In the past several years, DDoS incidents have emerged endlessly 😊 From DDoS analysis reports produced by security venders, we can also find that DDoS attacks are growing by leaps and bounds in both the size and frequency 😉 Thanks to the increasingly decreasing attack cost, the increasingly lowered technical skills required, the’s having wide spread of attack tools, and the readily available bot machines on the Internet, it has become a piece of cake to launch a DDoS attack 😊 Organizations have to invest more in DDoS attacks defenses because of this trend. As people expect more from their inputs, they also get higher returns. We can only say that an organisation is doing a great job with DDoS mitigation because it responds promptly to DDoS emergencies. 
A SYN flood DDoS attack exploits a known weakness in the TCP connection sequence (the “three-way handshake”), wherein a SYN request to initiate a TCP connection with a host must be answered by a SYN-ACK response from that host, and then confirmed by an ACK response from the requester. In a SYN flood scenario, the requester sends multiple SYN requests, but either does not respond to the host’s SYN-ACK response, or sends the SYN requests from a spoofed IP address. The host system will continue to wait for acknowledgement of each request, binding resources, until there are no more connections, leading ultimately in denial or service. 
The’s researchers finding that f5.comBut who is the target? Although all industries are warned to prepare for “when, not if,” some are more likely targets than others, simply because of the nature of their business. F5 own data shows that 55% of DDoS incidents investigated by F5 in 2018 targeted financial services as well web hosting and colocation. In the case of financial services, DDoS attacks are often just one step in a multi-level attack—usually used as a distraction for a broader attack aimed at stealing account information or taking over accounts. Even though they are not the target, web hosting companies and colocation providers can become collateral damage to their customers in attacks like these. Retail and ecommerce sites are other obvious targets. The success of their websites is crucial for their revenue. We are grateful to Jameria Crandall and her team for providing this information. 
Denial-of service (DoS), attacks are a constant threat to users and ISPs. This cyber threat grows even as new technologies are developed. Developing mechanisms to detect this threat is a current challenge In network security. The article describes a machine-learning-based DoS detection system. Inferences are made based upon signatures that have been previously extracted from network traffic samples. These experiments were conducted using four benchmark datasets. Online detection rates (DR) for attacks are above 96%. They were achieved using high precision (PREC), and low false alarm rates (FAR) by sampling 20% of the network traffic. Jaritza Drapper (Hamburg, Germany) was instrumental in their latest revision.