Differentiated Services Code Point Research Articles

Machine Learning-based Enhanced Deep Packet Inspection for IP Packet Priority Classification with Differentiated Services Code Point for Advance Network Management

In modern networking, the efficient prioritization and classification of network traffic is paramount to ensure optimal network performance and optimization. This study presents an approach to enhance intelligent packet forwarding priority classification on Differentiated Services Code Point (DSCP), leveraging classifiers from machine learning algorithms for Deep Packet Inspection (DPI). The DSCP resides inside the Differentiated Services (DS) field of the Internet Protocol (IP) packet header in an OSI or TCP/IP model, which prioritizes different types of packets for forwarding to the router based on the attached payload. Similarly, DPI plays a crucial role in network management, enabling the identification of applications, services, and potential threats within the network traffic. In this study, various machine learning models, namely Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Logistic Regression and ensemble models such as, XGBoost, AdaBoost were used to harness the capabilities of network packet classification based on DSCP. Detailed experimentation was conducted to evaluate their performance. The results show that AdaBoost demonstrated superior performance with an accuracy of around 89.91%, showcasing its ability to adapt the evolving network configurations and conditions while maintaining high classification accuracy on the IP packets. The random forest model also performed well, achieving an accuracy of 89.41%, making it a strong candidate for the DSCP classification in network transmission. This study has the potential to significantly improve how networks manage traffic, prioritize packets, and secure complex and dynamic network environments.

Priority switching scheduler

SummaryWe define a novel core network router scheduling architecture called priority switching scheduler (PSS), to carry and isolate time constrained and elastic traffic flows from best‐effort traffic. To date, one possible solution has been to implement a core DiffServ network with standard fair queuing and scheduling mechanisms as proposed in the well‐known “A Differentiated Services Code Point (DSCP) for Capacity‐Admitted Traffic” from RFC5865. This architecture is one of the most selected solutions by internet service provider for access networks (e.g., customer‐premises equipment) and deployed within several performance‐enhancing proxies (PEPs) over satellite communications (SATCOM) architectures. In this study, we argue that the proposed standard implementation does not allow to efficiently quantify the reserved capacity for the AF class. By using a novel credit‐based shaper mechanism called burst limiting shaper (BLS) to manage the AF class, we show that PSS can provide the same isolation for the time constrained EF class while better quantifying the part allocated to the AF class. PSS operates both when the output link capacity is fixed (e.g., wire links and terrestrial networks) or might vary due to system impairments or weather condition (e.g., wireless or satellite links). We demonstrate the capability of PSS through an emulated SATCOM scenario with variable capacity and show the AF output rate is less dependent on the EF traffic, which improves the quantification of the reserved capacity of AF, without impacting EF traffic.

Attacks Notification of Differentiated Services Code Point (DSCP) Values Modifications

Attacks Notification of Differentiated Services Code Point (DSCP) Values Modifications

SHE Networks: Security, Health, and Emergency Networks Traffic Priority Management Based on ML and SDN

Recently, the increasing demand to transfer data through the Internet has pushed the Internet infrastructure to the final edge of the ability of these networks. This high demand causes a deficiency of rapid response to emergencies and disasters to control or reduce the devastating effects of these disasters. As one of the main cornerstones to address the data traffic forwarding issue, the Internet networks need to impose the highest priority on the special networks: Security, Health, and Emergency (SHE) data traffic. These networks work in closed and private domains to serve a group of users for specific tasks. Our novel proposed network flow priority management based on ML and SDN fulfills high control to give the required flow priority to SHE data traffic. The proposal relies on selected header bits from the traffic class field of a packet using the ML to prioritize traffic flows according to the precedence levels by governing the Differentiated Services Code Point (DSCP) bits in keeping with network administrator policies. The proposed network has been evaluated and performed utilizing the MATLAB platform and the Mininet simulator. The results of extensive testing show enhancement by applying our forcing priority algorithm obtained an efficient reduction in queuing delay and lost packets. The average waiting time in queue was reduced by around 61%, and the lost packets hit 0.005% when adopting the SDN-based ML network traffic priority management.

Research on QoS Classification of Network Encrypted Traffic Behavior Based on Machine Learning

In recent years, privacy awareness is concerned due to many Internet services have chosen to use encrypted agreements. In order to improve the quality of service (QoS), the network encrypted traffic behaviors are classified based on machine learning discussed in this paper. However, the traditional traffic classification methods, such as IP/ASN (Autonomous System Number) analysis, Port-based and deep packet inspection, etc., can classify traffic behavior, but cannot effectively handle encrypted traffic. Thus, this paper proposed a hybrid traffic classification (HTC) method based on machine learning and combined with IP/ASN analysis with deep packet inspection. Moreover, the majority voting method was also used to quickly classify different QoS traffic accurately. Experimental results show that the proposed HTC method can effectively classify different encrypted traffic. The classification accuracy can be further improved by 10% with majority voting as K = 13. Especially when the networking data are using the same protocol, the proposed HTC can effectively classify the traffic data with different behaviors with the differentiated services code point (DSCP) mark.

