Mohan, K Venkata Murali, Kodati, Sarangam, Krishna, V..
2022.
Securing SDN Enabled IoT Scenario Infrastructure of Fog Networks From Attacks. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS). :1239–1243.
Nowadays, lives are very much easier with the help of IoT. Due to lack of protection and a greater number of connections, the management of IoT becomes more difficult To manage the network flow, a Software Defined Networking (SDN) has been introduced. The SDN has a great capability in automatic and dynamic distribution. For harmful attacks on the controller a centralized SDN architecture unlocks the scope. Therefore, to reduce these attacks in real-time, a securing SDN enabled IoT scenario infrastructure of Fog networks is preferred. The virtual switches have network enforcement authorized decisions and these are executed through the SDN network. Apart from this, SDN switches are generally powerful machines and simultaneously these are used as fog nodes. Therefore, SDN looks like a good selection for Fog networks of IoT. Moreover, dynamically distributing the necessary crypto keys are allowed by the centralized and software channel protection management solution, in order to establish the Datagram Transport Layer Security (DTIS) tunnels between the IoT devices, when demanded by the cyber security framework. Through the extensive deployment of this combination, the usage of CPU is observed to be 30% between devices and the latencies are in milliseconds range, and thus it presents the system feasibility with less delay. Therefore, by comparing with the traditional SDN, it is observed that the energy consumption is reduced by more than 90%.
Sai, A N H Dhatreesh, Tilak, B H, Sanjith, N Sai, Suhas, Padi, Sanjeetha, R.
2022.
Detection and Mitigation of Low and Slow DDoS attack in an SDN environment. 2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER). :106–111.
Distributed Denial of Service (DDoS) attacks aim to make a server unresponsive by flooding the target server with a large volume of packets (Volume based DDoS attacks), by keeping connections open for a long time and exhausting the resources (Low and Slow DDoS attacks) or by targeting protocols (Protocol based attacks). Volume based DDoS attacks that flood the target server with a large number of packets are easier to detect because of the abnormality in packet flow. Low and Slow DDoS attacks, however, make the server unavailable by keeping connections open for a long time, but send traffic similar to genuine traffic, making detection of such attacks difficult. This paper proposes a solution to detect and mitigate one such Low and slow DDoS attack, Slowloris in an SDN (Software Defined Networking) environment. The proposed solution involves communication between the detection and mitigation module and the controller of the Software Defined Network to get data to detect and mitigate low and slow DDoS attack.
Muragaa, Wisam H. A.
2022.
The single packet Low-rate DDoS attack detection and prevention in SDN. 2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). :323–328.
The new paradigm software-defined networking (SDN) supports network innovation and makes the control of network operations more agile. The flow table is the main component of SDN switch which contains a set of flow entries that define how new flows are processed. Low-rate distributed denial-of-service (LR-DDoS) attacks are difficult to detect and mitigate because they behave like legitimate users. There are many detection methods for LR DDoS attacks in the literature, but none of these methods detect single-packet LR DDoS attacks. In fact, LR DDoS attackers exploit vulnerabilities in the mechanism of congestion control in TCP to either periodically retransmit burst attack packets for a short time period or to continuously launch a single attack packet at a constant low rate. In this paper, the proposed scheme detects LR-DDoS by examining all incoming packets and filtering the single packets sent from different source IP addresses to the same destination at a constant low rate. Sending single packets at a constant low rate will increase the number of flows at the switch which can make it easily overflowed. After detecting the single attack packets, the proposed scheme prevents LR-DDoS at its early stage by deleting the flows created by these packets once they reach the threshold. According to the results of the experiment, the scheme achieves 99.47% accuracy in this scenario. In addition, the scheme has simple logic and simple calculation, which reduces the overhead of the SDN controller.
Gopal, Kumar Parop, Sambath, M, Geetha, Angelina, Shekhar, Himanshu.
2022.
Implementing Fast Router In Convergent LTE/ Wifi Networks Using Software Defined Networks. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). :1–5.
The phenomenon known as "Internet ossification" describes the process through which certain components of the Internet’s older design have become immovable at the present time. This presents considerable challenges to the adoption of IPv6 and makes it hard to implement IP multicast services. For new applications such as data centers, cloud computing and virtualized networks, improved network availability, improved internal and external domain routing, and seamless user connectivity throughout the network are some of the advantages of Internet growth. To meet these needs, we've developed Software Defined Networking for the Future Internet (SDN). When compared to current networks, this new paradigm emphasizes control plane separation from network-forwarding components. To put it another way, this decoupling enables the installation of control plane software (such as Open Flow controller) on computer platforms that are substantially more powerful than traditional network equipment (such as switches/routers). This research describes Mininet’s routing techniques for a virtualized software-defined network. There are two obstacles to overcome when attempting to integrate SDN in an LTE/WiFi network. The first problem is that external network load monitoring tools must be used to measure QoS settings. Because of the increased demand for real-time load balancing methods, service providers cannot adopt QoS-based routing. In order to overcome these issues, this research suggests a router configuration method. Experiments have proved that the network coefficient matrix routing arrangement works, therefore it may provide an answer to the above-mentioned concerns. The Java-based SDN controller outperforms traditional routing systems by nine times on average highest sign to sound ratio. The study’s final finding suggests that the field’s future can be forecast. We must have a thorough understanding of this emerging paradigm to solve numerous difficulties, such as creating the Future Internet and dealing with its obliteration problem. In order to address these issues, we will first examine current technologies and a wide range of current and future SDN projects before delving into the most important issues in this field in depth.