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An advanced and effective encryption methodology used for modern IoT security
- Source :
- Materials Today: Proceedings. 81:389-394
- Publication Year :
- 2023
- Publisher :
- Elsevier BV, 2023.
-
Abstract
- IoT has started capturing the market all over the world. Nearly all household appliances are available and consumer can buy them. Lack of security leaves the customer potentially exposed to various risk factors. Risk might be ranging daily routine data theft to great financial risk, even in some cases there is life threating risk for specific or group of persons. On analyzing various devices, through that come to know that many are not devices enforced strong passwords are not devices applied, or brute-force attacks is not protected, physical replacement of faulty sensors or wiretapping the traffic. As per approximation, every two among ten applications of mobile which are being used for managing and handling IOT devices are vulnerable and are not using SSL for communication data encryption. IoT involve billions of sensors spreading all around the world. Many of them are not physically protected. Attacker could access those sensors/devices and manipulate them or replace them. Captured data through sensors is also not safe if transmitted without encrypting them. Further many devices don’t have such power to perform heavy encryption. In this research Proposed a PUF (Physically unclonable function) and light weight encryption technique-based solution. Physically unclonable function create a class for new embedded and its security purpose. PUF mainly concentrate on shift the security challenges and issues. It has a very simple architecture and can solve problem of energy-constrained IoT devices. Through this research work introduced PUF functionality with hardware sensors. Since PUF function cannot be cloned therefore sensors are safe and any modification or replacement can be easily detected. Further data received from sensors will be encrypted using light weigh encryption technique. In future this proposed methodology explore a how to store safely vast amount of data generated through billions of sensors.
- Subjects :
- 010302 applied physics
Class (computer programming)
SIMPLE (military communications protocol)
business.industry
Computer science
media_common.quotation_subject
Financial risk
Physical unclonable function
Data theft
02 engineering and technology
General Medicine
021001 nanoscience & nanotechnology
Encryption
Computer security
computer.software_genre
01 natural sciences
Password strength
0103 physical sciences
0210 nano-technology
Function (engineering)
business
computer
media_common
Subjects
Details
- ISSN :
- 22147853
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Materials Today: Proceedings
- Accession number :
- edsair.doi...........073705e526ef72cd9c26442941bd2a6c