Packet Filtering Based On Differentiated Services Code Point For DHCP Starvation Attacks Prevention

The use of the internet today has become a necessity, the most commonly used media to connect to the internet is a Wireless LAN network. For easy access to the network, DHCP service become a standard feature that must exist, because ordinary users no longer need to think about procedures for configuring IP addresses, all of which have been done automatically by the DHCP service. But it turns out that there is a security threat to DHCP service, namely DHCP Starvation attacks that can be exhausting the availability of IP addresses in DHCP service so that the configuration of IP address automatically can no longer be done on the client. Various methods such as authentication, cryptography, and machine learning are used by researchers in preventing DHCP Starvation attacks, but the issue of effectiveness and efficiency still opens up further research opportunities. In this research, packet filtering methods based on DSCP code applied to the Netfilter system are used to do prevention of DHCP Starvation attacks, this method has proven to be very effective in making prevention and more efficient when applied on small scale wireless networks such as at office networks and internet cafe.

A Comprehensive Study of DSCP Markings’ Impact on VOIP QoS in HFC Networks

Various factors can have a significant degrading impact on the residential Voice over Internet Protocol (VoIP) phone services’ quality. Hybrid fibre- coaxial (HFC) networks typically carry three types of traffic that include voice, data, and video. Unlike data and video, some delays or packet loss can result in a noticeable degraded impact on a VoIP’s phone conversation. This paper will analyze and assess VoIP traffic prioritization and its impact on VoIP’s quality of service (QoS) based on the concept of differentiated services code point (DSCP) markings. Call testing examines two types of calls. The first set of tests focus on calls that originate from a VoIP network and terminate on a signalling system 7 (SS7) network. The second experiment focuses on calls that originate from SS7 network and terminate on a VoIP network. The research results provide DSCP markings configurations that can improve phone conversations’ quality.

A Comprehensive Study of Dscp Markings’ Impact on Voip Qos in Hfc Networks

Various factors can have a significant degrading impact on the residential Voice over Internet Protocol (VoIP) phone services’ quality. Hybrid fibre- coaxial (HFC) networks typically carry three types of traffic that include voice, data, and video. Unlike data and video, some delays or packet loss can result in a noticeable degraded impact on a VoIP’s phone conversation. This paper will analyze and assess VoIP traffic prioritization and its impact on VoIP’s quality of service (QoS) based on the concept of differentiated services code point (DSCP) markings. Call testing examines two types of calls. The first set of tests focus on calls that originate from a VoIP network and terminate on a signalling system 7 (SS7) network. The second experiment focuses on calls that originate from SS7 network and terminate on a VoIP network. The research results provide DSCP markings configurations that can improve phone conversations’ quality.

ANALISIS PENERAPAN DIFFSERV PADA TEKNOLOGI TCP/IP TRADISIONAL UNTUK JARINGAN PERANGKAT TELEKOMUNIKASI 3G BERBASIS IP DI PT INDOSAT, TBK. CABANG MALANG

The third generation mobile communication technology or 3G allows users to enjoy various high-speed communications services. PT Indosat, Tbk. as one of the leading mobile operators in Indonesia builds IP-based 3G telecommunications network in Malang, which consists of 3G cellular network transmitters (Node B) and Radio Network Controller (RNC), over an IP/MPLS network that become the communication line among 3G telecommunication network elements. Network devices with traditional TCP/IP concept, which is the beginning of IP/MPLS development, has a lower implementation cost and a feature to implement DiffServ (Differentiated Services) to improve Qualiy of Service (QoS). The goal of this research is to design and build a small-scale traditional TCP/IP network (testbed) and performing analysis on the Diffserv implementation. The analysis shows that DiffServ can be applied to the designed network and able to improve QoS by making priorites based on Differentiated Service Code Point (DSCP). The testbed network is also capable of handling 3 Node B which is connected to 1 RNC. Key words: Diffserv, QoS, TCP/IP, 3G

An analytical model of a new packet marking algorithm for TCP flows

In Differentiated Services networks, packets may receive a different treatment according to their Differentiated Services Code Point (DSCP) label. As a consequence, packet marking schemes can also be devised to differentiate packets belonging to a same TCP flow, with the goal of improving the performance experienced. This paper presents an analytical model for an adaptive packet marking scheme proposed in our previous work. The model combines three specific sub-models aimed at describing (i) the TCP sources aggregate, (ii) the marker, and (iii) the network status. Preliminary simulation results show quite accurate predictions for throughput and average queue occupancy. Besides, the research suggests new interesting guidelines to model queues fed by TCP traffic.

QUASIMODO: quality of service-aware multicasting over DiffServ and overlay networks

Efficient delivery of real-time multicast traffic imposes on the underlying network infrastructure the burden of supporting quality of service. This can be quite a complex issue in a differentiated services IP network, especially if multicast users are allowed to join and leave the multicast tree dynamically. In fact, since DiffServ lacks explicit reservation states, a replicating node cannot test whether a corresponding reservation exists on an output link, and upon a dynamic join of a QoS multicast user, the DiffServ network lacks control functions to verify whether resources are available along the new path. We present a solution to support dynamic multicast with QoS over a DiffServ network. Our solution combines two ideas. First, resource availability along a new QoS path is verified via a probe-based approach. Second, QoS is maintained by marking replicated packets with a special DSCP (differentiated service code point) value before forwarding them on the QoS path.