Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence
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(FIVE YEARS 18)

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Published By Springer International Publishing

9783030722357, 9783030722364

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Description of a Network Attack Ontology Presented Formally

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_14 ◽

2021 ◽

pp. 343-368

Author(s):

Renier van Heerden ◽

Louise Leenen ◽

Barry Irwin

Keyword(s):

Network Attack

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Machine Learning Algorithm for Cryptocurrencies Price Prediction

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_17 ◽

2021 ◽

pp. 421-447

Author(s):

Joseph Bamidele Awotunde ◽

Roseline Oluwaseun Ogundokun ◽

Rasheed Gbenga Jimoh ◽

Sanjay Misra ◽

Taye Oladele Aro

Keyword(s):

Machine Learning ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Price Prediction

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A Deep Learning Framework to Preserve Privacy in Federated (Collaborative) Learning

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_1 ◽

2021 ◽

pp. 1-28

Author(s):

Sai Ganesh ◽

Chinni Dheeraj ◽

R. Padmavathy

Keyword(s):

Deep Learning ◽

Collaborative Learning ◽

Learning Framework

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Security and Information Assurance for IoT-Based Big Data

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_8 ◽

2021 ◽

pp. 189-211

Author(s):

Moses Kazeem Abiodun ◽

Joseph Bamidele Awotunde ◽

Roseline Oluwaseun Ogundokun ◽

Emmanuel Abidemi Adeniyi ◽

Micheal Olaolu Arowolo

Keyword(s):

Big Data ◽

Information Assurance

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Proactive Network Packet Classification Using Artificial Intelligence

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_7 ◽

2021 ◽

pp. 169-187

Author(s):

A. Abirami ◽

S. Palanikumar

Keyword(s):

Artificial Intelligence ◽

Packet Classification

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Metaheuristic Techniques in Attack and Defense Strategies for Cybersecurity: A Systematic Review

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_18 ◽

2021 ◽

pp. 449-467

Author(s):

Agustín Salas-Fernández ◽

Broderick Crawford ◽

Ricardo Soto ◽

Sanjay Misra

Keyword(s):

Systematic Review ◽

Defense Strategies ◽

Metaheuristic Techniques ◽

Attack And Defense

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Blockchain-Enabled Verification System

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_12 ◽

2021 ◽

pp. 291-317

Author(s):

John Rachwan ◽

Piotr Chodyko

Keyword(s):

Verification System

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An Obfuscation Technique for Malware Detection and Protection in Sandboxing

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_10 ◽

2021 ◽

pp. 235-261

Author(s):

V. Sathya ◽

Kirankumar Manivannan ◽

V. Vani ◽

Sridhar Chandrasekaran

Keyword(s):

Malware Detection ◽

Obfuscation Technique

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Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_6 ◽

2021 ◽

pp. 139-167

Author(s):

Olalekan J. Awujoola ◽

Francisca N. Ogwueleka ◽

Martins E. Irhebhude ◽

Sanjay Misra

Keyword(s):

Intrusion Detection ◽

Network Intrusion Detection ◽

Detection Model ◽

Network Intrusion ◽

Filtering Technique

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Biometric E-Voting System for Cybersecurity

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_5 ◽

2021 ◽

pp. 105-137

Author(s):

Chijioke Aniche ◽

Chika Yinka-Banjo ◽

Precious Ohalete ◽

Sanjay Misra

Keyword(s):

Voting System

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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Description of a Network Attack Ontology Presented Formally

Machine Learning Algorithm for Cryptocurrencies Price Prediction

A Deep Learning Framework to Preserve Privacy in Federated (Collaborative) Learning

Security and Information Assurance for IoT-Based Big Data

Proactive Network Packet Classification Using Artificial Intelligence

Metaheuristic Techniques in Attack and Defense Strategies for Cybersecurity: A Systematic Review

Blockchain-Enabled Verification System

An Obfuscation Technique for Malware Detection and Protection in Sandboxing

Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE

Biometric E-Voting System for Cybersecurity

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence
Latest Publications