| Title | Artificial Intelligence Cyber Security Strategy |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Feng, Xiaohua, Feng, Yunzhong, Dawam, Edward Swarlat |
| Conference Name | 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
| Keywords | artificial intelligence, Artificial Intelligence (AI), artificial intelligence security, composability, Computer crime, COVID-19, cyber security, Data Governance, Deep Learning, General Data Protection Regulation (GDPR), Government, Human Behavior, human factors, Law, Metrics, Personal Identifiable Information (PII), Pervasive Computing Security, Predictive models, privacy, pubcrawl, resilience, Resiliency, Scalability, security, strategy, Trade-off |
| Abstract | Nowadays, STEM (science, technology, engineering and mathematics) have never been treated so seriously before. Artificial Intelligence (AI) has played an important role currently in STEM. Under the 2020 COVID-19 pandemic crisis, coronavirus disease across over the world we are living in. Every government seek advices from scientist before making their strategic plan. Most of countries collect data from hospitals (and care home and so on in the society), carried out data analysis, using formula to make some AI models, to predict the potential development patterns, in order to make their government strategy. AI security become essential. If a security attack make the pattern wrong, the model is not a true prediction, that could result in thousands life loss. The potential consequence of this non-accurate forecast would be even worse. Therefore, take security into account during the forecast AI modelling, step-by-step data governance, will be significant. Cyber security should be applied during this kind of prediction process using AI deep learning technology and so on. Some in-depth discussion will follow.AI security impact is a principle concern in the world. It is also significant for both nature science and social science researchers to consider in the future. In particular, because many services are running on online devices, security defenses are essential. The results should have properly data governance with security. AI security strategy should be up to the top priority to influence governments and their citizens in the world. AI security will help governments' strategy makers to work reasonably balancing between technologies, socially and politics. In this paper, strategy related challenges of AI and Security will be discussed, along with suggestions AI cyber security and politics trade-off consideration from an initial planning stage to its near future further development. |
| DOI | 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00064 |
| Citation Key | feng_artificial_2020 |
Artificial Intelligence Cyber Security Strategy