Broadcasting And Its Receiving Agent Based M-Commerce Model displays the M-Commerce background. The present M-Commerce model shows the transaction, driving factors, characteristics and all kinds of broadcasting and its receiving agents. The study is analyzing the existing M-Commerce's Characteristics. Changing technology is playing an important role for an M-Commerce. The work is observing m-commerce transactions and its related variables, they are deriving from the Artificial Intelligence based capabilities from the real market place. It is also available from the internet too. The study is using primary and secondary data from the real market places. Stakeholders of the market places need to use Artificial Intelligence for performing m-commerce based transactions.

Keywords: M-Commerce, Artificial Intelligence.

[1]. Broadcasting and Its Receiving Agent based M-Commerce Business Model by Trivedi J H, Pandya J.G, Trivedi P.H, And Jani A.N. is base model for the present work.H.N.G.University. Patan. India
[2]. Broadcasting and Its Receiving Agent Based M-Commerce Model: Recognize M-commerce's Characteristics, Trivedi Jaydipkumar H ||, Patel Paresh N ||, Patel Hemant N ||, Soni Jigar D. IOSR Journal of Engineering (IOSRJEN)ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 04, Issue 01(January.2014), ||V1|| PP 01-11
[3]. Jason J Zhang, Yufei Yuan, Norman Archar, Driving Force for M-commerce Success
[4]. M-Commerce Driving Factors and Transaction Variables: Aspects that Construct the M-Commerce Model. Trivedi Jaydipkumar H, Dr. J.G. Pandya, Patel Jagdish M, Mithapara Anita. IOSRJEN, Vol.1, Issue 2.PP.135- 141.
[5]. Norman Sadeh,M-Commerce Technologies, Services and Business Models.

Artificial intelligence pertains to the ability of machines or software to exhibit intelligence.AI is a specialized domain of computer science. Human capabilities will be either enhanced or replaced by intelligent machines in the future. Artificial intelligence has revolutionized various fields by providing solutions to complex problems through expert systems. Its extensive use has made a significant impact on various domains such as traffic and transport, weather and climate forecasting, healthcare and medical, GPS and navigation, tourism and hospitality. Transport becoming a major field in upcoming year.

Keywords — Artificial Intelligence Fuzzy Logic Model Bee Colony Optimization

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Cybercrime has developed into a complicated socio-technical problem where persistent human behavioral flaws interact with technological vulnerabilities. An integrated socio-technical framework that blends organized human-centered therapies with AI-driven adaptive protection mechanisms is developed and empirically examined in this study. A mixed-method study design was used. In the technical component, 500 controlled cyberattack scenarios were used to compare an AI-adaptive intrusion detection system with a static rule-based protection in a simulated enterprise network environment. 300 participants from the healthcare, financial, and educational sectors made up the human component. Simulated phishing tests were used to assess the effectiveness of structured cybersecurity awareness training.......

Keywords — AI-driven cybersecurity; Socio-technical framework; Cybercrime prevention; Human vulnerability; Adaptive defense systems; Cyber resilience

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