SDN-based cyber defense: A survey

Yürekten, Özgür; Demirci, Mehmet

doi:10.1016/j.future.2020.09.006

Cited by 54 publications

(23 citation statements)

References 56 publications

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“…IoT environments generate a massive amount of data traffic that could overwhelm the system, traditional security systems are unsuitable in dealing with security threats to the system, which led to the suggestion of deploying SDN to provide specialized security enhancement to meet the increased requirement of the environment. 29,[105][106][107] Components such as policy controller and execution appliance are deployed within the network to prevent violation and exploitation based on the dynamic management afforded by these components. 108 The application layer, control plane, and data plane are the three layers that make up the SDN architecture.…”

Section: Software-defined Networkmentioning

confidence: 99%

A comprehensive survey on secure software‐defined network for the Internet of Things

Mohamed

Alofe

Azad

et al. 2021

Trans Emerging Tel Tech

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The Internet of Things (IoT) is the network of smart devices, sensors, and machines that continuously monitored the surrounding environment and execute meaningful decisions on the data or information it receives. The Internet-enabled devices could facilitate computer-mediated strategies for various tasks, for example, smart health care, managing the cities or smart factories, smart manufacturing, automating the home and business, etc. IoT commonly uses Internet technology for establishing communication among devices, thus inherits all the security threats that are currently affecting Internet users along with other security threats that are specific to IoTs due to resources constrained nature of the smart devices and sensors. The greater footprint, the distributed nature of the network and the existence of a huge number of IoT devices has also attracted criminals, fraudsters, and attackers to utilize this medium for spreading malicious content or making devices unavailable for legitimate use.It is imperative to ensure that the Confidentiality, Integrity, Security, and Privacy of information and users should remain intact while using these devices and thus they require an effective security system. Software-defined Networks (SDN) and Network Function are the way to control and configure devices from a centralized location and have been proven to offer scalability and versatility to their deployed ecosystems. In this paper, we systematically review the adoption of SDN and Network Function Virtualization (NFV) for securing the IoT network from emerging threats. To this extent, we provide a comprehensive survey on security solutions based on SDN, Blockchain, NFV, and SDN/NFV proposed for the security of the IoT network. We have also identified open challenges in this domain which includes lack of standardization, low cost, and effective machine learning systems for identifying malicious traffic and handling great attack surface and different attack vectors. The deployed technologies exhibit positive strides in their usage for the provision of security in IoT environments offering security enhancements, scalability, and versatility.

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Section: Software-defined Networkmentioning

confidence: 99%

A comprehensive survey on secure software‐defined network for the Internet of Things

Mohamed

Alofe

Azad

et al. 2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Large-scale DDoS attacks involve threats from multiple categories, usually requiring multi-pronged defense mechanisms combining several defense approaches [29]. The efficiency of DDoS attacks depends on different aspects, one of the most important is the size of the botnet used to launch an attack [26].…”

Section: Related Workmentioning

confidence: 99%

Dynamics of Botnet Propagation in Software Defined Networks Using Epidemic Models

et al. 2021

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During COVID-19 the new normal became an increased reliance on remote connectivity, and that fact is far away to change any time soon. The increasing number of networked devices connected to the Internet is causing an exponential growth of botnets. Subsequently, the number of DDoS (Distributed Denial of Service) attacks registered around the world also increased, especially during the pandemic lockdown. Therefore, it is crucial to understand how botnets are formed and how bots propagate within networks. In particular, analytic modelling of the botnets epidemic process is an essential component for understanding DDoS attacks, and thus mitigate their impact. In this paper, we propose two analytic epidemic models; (i) the first one for enterprise Software Define Networks (SDN) based on the SEIRS (Susceptible -Exposed -Infected -Recovered) approach, while (ii) the second model is designed for service providers' SDN, and it is based on a novel extension of a SEIRS-SEIRS vector-borne approach. Both models illustrate how bots spread in different types of SDN networks. We found that bot infection behaves in a similar way to human epidemics, such as the novel COVID-19 outbreak. We present the calculation of the basic reproduction number R o for both models and we test the system stability using the next generation matrix approach. We have validated the models using the final value theorem (FVT), with which we can determine the steadystate values that provide a better understanding of the propagation process.

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“…[17] Cryptography is a phenomenon that makes use of public, private, or shared keys for the encryption of the information at the sender's end, which is then transferred in the same form and is decrypted with the help of the key at the end of the receiver. [18] Various encryption algorithms have been developed and may be used in the case of SDN security as well. One such algorithm is the Rivest, Shamir, and Adleman (RSA) encryption algorithm.…”

Section: Defense In-depthmentioning

confidence: 99%

An Overview on SDN and NFV Security Orchestration in Cloud Network Environment

Aziz

Abdulqadder

2021

Cihan U Erbil SCI J

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Cloud networks are being used in most industries and applications in the current era. Software-defined networking has come up as an alternative tool and mechanism to follow and implement in a cloud networking environment in place of the traditional networking approaches. This paper includes the security aspects of computer networking concerning the cloud networking environment and software-defined networks. The security risks and vulnerabilities have been listed and described in this work, and the measures that may be adapted to detect, prevent, and control the same. The use of figures, diagrams, and codes has been done as applicable.

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SDN-based cyber defense: A survey

Cited by 54 publications

References 56 publications

A comprehensive survey on secure software‐defined network for the Internet of Things

A comprehensive survey on secure software‐defined network for the Internet of Things

Dynamics of Botnet Propagation in Software Defined Networks Using Epidemic Models

An Overview on SDN and NFV Security Orchestration in Cloud Network Environment

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