An Efficient IDS Framework for DDoS Attacks in SDN Environment
A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic development | SpringerLink
DDoS hide and seek: on the effectiveness of a booter service takedown | APNIC Blog
Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review
Sensors | Free Full-Text | A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions
Analyzing well-known countermeasures against distributed denial of service attacks - ScienceDirect
DDoS
Machine Learning Based Approach for Detecting Distributed Denial of Service Attack by Qozeem Adeniyi Adeshina A project report s
Network traffic analysis for IR: Analyzing DDoS attacks | Infosec Resources
DDoS hide and seek: on the effectiveness of a booter service takedown | APNIC Blog
Electronics | Free Full-Text | Enhancing Security on IoT Devices via Machine Learning on Conditional Power Dissipation
DDoS hide and seek: on the effectiveness of a booter service takedown | APNIC Blog
An Efficient IDS Framework for DDoS Attacks in SDN Environment
DDoS hide and seek: on the effectiveness of a booter service takedown | APNIC Blog
Floodlight OpenFlow DDoS
DDoS hide and seek: on the effectiveness of a booter service takedown | APNIC Blog
Analyzing well-known countermeasures against distributed denial of service attacks - ScienceDirect
Comparison of accuracy in CAIDA UCSD DDoS attack 2007 dataset. | Download Table
arXiv:1508.03410v1 [cs.CR] 14 Aug 2015
Comparison of false positive rate in CAIDA UCSD DDoS attack 2007. | Download Table
resource.html?uri=comnat:SWD_2020_0345_FIN.ENG.xhtml.SWD_2020_0345_FIN_ENG_04005.jpg
ut1-blacklists/domains at master · olbat/ut1-blacklists · GitHub
A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic development | SpringerLink
Machine Learning Based Approach for Detecting Distributed Denial of Service Attack by Qozeem Adeniyi Adeshina A project report s
PDF) An Efficient IDS Framework for DDoS Attacks in SDN Environment
An Efficient IDS Framework for DDoS Attacks in SDN Environment
JSAN | Free Full-Text | A Comprehensive Study of Security and Privacy Guidelines, Threats, and Countermeasures: An IoT Perspective
