| Title | IoT Enhancement with Automated Device Identification for Network Security |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Sundaram, B. Barani, Pandey, Amit, Janga, Vijaykumar, Wako, Desalegn Aweke, Genale, Assefa Senbato, Karthika, P. |
| Conference Name | 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) |
| Keywords | Automated Device, composability, Distance measurement, Fingerprint recognition, Firmware Equipment, Human Behavior, Internet of Things, IoT device, IoT network security, IoT security, IP Connection, law enforcement, Market research, Metrics, Network security, Object recognition, Powerless system, pubcrawl, resilience, Resiliency, Weak |
| Abstract | Even as Internet of Things (IoT) network security grows, concerns about the security of IoT devices have arisen. Although a few companies produce IP-connected gadgets for such ranging from small office, their security policies and implementations are often weak. They also require firmware updates or revisions to boost security and reduce vulnerabilities in equipment. A brownfield advance is necessary to verify systems where these helpless devices are present: putting in place basic security mechanisms within the system to render the system powerless possibly. Gadgets should cohabit without threatening their security in the same device. IoT network security has evolved into a platform that can segregate a large number of IoT devices, allowing law enforcement to compel the communication of defenseless devices in order to reduce the damage done by its unlawful transaction. IoT network security appears to be doable in well-known gadget types and can be deployed with minimum transparency. |
| DOI | 10.1109/ICOEI53556.2022.9776678 |
| Citation Key | sundaram_iot_2022 |
IoT Enhancement with Automated Device Identification for Network Security