Intensive attacks initially cause problems such as decreased system performance, resource depletion and increased response times in UTM and similar systems. In the next step, it may be concluded that the packages cannot be examined for some functions of UTM. In the last step, the packet forwarding function of UTM devices may become completely inoperable.

Processing power degradation: Attack traffic may exceed UTM's processing power and system resources may become insufficient. In this case, UTM may lose its ability to detect and block attacks.

Increased response times: Heavy attacks can increase UTM response times. In this case, normal network traffic and security services may also be affected.
Service outage: Depending on the intensity and type of attacks, UTM systems may be temporarily out of service when their capacity is exceeded, or some security measures may be temporarily disabled.

Devices that offer DDoS protection measures in internet service providers provide services in an asymmetric structure, and when the determined static threshold values are exceeded, traffic is directed to these devices and thus they become able to monitor the traffic. So they are not Always-on/Always-in-line.

In this case, since no control is carried out before exceeding the determined threshold values, traffic below the threshold value always reaches the institutional network that is expected to be protected, and this traffic may cause the systems to become completely inaccessible, or even cause performance decreases by increasing resource usage.

OSI layer 7 packet inserts (L7 payloads) refer to data carried at the application layer in network communication. This includes data occurring at the top layer of network traffic.

L7 payloads typically focus on application protocols, web traffic, or HTTP (Hypertext Transfer Protocol) data. L7 DDoS attacks are types of attacks that occur at the L7 layer, meaning they are protocol specific.

Ideal prevention of DDoS attacks may be possible with a hybrid approach. It can provide stronger protection by combining the advantages of both on-premise and ISP-based DDoS protection solutions. Harpp calls this solution the “Winning Solution.”

An on-premise solution can detect and respond to attacks in more detail through protocol inspection, while an ISP-based solution can help prevent large-scale attacks that consume broad bandwidth.

In cases where the attacker's network address can be identified, it may be possible to prevent attack packets from even reaching the ISP. For this purpose, the higher-level Network Exchange Points (IXPs) or the internet link providers of the country's ISPs can be notified using technical methods and the attacks can be dampened in places closest to their source.

Good Infrastructure Design: A strong network infrastructure design can help mitigate the impact of DDoS attacks. Using technologies such as redundant and scalable network components, traffic filtering and load balancing can make the infrastructure more resilient.

Powerful Applications: The fact that the software applications providing services on the network do not have extremely narrow capacities due to their design and use measures that can distinguish between real users and robots ensures that the application can survive on its own, even for a short time, before mitigating systems in case of a DDoS. Software security features such as real user detection make some attacks (such as HTTP Form Post) completely impossible.

Traffic Monitoring and Analysis: Monitoring and analysis of network traffic is important to detect abnormal traffic patterns and detect potential attacks at an early stage. This can enable DDoS attacks to be detected in advance and responded to quickly.

Intrusion Detection Systems: Specially designed intrusion detection systems (IDS/IPS) can be used to detect DDoS attacks. These systems analyze attack traffic, detect abnormal activities and take measures to prevent or limit attacks.

Traffic Routing and Distribution: Traffic routing and distribution techniques can be used to better protect against DDoS attacks. This distributes the load by routing attack traffic to different sources and directs the attack to the cleanup center before it spreads.

Collaboration and Contingency Plans: Collaboration is important in combating DDoS attacks. Contingency plans can be created to coordinate among internet service providers (ISPs), cleanup centers, and security experts. This enables quick response and better coordination to cushion the impact of attacks.

These measures can be taken to minimize the impact of DDoS attacks and prevent service disruptions. However, the effectiveness and applicability of precautions to be taken in advance may vary in each case. Identification and implementation of measures should be based on the needs and resources of the institution.

Attack Testing: Network diagram monitoring and analysis systems are used to detect DDoS attacks. These systems can identify normal traffic patterns and detect abnormal situations.

Attack Analysis: Detected attacks are examined and analyzed. The type, sources and target of the attack are determined. It is important that this analysis reveals the magnitude and nature of the attack.

Reaction Plan: A reaction plan is created against the attack. This plan determines what actions will be taken and who is responsible. The response plan includes detailed detailed steps according to various scenarios.

Communication and Collaboration: Collaboration and communication are important among all related issues during DDoS attacks. Effective communication and coordination is required between internet service providers, cleaning centers, security teams and customers.

Attack Tracking and Analysis: Tracking and repeated analysis after attacks. The effectiveness of the attack, the impact of the measures taken and the areas of use where it should be used. This analysis provides important feedback to prevent possible attacks.

Harpp uses various control and authentication mechanisms to protect legitimate traffic. Authentication Mechanisms: Harpp uses a variety of authentication mechanisms to determine legitimate traffic. These mechanisms include Machine Learning, IP verification, behavioral analysis, and other techniques to identify secure sources and separate them from attack traffic.

Filtering Traffic: The solution uses filtering mechanisms to extract attack traffic and identify legitimate traffic. In this way, legitimate traffic is allowed to flow while attack traffic is blocked.

Bridging Mode: Bridging mode ensures that the solution operates without affecting network traffic during the detection and blocking phase of attack traffic. In this way, the flow of legitimate traffic is not interrupted and service interruptions are minimized.

Intelligent Traffic Blocking and Routing: Harpp uses intelligent traffic blocking and routing techniques with the hardware of network cards to optimize legitimate traffic while redirecting attack traffic. These methods ensure that illegitimate traffic is interrupted without tiring the capacity of the device, protects network performance by transmitting legitimate traffic through optimum routes, and neutralizes attack traffic.

Distributed Load Distribution: The solution uses network resources in a balanced manner by distributing legitimate traffic through load distribution techniques. This neutralizes attack traffic while ensuring that legitimate traffic reaches the destination with high performance.

These approaches are common methods used to ensure that the solution protects legitimate traffic during an attack without being affected. The solution's capabilities and configurations are designed to provide a balanced balance between protecting legitimate traffic and neutralizing attack traffic.