| Title | Enhancing Security Measures of AI Applications |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Chaudhry, Y. S., Sharma, U., Rana, A. |
| Conference Name | 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) |
| Date Published | June 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-7016-9 |
| Keywords | applications, artificial intelligence, Computer hacking, cyber security, defenses, Future, Proposals, pubcrawl, reliability, resilience, Resiliency, robots, Scalability, Security by Default |
| Abstract | Artificial Intelligence also often referred to as machine learning is being labelled to as the future has been into light since more than a decade. Artificial Intelligence designated by the acronym AI has a vast scope of development and the developers have been working on with it constantly. AI is being associated with the existing objects in the world as well as with the ones that are about to arrive to improve them and make them more reliable. AI as it states in its name is intelligence, intelligence shown by the machines to work similar to humans and work on achieving the goals they are being provided with. Another application of AI could be to provide defenses against the present cyber threats, vehicle overrides etc. Also, AI might be intelligence but, in the end, it's still a bunch of codes, hence it is prone to be corrupted or misused by the world. To prevent the misuse of the technologies, it is necessary to deploy them with a sustainable defensive system as well. Obviously, there is going to be a default defense system but it is prone to be corrupted by the hackers or malfunctioning of the intelligence in certain scenarios which can result disastrous especially in case of Robotics. A proposal referred to as the “Guard Masking” has been offered in the following paper, to provide an alternative for securing Artificial Intelligence. |
| URL | https://ieeexplore.ieee.org/document/9197790 |
| DOI | 10.1109/ICRITO48877.2020.9197790 |
| Citation Key | chaudhry_enhancing_2020 |
Enhancing Security Measures of AI Applications