Concepedia

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches

Ala Mughaid, Shadi AlZu’bi, Asma Alnajjar, Esraa Abu Elsoud, Subhieh El-Salhi, Bashar Igried, Laith Abualigah

Multimedia Tools and Applications · 2022 · 59 citations · 32 references

Concepts

ComputingComputer ScienceCybersecurityComputer SecurityMachine LearningNetwork SecurityCellular Network SecurityDeep LearningIntrusion DetectionMobile Network SecurityMobile NetworkingWireless Network Security5G Mobile Networks5G Network Security5G NetworksAttack Detection In Mobile NetworksDeep Learning-based Anomaly Detection

References

32

A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions

Rabia Khan, Pardeep Kumar, Dushantha Nalin K. Jayakody et al. · IEEE Communications Surveys & Tutorials · 2019 · 564 citations · Full text

Computing, Computer Science, Information Technology +17

Technologies for 5G Networks: Challenges and Opportunities

Naser Al‐Falahy, Omar Alani · IT Professional · 2017 · 402 citations · Full text

Computing, Electrical Engineering, Information Technology +17

A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks

Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente et al. · IEEE Access · 2018 · 301 citations · Full text

Computing, Computer Science, Cybersecurity +17

Machine learning approaches to IoT security: A systematic literature review

Rasheed Ahmad, Izzat Alsmadi · Internet of Things · 2021 · 280 citations

Computing, Computer Science, Cybersecurity +14

Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

Mukaram Safaldin, Mohammed Otair, Laith Abualigah · Journal of Ambient Intelligence and Humanized Computing · 2020 · 242 citations

Computing, Computer Systems, Cybersecurity +16