An Opportunistic Approach for Cloud Service-Based IoT Routing Framework Administering Data, Transaction, and Identity Security

Sharma, Deepak Kumar; Bhardwaj, Kartik Krishna; Banyal, Siddhant; Gupta, Riyanshi; Gupta, Nitin; Nkenyereye, Lewis

doi:10.1109/jiot.2021.3078810

Cited by 14 publications

(3 citation statements)

References 15 publications

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“…Compared to related works, no direct exchanges between the controllers are required in this solution. In the aspect of routing security scheme, in literature 33 , probabilistic framework is proposed that facilitates data routing between the nodes and local cloud in an IoT network coupled with a multitier trust and encryption scheme for secure data delivery in the cloud-based IoT network. literature 34 presents a security-aware routing mechanism and discusses with quality of service (QoS) factors such as throughput and accuracy for improving routing mechanism.…”

Section: Related Workmentioning

confidence: 99%

A data plane security model of segmented routing based on SDP trust enhancement architecture

Wang

Jiang

et al. 2022

Sci Rep

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Segment routing (SR) technology is a new network functional technology derived from MPLS technology and based on SDN. Combining SR with software-defined perimeter (SDP), a new network security technology, is expected to solve the traditional problems such as data monitoring, denial of service, and new threats such as loop attack and label detection faced by SR data plane. Focusing on the security management of access devices in the SR data plane, first, this paper proposes an SR security model SbSR (SDP-based SR) based on SDP trust enhancement architecture, then, two-level SDP AH trust verification mechanism and 4 trust management mechanisms including initial trust value, trust evaluation, trust renewal, trust inheritance are designed. In the trust evaluation mechanism as the core of the model, System cloud grey model (1,1) weighted Markov prediction model is introduced to obtain real-time trust based on the historical behavior of device nodes, and 4 indexes, namely benign message ratio, loyal forwarding ratio, forwarding ratio stationarity coefficient, packet rate stationarity coefficient, are introduced to distinguish malicious devices from normal devices. Finally, the simulation test results of 5 security functions and security costs show that the proposed architecture can solve port scanning, traffic monitoring, topology detection, loop attack, and DoS attack of SR network data plane with an average access delay cost of 2.84 s for each new network agent, and realize multi-faceted protection of SR network data plane.

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Section: Related Workmentioning

confidence: 99%

A data plane security model of segmented routing based on SDP trust enhancement architecture

Wang

Jiang

et al. 2022

Sci Rep

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“…So, the summation of all the rows is done separately and depicted by Sum Row, where Node N4 has the highest value of trust. Therefore, node N4 is selected for the task of forwarding the packets [33].…”

Section: Trust Computation Using Cumulated Trust Valuementioning

confidence: 99%

Intelligent Trust based Security Framework for Internet of Things

Rana¹,

Singh²,

Vijaya

2022

IJRITCC

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Trust models have recently been proposed for Internet of Things (IoT) applications as a significant system of protection against external threats. This approach to IoT risk management is viable, trustworthy, and secure. At present, the trust security mechanism for immersion applications has not been specified for IoT systems. Several unfamiliar participants or machines share their resources through distributed systems to carry out a job or provide a service. One can have access to tools, network routes, connections, power processing, and storage space. This puts users of the IoT at much greater risk of, for example, anonymity, data leakage, and other safety violations. Trust measurement for new nodes has become crucial for unknown peer threats to be mitigated. Trust must be evaluated in the application sense using acceptable metrics based on the functional properties of nodes. The multifaceted confidence parameterization cannot be clarified explicitly by current stable models. In most current models, loss of confidence is inadequately modeled. Esteem ratings are frequently mis-weighted when previous confidence is taken into account, increasing the impact of harmful recommendations. In this manuscript, a systematic method called Relationship History along with cumulative trust value (Distributed confidence management scheme model) has been proposed to evaluate interactive peers trust worthiness in a specific context. It includes estimating confidence decline, gathering & weighing trust parameters and calculating the cumulative trust value between nodes. Trust standards can rely on practical contextual resources, determining if a service provider is trustworthy or not and does it deliver effective service? The simulation results suggest that the proposed model outperforms other similar models in terms of security, routing and efficiency and further assesses its performance based on derived utility and trust precision, convergence, and longevity.

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“…Among these, authentication is one of the security services to be deployed in the network. Techniques based on the Blockchain (M. Sharma et al, 2020), machine learning (Punithavathi et al, 2019), cloud services (D. K. Sharma et al, 2021), biometric (Sui et al, 2011), session keys or session time, cryptography can be utilized for ensuring security via authentication, identity and privacy management. Cryptography is broadly categorized into symmetric key and asymmetric key.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

LEOBAT: Lightweight encryption and OTP based authentication technique for securing IoT networks

Goel

Sharma

Gupta³

2021

Expert Systems

Self Cite

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Authentication is one of the foremost pillars in the Internet of Things (IoT) security that authenticates the identity of a device or a person with the help of a unique identification number. If authentication is compromised then an intruder can gain access and launch a variety of attacks on the network. The world of IoT devices is benefiting us in many ways, but the vulnerability of becoming a victim of cybercrime is also increasing at a rapid pace. This research paper proposes an authentication-based solution for designing a secure communication network to ensure safe access to data and stop attackers from any unauthorized access to various IoT applications using cryptography and cloud computing. The proposed work is then compared with other popular cryptosystems such as Secure Internet of Things (SIT), Data Encryption Standard (DES) and Blowfish. LEOBAT is simulated using MATLAB and proves to be a fast and efficient authentication technique.

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An Opportunistic Approach for Cloud Service-Based IoT Routing Framework Administering Data, Transaction, and Identity Security

Cited by 14 publications

References 15 publications

A data plane security model of segmented routing based on SDP trust enhancement architecture

A data plane security model of segmented routing based on SDP trust enhancement architecture

Intelligent Trust based Security Framework for Internet of Things

LEOBAT: Lightweight encryption and OTP based authentication technique for securing IoT networks

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