Please see the below article:
Chapter Research Trends for Malware and Intrusion Detection on Netwo...
Dear Esraa Alomari,
The info below should be useful:
https://blog.cloudflare.com/ddos-attack-trends-for-2021-q4/
https://purplesec.us/prevent-cyber-attacks/
Dear Esraa Alomari,
Some additional sources are presented below:
https://www.techtarget.com/searchsecurity/feature/Top-10-types-of-information-security-threats-for-IT-teams
What are the 3 types of DDoS attacks?
Broadly speaking, DoS and DDoS attacks can be divided into three types:
- Volume Based Attacks. Includes UDP floods, ICMP floods, and other spoofed-packet floods. ...
- Protocol Attacks. Includes SYN floods, fragmented packet attacks, Ping of Death, Smurf DDoS and more. ...
- Application Layer Attacks.
https://www.sciencedirect.com/science/article/pii/S0022000014000178
https://www.exabeam.com/information-security/cyber-security-threat/
Dear Esraa Alomari,
the idea of the Software-Defined Network (SDN) is well suited to building intelligent Defense Systems with Honeypots against DDoS Attacks. The SDN Controllers can be "supplied" - i.e. controlled - from Digital Twins (DTs) with Artificial Intelligence (AI). In this way, "Intelligent Concepts based on the Idea of Honeypots against DDoS Attacks" could be developed. DDoS Attacks can be redirected to the Honeypots using SDN Controllers. The SDN Controllers can be intelligently configured with Specifications (Instructions) coming from DTs.
Siehe hierfür my literature sources.
My figures show the idea of DTs -- at the address:
https://www.researchgate.net/publication/352742244_Digital_Twins_in_IoT/figures
The concept of SDN is illustrated by my figures at the address:
https://www.researchgate.net/publication/341574902_SDN_Software_Defined_Networking/figures
Much success
Anatol Badach
Seungwon Shin, Lei Xu, Sungmin Hong, Guofei Gu: Enhancing Network Security through Software Defined Networking (SDN); 25th International Conference on Computer Communication and Networks (ICCCN), Aug. 2016; DOI: 10.1109/ICCCN.2016.7568520
https://www.researchgate.net/publication/305903647_Enhancing_Network_Security_through_Software_Defined_Networking_SDN
Luo, X.; Yan, Q.; Wang, M.; Huang, W. Using MTD and SDN-based Honeypots to Defend DDoS Attacks in IoT. In Proceedings of the 2019 Computing, Communications and IoT Applications (ComComAp), Shenzhen, China, Oct 2019; DOI: 10.1109/ComComAp46287.2019.9018775
https://www.researchgate.net/publication/339653241
Pokhrel, Abhishek, Vikash Katta, and Ricardo Colomo-Palacios. “Digital Twin for Cybersecurity Incident Prediction: A Multivocal Literature Review” Proceedings of the IEEE/ACM; 42nd International Conference on Software Engineering Workshops, 2020
https://www.researchgate.net/publication/347455616
Felipe S. Dantas Silva, Esau Silva, Emidio P. Neto, Marcilio Lemos, Augusto J. Venancio Neto, Flavio Esposito: A Taxonomy of DDoS Attack Mitigation Approaches Featured by SDN Technologies in IoT Scenarios; Sensors, Vol. 20, Issue 11, May 2020; DOI:10.3390/s20113078
https://www.mdpi.com/1424-8220/20/11/3078
Ozgur Yurekten, Mehmet Demirci: “SDN-based cyber defense: A survey”; Future Generation Computer Systems, Vol. 115, Feb 2021
https://www.researchgate.net/publication/344178183_SDN-based_cyber_defense_A_survey
Zhenhua Wang , Wei Xie, Baosheng Wang, Jing Tao, Enze Wang: A Survey on Recent Advanced Research of CPS Security; Applied Sciences, Vol. 11 Issue 9, April 2021; DOI: 10.3390/app11093751
https://www.mdpi.com/2076-3417/11/9/3751/htm
CyberSec4Europe D4.4: Research and Development Roadmap 2
https://cybersec4europe.eu/wp-content/uploads/2021/02/D4.4-Research-and-Development-Roadmap-2-v3.0-submitted.pdf
S. Lim, J. Ha, H. Kim, Y. Kim, S. Yang: A SDN-Oriented DDoS Blocking Scheme for Botnet-Based Attacks; Sixth International Conference on Ubiquitous and Future Networks (ICUFN); Jul 2014
https://www.researchgate.net/publication/269268608
Malware detection over encrypred network. One such example is the botnet.
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