows only the sender and the receiver of the communication to view the original message. E2EE can be found in use in various other services such as online banking, messaging, and video calls. Such technology helps prevent sensitive information from being wrongly accessed, not even by the service providers. Though traditional encryption algorithms are effective, their performance in the face of unending changes in cyberspace can be questioned. Cyberhackers are breaking barriers and evolving with advanced techniques to break encryption systems and many current security strategies. The emergence of quantum computing also poses a risk to numerous cryptographic methods. All these explain the inadequacy of encryption methods in use today. This is the perfect scenario for artificial intelligence (AI) to thrive. Machine learning, deep learning, and AI in general will disrupt the world of cryptography in a major way.
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