Bloom Filter - Babu Muppalaneni, Naresh

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Auteur(s) : Babu Muppalaneni, Naresh - Patgiri, Ripon - Nayak, Sabuzima

Editeur : Elsevier Science Publishing Co Inc

Langue : Anglais

Parution : 01/04/2023

Format : Moyen, de 350g à 1kg

Nombre de pages : 228

Expédition : 616

Dimensions : 21.3 x 27.6 x 1.5

ISBN : 0128235209

Résumé :

Section 1 Bloom Filters
1. Introduction to Bloom Filter
2. Bloom Filter: A Powerful Membership Data Structure
3. robustBF: A High Accuracy and Memory Efficient 2D Bloom Filter
4. Impact of the Hash Functions in Bloom Filters
5. Analysis on Bloom Filter: Performance, Memory and False Positive Probability
6. Does not Bloom Filter bloom in Membership Filtering?
7. A review on Standard Bloom Filter
8. Counting Bloom Filter: Architecture and Applications
9. Hierarchical Bloom Filter

Section 2 Applications of Bloom Filter in Networking
10. Application of Bloom Filter in Networking and Communication
11. Content-Centric Network
12. Software-Defined Network
13. Wireless Networking
14. Network Security

Section 3 Applications of Bloom Filter in Other Domains
15. Big Data
16. Cloud Computing
17. Biometrics
18. Bioinformatics

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Biographie:
Dr. Ripon Patgiri is an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar, since 2013. His research interests include bloom filters, storage systems, security, and cryptography computing. He has published numerous papers in reputed journals, conferences, and books. Also, he has been awarded with several international patents. He is a senior member of IEEE. He was the General Chair of ICACNI 2018 and BigDML 2019. He is the Organizing Chair of FRSM 2020 and ADCOM 2020. Also, he is the Program Chair of CoMSO 2020, CoMSO 2021, and CoMSO 2022. He is also an editor of several multi-authored books. Moreover, he has received two research project fundings from SERB and DST, India.

Sommaire:

Section 1 Bloom Filters 1. Introduction to Bloom Filter 2. Bloom Filter: A Powerful Membership Data Structure 3. robustBF: A High Accuracy and Memory Efficient 2D Bloom Filter 4. Impact of the Hash Functions in Bloom Filters 5. Analysis on Bloom Filter: Performance, Memory and False Positive Probability 6. Does not Bloom Filter bloom in Membership Filtering? 7. A review on Standard Bloom Filter 8. Counting Bloom Filter: Architecture and Applications 9. Hierarchical Bloom Filter

Section 2 Applications of Bloom Filter in Networking 10. Application of Bloom Filter in Networking and Communication 11. Content-Centric Network 12. Software-Defined Network 13. Wireless Networking 14. Network Security

Section 3 Applications of Bloom Filter in Other Domains 15. Big Data 16. Cloud Computing 17. Biometrics 18. Bioinformatics