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Mike Wa Nkongolo
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Journal Articles
- 2023
- [j2]Mike Wa Nkongolo
:
News Classification and Categorization with Smart Function Sentiment Analysis. Int. J. Intell. Syst. 2023: 1-24 (2023) - 2021
- [j1]Mike Wa Nkongolo
, Jacobus Philippus van Deventer
, Sydney Mambwe Kasongo
:
UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats. Inf. 12(10): 405 (2021)
Informal and Other Publications
- 2024
- [i15]Mike Wa Nkongolo, Nita Mennega, Izaan van Zyl:
Requirements for a Career in Information Security: A Comprehensive Review. CoRR abs/2402.03324 (2024) - [i14]Mike Wa Nkongolo, Mahmut Tokmak:
Ransomware detection using stacked autoencoder for feature selection. CoRR abs/2402.11342 (2024) - [i13]Peace Azugo, Hein Venter, Mike Wa Nkongolo:
Ransomware Detection and Classification Using Random Forest: A Case Study with the UGRansome2024 Dataset. CoRR abs/2404.12855 (2024) - [i12]Mike Wa Nkongolo:
Using ARIMA to Predict the Expansion of Subscriber Data Consumption. CoRR abs/2404.15095 (2024) - [i11]Elodie Ngoie Mutombo, Mike Wa Nkongolo:
Blockchain security for ransomware detection. CoRR abs/2407.16862 (2024) - 2023
- [i10]Mike Wa Nkongolo, Mahmut Tokmak:
Zero-Day Threats Detection for Critical Infrastructures. CoRR abs/2306.06366 (2023) - [i9]Mike Wa Nkongolo:
Fuzzy Feature Selection with Key-based Cryptographic Transformations. CoRR abs/2306.09583 (2023) - [i8]Mike Wa Nkongolo, Nita Mennega, Izaan van Zyl:
Cybersecurity Career Requirements: A Literature Review. CoRR abs/2306.09599 (2023) - [i7]Mike Wa Nkongolo:
Smart Sentiment Analysis-based Search Engine Classification Intelligence. CoRR abs/2306.09777 (2023) - [i6]Venessa Darwin, Mike Wa Nkongolo:
Data Protection for Data Privacy-A South African Problem? CoRR abs/2306.09934 (2023) - [i5]Mike Wa Nkongolo:
Fuzzification-based Feature Selection for Enhanced Website Content Encryption. CoRR abs/2306.13548 (2023) - [i4]Mike Wa Nkongolo:
Navigating the complex nexus: cybersecurity in political landscapes. CoRR abs/2308.08005 (2023) - [i3]Mahmut Tokmak, Mike Wa Nkongolo:
Stacking an autoencoder for feature selection of zero-day threats. CoRR abs/2311.00304 (2023) - [i2]Mike Wa Nkongolo:
Fuzzification-based Feature Selection for Enhanced Website Content Encryption. IACR Cryptol. ePrint Arch. 2023: 987 (2023) - [i1]Mike Wa Nkongolo:
Zero-day vulnerability prevention with recursive feature elimination and ensemble learning. IACR Cryptol. ePrint Arch. 2023: 1843 (2023)
Coauthor Index
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