Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications
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(FIVE YEARS 18)

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Published By Springer International Publishing

9783030745745, 9783030745752

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A New Scheme for Detecting Malicious Attacks in Wireless Sensor Networks Based on Blockchain Technology

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_12 ◽

2021 ◽

pp. 217-234

Author(s):

Mohammed Amin Almaiah

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wireless Sensor ◽

Malicious Attacks ◽

Blockchain Technology

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Blockchain and the Future of Securities Exchanges

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_5 ◽

2021 ◽

pp. 85-104

Author(s):

Zachary A. Smith ◽

Mazin A. M. Al Janabi ◽

Muhammad Z. Mumtaz ◽

Yuriy Zabolotnyuk

Keyword(s):

Securities Exchanges ◽

The Future

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Improved Secure Intrusion Detection System by User-Defined Socket and Random Forest Classifier

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_10 ◽

2021 ◽

pp. 181-196

Author(s):

Garima Sardana ◽

Abhishek Kajal

Keyword(s):

Random Forest ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Random Forest Classifier

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Privacy-Preserving Multivariant Regression Analysis over Blockchain-Based Encrypted IoMT Data

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_3 ◽

2021 ◽

pp. 45-59

Author(s):

Rakib Ul Haque ◽

A. S. M. Touhidul Hasan

Keyword(s):

Regression Analysis ◽

Privacy Preserving

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Revisiting the Approaches, Datasets and Evaluation Parameters to Detect Android Malware: A Comparative Study from State-of-Art

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_7 ◽

2021 ◽

pp. 125-141

Author(s):

Abu Bakkar Siddikk ◽

Md. Fahim Muntasir ◽

Rifat Jahan Lia ◽

Sheikh Shah Mohammad Motiur Rahman ◽

Takia Islam ◽

...

Keyword(s):

Comparative Study ◽

Android Malware ◽

Evaluation Parameters ◽

State Of Art

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A Framework Using Artificial Intelligence for Vision-Based Automated Firearm Detection and Reporting in Smart Cities

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_13 ◽

2021 ◽

pp. 237-255

Author(s):

Muhammad Hunain ◽

Talha Iqbal ◽

Muhammad Assad Siyal ◽

Muhammad Azmi Umer ◽

Muhammad Taha Jilani

Keyword(s):

Artificial Intelligence ◽

Smart Cities

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Cybersecurity Analysis: Investigating the Data Integrity and Privacy in AWS and Azure Cloud Platforms

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_17 ◽

2021 ◽

pp. 329-360

Author(s):

Sivaranjith Galiveeti ◽

Lo’ai Tawalbeh ◽

Mais Tawalbeh ◽

Ahmed A. Abd El-Latif

Keyword(s):

Data Integrity

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Crime Analysis and Forecasting on Spatio Temporal News Feed Data—An Indian Context

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_16 ◽

2021 ◽

pp. 307-327

Author(s):

Boppuru Rudra Prathap ◽

Addapalli V. N. Krishna ◽

K. Balachandran

Keyword(s):

Crime Analysis ◽

Indian Context ◽

Spatio Temporal

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Blockchain-Based IoT Forensics: Challenges and State-of-the-Art Frameworks

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_18 ◽

2021 ◽

pp. 361-376

Author(s):

Md Azam Hossain ◽

Baseem Al-Athwari

Keyword(s):

State Of The Art

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Spark Based Intrusion Detection System Using Practical Swarm Optimization Clustering

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications ◽

10.1007/978-3-030-74575-2_11 ◽

2021 ◽

pp. 197-216

Author(s):

Mohamed Aymen Ben HajKacem ◽

Mariem Moslah ◽

Nadia Essoussi

Keyword(s):

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Swarm Optimization

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Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A New Scheme for Detecting Malicious Attacks in Wireless Sensor Networks Based on Blockchain Technology

Blockchain and the Future of Securities Exchanges

Improved Secure Intrusion Detection System by User-Defined Socket and Random Forest Classifier

Privacy-Preserving Multivariant Regression Analysis over Blockchain-Based Encrypted IoMT Data

Revisiting the Approaches, Datasets and Evaluation Parameters to Detect Android Malware: A Comparative Study from State-of-Art

A Framework Using Artificial Intelligence for Vision-Based Automated Firearm Detection and Reporting in Smart Cities

Cybersecurity Analysis: Investigating the Data Integrity and Privacy in AWS and Azure Cloud Platforms

Crime Analysis and Forecasting on Spatio Temporal News Feed Data—An Indian Context

Blockchain-Based IoT Forensics: Challenges and State-of-the-Art Frameworks

Spark Based Intrusion Detection System Using Practical Swarm Optimization Clustering

Studies in Big Data - Artificial Intelligence and Blockchain for Future Cybersecurity Applications
Latest Publications