Security &amp; Privacy in Software Defined Networks, Issues, Challenges and Cost of Developed Solutions: A Systematic Literature Review

Ahmed, Naveed; Bakar, Kamalrulnizam Abu; Zuhra, Fatima Tul; Kehkashan, Tanzila; Mujahid, Muhammad Akram; Rathore, Muhammad Siraj; Dawood, Muhammad; Isyaku, Babangida

doi:10.1007/s10776-022-00561-y

Cited by 7 publications

(2 citation statements)

References 97 publications

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“…This section addresses several possible security issues. Attackers could try to undermine the network's availability, secrecy and integrity by taking advantage of SDN vulnerabilities (Ahmed et al 2022).…”

Section: Security Issues In Blockchain-based Sdnmentioning

confidence: 99%

Blockchain empowerment: Investigating integration with software-defined networks and its impact on IoT privacy

Sinha,

Kumari,

Kataria

et al. 2024

Multidiscip. Rev.

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The swift expansion of Internet of Things (IoT) devices has brought forth exceptional prospects for automation and data-driven decisions. Software-Defined Networking (SDN) is an instance of network architecture that divides network devices into a control plane and a data plane. SDN provides a dynamic and adaptable method of managing the growing complexity of IoT devices with its programmable design and centralized control. A network's capacity to handle an increasing number of IoT devices is facilitated by SDN's improved scalability. Custom network policies and services that are suited to the distinctive requirements of various IoT applications it can be established because of SDN's programmability. SDN and blockchain integration can improve network transaction and configuration security. Here, blockchain technology is decentralized. There is not just one point of failure, which lowers the possibility of malicious attacks and illegal access. The study demonstrates that IoT environments can be enhanced more efficiently, transparently and safely by integrating blockchain technology with SDN. A summary of SDN is presented and then block-chain technologies are examined with a focus on consensus protocols. After that, it explores the difficulties of implementing blockchain-based SDN into practice, concentrating on security issues. Furthermore, this study explores the mutual effects of IoT and blockchain, emphasizing the complementary relationship between the two developing technologies. This review highlights that block-chain as well as SDNs could work together to strengthen IoT privacy and establish a more robust digital future.

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Section: Security Issues In Blockchain-based Sdnmentioning

confidence: 99%

Blockchain empowerment: Investigating integration with software-defined networks and its impact on IoT privacy

Sinha,

Kumari,

Kataria

et al. 2024

Multidiscip. Rev.

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“…Cryptographic techniques [4] are access control mechanisms [5] to communicate images, audio, and video data. Image encryption [6] is one of the essential cryptographic techniques for the emerging applications like medical images [7] or healthcare [8], spatial maps for defense [9], satellite image analysis [10], secure scientific applications [11], software-defined image networks analysis [12]. Information is the most valuable for the business organization, industry sectors, and governments.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Hybrid Fuzzy Image Encryption Models for the Secured Cloud Accessing in Portable Robotics Devices

Reddy¹,

Prasad²,

Reddy³

et al. 2023

Preprint

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Secure sharing of image data through different communication channels is a challenging research issue in digital networks. In such cases, cryptography algorithms are widely used to encrypt and decrypt the information reliably at both ends of source and target destinations. Various state-of-the-art image encryption algorithms are surveyed and investigated to assess the best image encryption. In this paper, image encryption is described with various fuzzy operation modes. It ensures secure image transmission over to the digital channels. Most reliable image encryption is the aim of the work, and it is achieved through developing a hybrid fuzzy based framework that composites the techniques of image encryption methods and fuzzy operation modes. Proposed hybrid fuzzy based models are highly recommended to maintain secure information on portable robotics devices, communication channels, and routing devices. These hybrid encrypted models provide the users' privacy to access the image data with reliable security mechanisms.

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Artificial Intelligence Technology in Computer Network Security

Lao¹,

Shen²

2023

Lecture Notes in Electrical Engineering

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Security & Privacy in Software Defined Networks, Issues, Challenges and Cost of Developed Solutions: A Systematic Literature Review

Cited by 7 publications

References 97 publications

Blockchain empowerment: Investigating integration with software-defined networks and its impact on IoT privacy

Blockchain empowerment: Investigating integration with software-defined networks and its impact on IoT privacy

An Efficient Hybrid Fuzzy Image Encryption Models for the Secured Cloud Accessing in Portable Robotics Devices

Artificial Intelligence Technology in Computer Network Security

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