Security analysis based on Trusted Environment (TRE) of M2M/IoT

Urunov, Khamdamboy; Namgung, Jung-Il; Park, Soo-Hyun

doi:10.1109/apnoms.2015.7275390

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…This characteristic enabled significantly lower computational overheads and resource exhaustion. Thus, implementing the above discussed methods, we performed block-cipher encryption for the different set of inputs characterizing a small size authentication credential or a large plaintext data to be communicated over the IoT-centric LLNs channels or even to be stored on local memory [70]. The detailed discussion of the overall simulation results and allied inferences is given in the subsequent sections.…”

Section: A) Shannon Constrained Spn (Sspn)mentioning

confidence: 99%

“…In addition to the above discussed performance assessment, to assess attack-resilience of the proposed GFS-SSPN lightweight encryption system we performed qualitative assessment. In this method we examined the robustness and attack-resilience of the proposed lightweight encryption system in IoT-ecosystem [70]. In real-world IoT communication environment, an attacker can intercept the cipher stored (using SCLA), communicated (Linear and differential attack or impersonation) etc.…”

Section: B Qualitative Assessmentmentioning

confidence: 99%

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Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Gurumanapalli¹,

Muthuluru²

2021

IJACSA

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In the last few years Internet-of-Things (IoT) technology has emerged significantly to serve varied purposes including healthcare, surveillance and control, business communication, civic administration and even varied financial activities. Despite of such broadened applications, being distributed, wireless based systems, IoTs are often considered vulnerable towards intrusion or malicious attacks, where exploiting the benefits of loosely connected peers, the attackers intend to gain device access or data access un authentically. However, being resource constrained in nature while demanding time-efficient computation, the majority of the classical cryptosystems are either computationally exhaustive or limited to avoid attacks like Brute-Force, Smart Card Loss Attack, Impersonation, Linear and Differential attacks, etc. The assumptions hypothesizing that increasing key-size with higher encryption round can achieve augmented security often fail in IoT due to increased complexity, overhead and eventual resource exhaustion. Considering it as limitation, in this paper we proposed a state-of-art Generalized Feistel Network assisted Shannon-Conditioned and Dynamic Keying based SSPN (GFS-SSPN) Lightweight Encryption System for IoT Security. Unlike classical cryptosystems or even substitution and permutation (SPN) based methods, we designed Shannon-criteria bounded SPN model with Generalized Feistel Network (SPN-GFS) modelthat employs 64-bit dynamic key with five rounds of encryption to enable highly attack-resilient IoT security. The proposed model was designed in such manner that it could be suitable towards both data-level security as well as device level accesscredential security to enable a "Fit-To-All" security solution for IoTs. Simulation results revealed that the proposed GFS-SSPN model exhibits very small encryption time with optimal NPCR and UACI. Additionally, correlation output too was found encouragingly fair, indicating higher attack-resilience.

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Section: A) Shannon Constrained Spn (Sspn)mentioning

confidence: 99%

Section: B Qualitative Assessmentmentioning

confidence: 99%

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Gurumanapalli¹,

Muthuluru²

2021

IJACSA

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“…The results are conducted after testing three test cases on smart thermostat and smart socket. [44] 2015 Machine-To-Machine…”

Section: Security Of Iotmentioning

confidence: 99%

A Review on Internet of Things Architecture for Big Data Processing

Awadh

Hashim

Hamoud

2020

ijci

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The importance of big data implementations is increased due to large amount of gathered data via the online gates. The businesses and organizations would benefit from the big data analysis i.e. analyze the political, market, and social interests of the people. The Internet of Things (IoT) presents many facilities that support the big data transfer between various Internet objects. The integration between the big data and IoT offer a lot of implementations in the daily life like GPS, Satellites, and airplanes tracking. There are many challenges face the integration between big data transfer and IoT technology. The main challenges are the transfer architecture, transfer protocols, and the transfer security. The main aim of this paper is to review the useful architecture of IoT for the purpose of big data processing with the consideration of the various requirements such as the transfer protocol. This paper also reviews other important issues such as the security requirements and the multiple IoT applications. In addition, the future directions of the IoT-Big data are explained in this paper.

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Security analysis based on Trusted Environment (TRE) of M2M/IoT

Cited by 2 publications

References 3 publications

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

A Review on Internet of Things Architecture for Big Data Processing

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