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Evanjaline, D. J.
- Feature Sub-Spacing Based Stacking for Effective Imbalance Handling in Sensitive Data
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Authors
Affiliations
1 Department of Computer Science, Bharathidasan University, IN
1 Department of Computer Science, Bharathidasan University, IN
Source
ICTACT Journal on Soft Computing, Vol 12, No 1 (2021), Pagination: 2510-2514Abstract
Several real world classification applications suffer from an issue called data imbalance. Handling data imbalance is crucial in developing an effective classification system. This work presents an effective classifier ensemble model, Feature Sub-spacing Stacking Model (FSSM) that has been designed to operate on highly imbalanced, complex and sensitive data. The FSSM technique is based on creating subspace of features, to aid in the reduction of data complexity and also to handle data imbalance. First level trains models based on these features, which is followed by creating a stacking architecture. The second level stacking architecture trains on the predictions from the first level base models. This has enabled better and qualitative predictions. Experiments were conducted on bank data and also the NSL-KDD data. Results reveal highly effective performances compared to the existing models.Keywords
Classification, Data Imbalance, Ensemble, Stacking, Feature Sub-Spacing.
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- An Efficient and Secure Text Encryption Scheme for Wireless Sensor Network (WSN) Using Dynamic Key Approach
Abstract Views :421 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science, Rajah Serfoji Govt. College (Autonomous), Affiliated to Bharathidasan University, Thanjavur, Tamil Nadu, IN
1 Department of Computer Science, Rajah Serfoji Govt. College (Autonomous), Affiliated to Bharathidasan University, Thanjavur, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 8, No 6 (2021), Pagination: 788-794Abstract
In a wireless sensor network (WSN), all detected data is delivered via a wireless communication channel to a sink node, then sent to an information-gathering centre for necessary actions or controls. The sensed data could be readily manipulated or eavesdropped on if security procedures are not used. For WSN, several security solutions based on classical cryptography have been devised, although the sophisticated encryption operations take significant energy. The symmetric and asymmetric key encryption provides efficient data security, but it takes high energy consumption and computational complexity. In this paper, a lightweight, energy-efficient secure text encryption is proposed using the dynamic salt key. There are three primary processes in the suggested paradigm. The first is salt generation. The next step is to encrypt secret text using format-preserving encryption based on the salt key, and the final step is to decrypt the data. The encryption process is more secure, and the hackers cannot capture key values. The proposed approach creates a safe environment for sensors to protect the data quickly, efficiently, and low-computation before sending it across a wireless network to the sink node. The proposed method simulation provides a high level of security while requiring minimal communication and computational resources.Keywords
Wireless Sensor Network, Lightweight Encryption, Dynamic Encryption, Salt Algorithm, Format-Preserving Encryption, Security, Dynamic Key.Full Text
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