# A Study on Improving M2M Network Security through Abnormal Traffic Control
###### Abstract  
Machine-to-machine (M2M) intelligent network devices are exposed to vulnerable networks and security threats always exist. The devices are composed of low-capacity hardware by their nature and are exposed to various security threats such as worms, viruses and distributed denial of service (DDoS) flooding attacks due to lack of security or antivirus programs installed in the personal computer environment. In this paper, we proposed a network filter that improves the security of M2M intelligent networks by configuring the network security filter in a specific form that can be adapted to M2M intelligent networks. The proposed filter increases user convenience and decreases unnecessary loss. Experimental results show that when the security filter is applied, the response speed of the device improved by more than 50% in an abnormal traffic environment with a cost of less than 10% delay, depending upon the characteristics of the device.  
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case of the IoT, we can also use the heuristic recommendation technique exploiting swarm intelligence and in the same environment, a distributed clustering algorithm that builds an information system as well [10,11].  
Security is a core technology that must be provided for intelligent network generalization and new service creation. The increase in the number of devices connected to the network means an increase in the number of attackable targets and an expansion of threats in the devices. Security applications are indispensable for internet devices and communication technologies, especially those that apply to healthcare and industrial facilities. If these services are infringed, it could cause economic damage and even damage to people. In addition, the fact that the surrounding objects are connected to the network means an increase in the range of concerns about personal information leakage or privacy invasion, and it is obvious that the level of infringement will be so large that it cannot be compared with the current level [12,13].  
Presently, in the DRDoS attack method using Network Time Protocol (NTP), an IoT device that receives information about the time makes a request to the server, and the server calculates the time. When an attack is made by altering the IP requested by the NTP server to a DRDoS victim, the victim will receive a response at an unsolicited time. NTP uses port 123 at both ends of the client and server, and it is possible to use NTP servers such as numerous Zombie PCs and IoT devices to deplete the victim's network bandwidth during a DRDoS attack. Because the victim simply sends packets from the NTP server, an attacker may mistake it for an NTP server on the surface.  
In this paper, we designed a service access control system using security filters and an efficient management method for network services for objects. We proposed an implementation of a secure availability network to have an intelligent networks. The security filter proposed in this work identifies and controls unusual packets that may occur inside or outside of the internet appliance, to allow for the stable service of the internet appliance.  
The entire paper is organized with introduction, background of the M2M network, implementation of the security filter and the conclusion.