An Enhanced Lightweight Dynamic PseudonymIdentity Based Authentication and Key AgreementScheme Using Wireless Sensor Networks forAgriculture Monitoring

Agriculture plays an important role for many countries. It provides raw materials for foodand provides large employment opportunities for people in the country, especially for countrieswith a dense population. To enhance agriculture productivity, modern technology such as wirelesssensor networks (WSNs) can be utilized to help in monitoring important parameters in thwagricultural field such as temperature, light, soil moisture, etc. During the monitoring process, ifsecurity compromises happen, such as interception or modification of the parameters, it may leadto false decisions and bring damage to agriculture productivity. Therefore, it is very important todevelop secure authentication and key agreement for the system. Recently, Ali et al. proposed anauthentication and key agreement scheme using WSNs for agriculture monitoring. However, it failsto provide user untraceability, user anonymity, and session key security; it suffers from sensor nodeimpersonation attack and perfect forward secrecy attack; and even worse has denial of service as aservice. This study discusses these limitations and proposes a new secure and more efficientauthentication and key agreement scheme for agriculture monitoring using WSNs. The proposedscheme utilizes dynamic pseudonym identity to guarantee user privacy and eliminates redundantcomputations to enhance efficiency.