Artificial Intelligence and Machine Learning Combined Security Enhancement Using ENIGMA

Title

Artificial Intelligence and Machine Learning Combined Security Enhancement Using ENIGMA

Creator

Sultana M.; Thomas S.; Jayapandian N.

Description

Enigma is a relatively new and emerging field that has the potential to bring significant benefits to the way contracts are executed and managed. The integration of Artificial Intelligence (AI) into smart contract technology can automate repetitive tasks, reduce the need for human intervention, improve decision-making, and provide transparency and trust. It can also provide more flexibility, handle more complex tasks, learn from past experiences, have predictive capabilities, and have human oversight and intervention. All these features make Enigma contracts more advanced than traditional smart contracts. AI-powered smart contracts, or Enigma contracts, can also improve contract execution, increase efficiency, facilitate better negotiation, and facilitate automated dispute resolution. However, as the technology is still in its early stages, major challenges and risks can adopted but the need for robust security. The potential for AI is to make decisions that are not in the best interests of its parties. Despite these challenges, the potential benefits of AI-powered smart contracts make them an area of on-going research and development that is worth exploring further. Enigma can be used or applied in various fields, and can be used to secure the sensitive information by applying robust security system. Enigma contract is a AI powered smart contract which is used to automate decision-making processes and improve its efficiency, Enigma as the name suggest it is a complex security network which has the potential to revolutionize the security system by increasing efficiency. 2023 IEEE.

Source

Proceedings of the 2nd International Conference on Edge Computing and Applications, ICECAA 2023, pp. 208-212.

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Blockchain; Decentralize; Multi -agent; Optimization; Swarm Intelligence

Coverage

Sultana M., Christ (Deemed to Be University), Department of Cse, India; Thomas S., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, India

Rights

Restricted Access

Relation

ISBN: 979-835034757-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICECAA58104.2023.10212324

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