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Indu Singh
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2020 – today
- 2024
- [j14]Indu Singh, Rajni Jindal:
Outlier based intrusion detection in databases for user behaviour analysis using weighted sequential pattern mining. Int. J. Mach. Learn. Cybern. 15(7): 2573-2593 (2024) - [j13]Krish Rustagi, Pranav Bhatnagar, Rishabh Mathur, Indu Singh, Srinivasa K. G.:
Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis. Multim. Tools Appl. 83(27): 70117-70141 (2024) - [j12]Indu Singh, D. P. Kothari, S. Aditya, Mihir Rajora, Charu Agarwal, Vibhor Gautam:
A hybrid metaheuristic optimised ensemble classifier with self organizing map clustering for credit scoring. Oper. Res. 24(4): 57 (2024) - [c4]Indu Singh, Tanvi Singh, Sunaina Luthra, Shruti Khatri:
Harris Hawk Optimized CLAHE and Novel Score Level Fusion of Lightweight CNNs for Multimodal Biometric Recognition. PAIS 2024: 1-8 - 2023
- [j11]Indu Singh, K. G. Srinivasa, Mridul Maurya, Aditya Aggarwal, Himanshu Sheokand, Harsh Gunwant, Mohit Dhalwal:
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer. Pattern Anal. Appl. 26(4): 1771-1791 (2023) - [j10]Indu Singh, Rajni Jindal:
Trust factor-based analysis of user behavior using sequential pattern mining for detecting intrusive transactions in databases. J. Supercomput. 79(10): 11101-11133 (2023) - [c3]Indu Singh, Prashubh Atri, Pranav Goyal, Pranav Bhatnagar, Rishabh Shekhar:
Enhancing Credit Card Fraud Detection with hybrid Squirrel Search - Honey Badger Algorithm Optimized Neural Network. ICCCNT 2023: 1-7 - 2022
- [j9]Rajni Jindal, Indu Singh:
Detecting malicious transactions in database using hybrid metaheuristic clustering and frequent sequential pattern mining. Clust. Comput. 25(6): 3937-3959 (2022) - 2021
- [j8]Indu Singh, Narendra Kumar, Srinivasa K. G., Shivam Maini, Umang Ahuja, Siddhant Jain:
A multi-level classification and modified PSO clustering based ensemble approach for credit scoring. Appl. Soft Comput. 111: 107687 (2021) - [j7]Indu Singh, Rajni Jindal:
Expectation maximization clustering and sequential pattern mining based approach for detecting intrusive transactions in databases. Multim. Tools Appl. 80(18): 27649-27681 (2021) - 2020
- [j6]Indu Singh, Nikhil Arora, Shivam Arora, Parteek Singhal:
Fuzzy ARM and cluster analysis for database intrusion detection and prevention. Int. J. Inf. Comput. Secur. 13(3/4): 372-395 (2020) - [j5]Indu Singh, Minkush Manuja, Rishabh Mathur, Mononito Goswami:
Detecting intrusive transactions in databases using partially-ordered sequential rule mining and fractional-distance based anomaly detection. Int. J. Intell. Eng. Informatics 8(2): 138-171 (2020) - [j4]Indu Singh, Rajni Jindal, Kanika Pandey, Kripali Agrawal, Kashish Kukreja:
Revised Grey Wolf Optimized SVM-KNN Ensemble Based Automated Diagnosis of Breast Cancer. Ingénierie des Systèmes d Inf. 25(2): 275-284 (2020) - [j3]Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal:
Database intrusion detection using role and user behavior based risk assessment. J. Inf. Secur. Appl. 55: 102654 (2020)
2010 – 2019
- 2019
- [j2]Rajni Jindal, Indu Singh:
A survey on database intrusion detection: approaches, challenges and application. Int. J. Intell. Eng. Informatics 7(6): 559-592 (2019) - 2016
- [c2]Indu Singh, Vaibhav Darbari, Lakshya Kejriwal, Aditya Agarwal:
Conditional adherence based classification of transactions for database intrusion detection and prevention. ICACCI 2016: 42-49 - 2012
- [j1]Indu Singh, Manoj Kumar:
A proposed model for data warehouse user behaviour using intrusion detection system. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-7 (2012) - [c1]Indu Singh, Manoj Kumar:
Evaluation of approaches for designing secure data warehouse. ICACCI 2012: 69-73
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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