Security in Software-Defined Networking: Threats and Countermeasures

Shu, Zhaogang; Wan, Jiafu; Li, Di; Lin, Jintong; Vasilakos, Athanasios V.; Imran, Muhammad

doi:10.1007/s11036-016-0676-x

Cited by 168 publications

(80 citation statements)

References 42 publications

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“…The proposed approach by the researchers utilizes adaptive trust evaluation and management technologies as well as sustainable trusted computing technologies to achieve computing platform trust and software defined networking security. A qualitative comparison is provided by Shu et al [14] between the advantages and disadvantages of softwaredefined networking and traditional networking regarding security issues concerning overall architecture. Moreover, a detailed assessment of the threats of software-defined networking from the perspective of functional layers and attack types is also provided by the authors' .…”

Section: Anomaly Detection Techniquesmentioning

confidence: 99%

Botnet detection using graph-based feature clustering

et al. 2017

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Section: Anomaly Detection Techniquesmentioning

confidence: 99%

Botnet detection using graph-based feature clustering

et al. 2017

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“…The author also highlights the issue that although development and implementation of the security applications is done via the application plane, the security of the application plane itself is a major security challenge. Z. Shu et.al [18] focuses on the various security aspects provided by SDN by analyzing the threats and countermeasures in great detail from three perspectives, i.e., the control layer, the data forwarding layer, and the working application. They have analyzed four threats which compromises the security of an SDN infrastructure.…”

Section: Literature Surveymentioning

confidence: 99%

Encryption analysis of AES-Cipher Block Chaining performance in Crypto-Wall Ransomware and SDN based mitigation

Pillai¹,

Vasanthi²,

Kadikar³

et al. 2018

IJET

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The arrival of affordable high speed internet and superior computing processors has given the ability to access a novel environment of opportunities and challenges at an individuals fingertips. Sectors of education, administration, business, medical and corporate have been revolutionised by this latest onset of technology. With the arrival of IoT (Internet of Things), the number of devices that are connected to the internet will be higher than ever before. Along with this increase, the diversity of threats propagating on the internet will see a comparable increase. These threats are designed in a way to alter the integrity of the data, embed itself into other programs for further propagation and also to gain monetary compensation. In recent times, the popular malware which has made headlines worldwide is ransomware. This type of malware infection uses complex encryption of user specific files and demands a ransom for retrieval of these files. Modern ransomware behaviour indicates propagation of the malware from the host victim to other computers and shared drives within its network. This paper contains in-detailed analysis of ransomware and the currents trends of this malware. The time taken for CryptoWall ransomware encryption using AES-CBC is observed for various data sizes and a SDN approach for ransomware threat mitigation is discussed.

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“…A detailed discussion on mechanisms elaborated in researches for development of secure OpenFlow based cloud environment covered in Section 4. The opportunities and vulnerabilities related to cloud security with SDN are thoroughly discussed in [45].…”

Section: E Threats and Vulnerabilities With Sdn Utilization In Cloudmentioning

confidence: 99%

Security in OpenFlow Enabled Cloud Environment

Alameen¹,

Rubab²,

Dhupia³

et al. 2017

ijacsa

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Abstract-Inception of flow tables as data plane abstraction, and forwarding rules that are managed by centralized controllers in emerging Software Defined Networks (SDN) has stemmed significant progress in OpenFlow based architectures. SDN is particularly fueled by data center networking and cloud computing. OpenFlow coupled with cloud solutions provide dynamic networking capabilities. With the benefits obtained from network services, security enforcement become more important and need powerful techniques for its implementation. Extensive researches in cloud security bring forward numerous methods of leveraging the SDN architecture with efficient security enforcement. The future of SDN and mobile networks is also enlightened if security models are satisfactory to cover dynamic and flexible requirements of evolving networks. This paper presents a survey of the state of the art research on security techniques in OpenFlow based cloud environments. Security is one of the main aspect of any network. A fair study and evaluation of these methods are carried out in the paper along with the security considerations in SDN and its enforcement. The security issues and recommendations for 5g network are covered briefly. This work provides an understanding of the problem, its current solution space, and anticipated future research directions.

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Security in Software-Defined Networking: Threats and Countermeasures

Cited by 168 publications

References 42 publications

Botnet detection using graph-based feature clustering

Botnet detection using graph-based feature clustering

Encryption analysis of AES-Cipher Block Chaining performance in Crypto-Wall Ransomware and SDN based mitigation

Security in OpenFlow Enabled Cloud Environment

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