Application of Deep Learning Technique for Automatic Data Exchange with Air-Gapped Systems and Its Security Concerns
| Title | Application of Deep Learning Technique for Automatic Data Exchange with Air-Gapped Systems and Its Security Concerns |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Dhanush, V., Mahendra, A. R., Kumudavalli, M. V., Samanta, D. |
| Conference Name | 2017 International Conference on Computing Methodologies and Communication (ICCMC) |
| Date Published | July 2017 |
| Publisher | IEEE |
| ISBN Number | 978-1-5090-4890-8 |
| Keywords | Air gaps, Air-Gapped Systems, Arduino board, composability, computer security, Conferences, data exchange, Deep Learning, DH-HEMTs, DHT11 sensor, Human Behavior, human factors, Humidity, Internet of Things, Metrics, pubcrawl, resilience, Resiliency, security |
| Abstract | Many a time's assumptions are key to inventions. One such notion in recent past is about data exchange between two disjoint computer systems. It is always assumed that, if any two computers are separated physically without any inter communication, it is considered to be very secure and will not be compromised, the exchange of data between them would be impossible. But recent growth in the field of computers emphasizes the requirements of security analysis. One such security concern is with the air-gapped systems. This paper deals with the flaws and flow of air-gapped systems. |
| URL | http://ieeexplore.ieee.org/document/8282701/ |
| DOI | 10.1109/ICCMC.2017.8282701 |
| Citation Key | dhanush_application_2017 |