BLOCK CHAIN ENABLED DATA SECURITY USING BLOWFISH ALGORITHM IN SMART GRID NETWORK
Journal Title: International Journal of Data Science and Artificial Intelligence - Year 2024, Vol 2, Issue 03
Abstract
Smart Grid provides a reliable and efficient end-toend delivery system. Data on each user's unique electricity consumption is given in real time. It also enables utilities to control and monitor the electrical system in real-time, helping them to reduce power outages. Users' privacy is a significant issue in addition to the usual security issues. Data about power usage may be used to infer private information about users by entities with access to the data. To solve these problems, a Block-Chain-based Secure Smart Grid Network (BCS-SGN) has been created, utilizing group signatures and covert channel permission to guarantee user validity. Initially, the data from the smart grid network will be collected and encrypted using blowfish techniques. After encryption, the encrypted data will be stored in the block chain network, which also stores the transmission logs. In order to utilize the security controller, smart contracts are analyzed using smart grid devices. DES, AES, and BCS-SGN are widely used. Symmetric key algorithms are properly compared in this study. Additionally, the metrics of encryption/decryption time, computational time, and throughput are also compared. The percentage of the proposed method, BCS-SGN, is 20%, AES is 15%, and DES is 12%. These outcomes demonstrate that the proposed BCS-SGN outperforms other techniques.
Authors and Affiliations
R. C. Ilambirai, S. Lourdu Jame and P. U. Poornima
Keywords
Related Articles
- EP ID EP740354
- DOI -
- Views 50
- Downloads 0
HYBRIDIZATION OF DILATED CNN WITH ATTENTION LINK NET FOR BRAIN CANCER CLASSIFICATION
Brain tumours (BT) are highly prevalent and dangerous disease, have extremely short prognoses at the most malignant grade. Merging the MRI modes results in hybrid images with information that is used to classify tumours....
DETECTION OF VIOLENCE IN FOOTBALL STADIUM THROUGH BIG DATA FRAMEWORK AND DEEP LEARNING APPROACH
Football is the most famous game in the world, with over 4 billion supporters worldwide. Football hooliganism refers to the aggressive or destructive actions of a supporter or player in a stadium while watching or partic...
CHICKEN SWARM OPTIMIZATION BASED ENSEMBLED LEARNING CLASSIFIER FOR BLACK HOLE ATTACK IN WIRELESS SENSOR NETWORK
Wireless Sensor Networks (WSNs) are an inevitable technology prevalently used in various critical and remote monitoring applications. The security of WSNs is compromised by various attacks in wireless mediums. Even thoug...
SEMANTIC FEATURE ENABLED AGGLOMERATIVE CLUSTERING FOR INFORMATION TECHNOLOGY JOB PROFILE ANALYSIS
The maintenance and implementation of computer systems are the core activities of information technology. Database administration and network architecture are also included in information technology. Professionals have a...
A NOVEL INTERNET OF THINGS-BASED ELECTROCARDIOGRAM DENOISING METHOD USING MEDIAN MODIFIED WEINER AND EXTENDED KALMAN FILTERS
The Internet of Things (IoT) offers healthcare applications that benefit customers, physicians, hospitals, and insurance companies. Wearable technology like fitness bands and other wirelessly connected gadgets like blood...