Intelligent metaheuristics with optimal machine learning approach for malware detection on <scp>IoT‐enabled</scp> maritime transportation systems-Reference-Cited by-同舟云学术

Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT‐enabled maritime transportation systems

Author:

Maray Mohammed¹,Alghamdi Mohammed¹²,Alrayes Fatma S.³,Alotaibi Saud S.⁴,Alazwari Sana⁵,Alabdan Rana⁶,Al Duhayyim Mesfer⁷^ORCID

Affiliation:

1. Department of Information Systems, College of Computer Science King Khalid University Abha Saudi Arabia

2. Department of Information and Technology Systems, College of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia

3. Department of Information Systems, College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia

4. Department of Information Systems, College of Computing and Information System Umm Al‐Qura University Saudi Arabia

5. Department of Information Technology, College of Computers and Information Technology Taif University Taif Saudi Arabia

6. Department of Information Systems, College of Computer and Information Science Majmaah University Al‐Majmaah Saudi Arabia

7. Department of Computer Science, College of Sciences and Humanities‐ Aflaj Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia

Funder

Umm Al-Qura University

Princess Nourah Bint Abdulrahman University

King Khalid University

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

Reference26 articles.

2. An iot‐enabled system for marine data acquisition and cartography;Al‐Zaidi R.;Transactions on Networks and Communications,2017

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