A flexible encryption technique for the internet of things environment

Medileh, Saci; Laouid, Abdelkader; Nagoudi, El Moatez Billah; Euler, Reinhardt; Bounceur, Ahcène; Hammoudeh, Mohammad; AlShaikh, Muath; Eleyan, Amna; Khashan, Osama Ahmed

doi:10.1016/j.adhoc.2020.102240

Cited by 37 publications

(22 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FlexenTech is a lightweight encryption model that is adaptable. 26 The level of protection and flexibility in balancing complexity is demonstrated. The symmetric block cipher design is a FlexenTech for resource-constrained devices including wireless sensors and IoT.…”

Section: Lightweight Encryption Modelmentioning

confidence: 99%

See 1 more Smart Citation

A modified graywolf‐basedchameleon swarm algorithm for minimizing energy consumption and enabling secure communication in wireless sensor network

Shanmugam

Saravanan

Chandrasekar

2022

Concurrency and Computation

View full text Add to dashboard Cite

Summary The efficiency and security of WSNs are improved by designing multiple lightweight cryptographic techniques and a 6LoWPAN protocol, depending on resource utilization and a reasonable amount of energy. This is still caused by constraints such as power resource management, authentication, key management, and flexibility protocols. To address these challenges, a novel approach called the modified gray wolf‐based chameleon swarm (MGW‐CS) algorithm is presented to select the cluster heads from WSN nodes. The MGW‐CS algorithm is an amalgamation of both improved gray wolf optimizer and chameleon swarm algorithm. During cluster head selection, the QoS parameters such as network lifetime, energy efficiency, and throughput and packet delivery ratio are improved and optimized. By presenting a lightweight and flexible cryptographic model to manage encryption complexities, the encryption parameters are automatically selected based on the currently available resources of each sensor node for data encryption. Among various WSN nodes, data exchanging and secure communication are established with the development of novel authentication and a lightweight key management model. The proposed model is implemented using the NS‐2 software. The proposed methodology offers a packet delivery rate of 98.6% for a total of 500 nodes when compared to the different state‐of‐art techniques.

show abstract

Section: Lightweight Encryption Modelmentioning

confidence: 99%

“…The condition hde 1 (k, a) and k > a is satisfied. By applying Equation (26), perform the permutation round in every encryption round.…”

Section: The Architecture Of the Lightweight Encryption Modelmentioning

confidence: 99%

A modified graywolf‐basedchameleon swarm algorithm for minimizing energy consumption and enabling secure communication in wireless sensor network

Shanmugam

Saravanan

Chandrasekar

2022

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Hence, one of our contributions of this paper is to study the evaluation of various lightweight symmetric protocols. Mainly, the AES, Speck128, Tiny Encryption Algorithm (TEA) and FlexenTech [22] with all supported key sizes (128, 192 and 256 bits) are analysed and compared. For Speck128, the 128-bit block size con guration was selected since the other block ciphers also use 128 bit blocks.…”

Section: Lightweight Encryption Algorithms Have Been Recently Proposed As a Viable Solution For Securing Wsnsmentioning

confidence: 99%

“…In addition, the authors demonstrated that the security of the cipher is largely dependent on the key length. FlexenTech [22] is another lightweight symmetric block cipher considered for resource-limited IoT and WSN devices, where primitive computations are used to encrypt a plaintext.…”

Section: Cryptographic Algorithms In Wsnsmentioning

confidence: 99%

“…In managing sophistication and level of security, FlexenTech provides stability. The algorithm only conducts simple calculations using a mixture of, substitutes, random permutations and bit-level rotations to encrypt single info [22]. Table 1 shows the key schedule and block-size variations between their techniques.…”

Section: The Dynch Scheme For Mobile Wireless Sensor Networkmentioning

confidence: 99%

See 1 more Smart Citation

Analysis the Effect of Dynamic Clustering and Lightweight Symmetric Encryption Approaches on Network Lifetime in WSNs

Abu-Ain

Ahmad

Sundararajan

2021

Preprint

View full text Add to dashboard Cite

Energy consumption and security efficiency are still main challenges in Wireless Sensor Networks (WSNs) due to their hardware resource-constrained nature. The 6LoWPAN protocol was developed to improve WSNs communication, security, and node management optimization. Hence the protocol energy efficiency and security can be improved. In this paper, we address the WSN nodes’ power consumption by analyzing the Dynamic Cluster Head (DynCH) technique, which automates the process of selecting WSN Cluster Head (CH) nodes based on the WSN nodes’ energy and nodes’ distances among each other in mobile WSN nodes. Moreover, this analysis covers the complexity of DynCH in different environments to prove its efficiency compared to the steady CH mechanism. In addition, we present the performance analysis of different lightweight systematic block encryption algorithms along with DynCH scheme on WSNs lifetime. In particular, Speck128, FlexenTech, Tiny Encryption Algorithm (TEA), and Advanced Encryption Standard (AES) algorithms are used in order to determine the amount of energy consumed by the sensor nodes and their effect on the network lifetime. Furthermore, the lightweight key management mechanism is used to secure the data and keys exchange between WSN nodes in all different systematic encryption algorithms. The Cooja simulator with Contiki operating system are used to evaluate our analysis. Finally, the outcome of the analysis has showed that DynCH improves the wireless network lifetime by 45% compared to the steady clustering approach. Moreover, the analysis also shows that, Speck128 consumed 26%, FlexenTech consumed 52%, TEA consumed 65%, and AES consumed 78% of wireless network lifetime compared to unsecure wireless networks communication, respectively.

show abstract

DSDOS Cloud: A Decentralized Secure Data Outsourcing System With Hybrid Encryption, Blockchain Smart Contract‐Based Access Control, and Hash Authentication Codes for Cloud Security

Neela

2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

With the increasing trend of outsourcing data to cloud services, ensuring data security and privacy has become crucial. Typically, data are stored on cloud servers in encrypted form to mitigate risks. However, accessing the encrypted data requires an access key distributed by a third party. If this third party is untrustworthy, it poses a significant security threat to the system. To address this challenge, we propose a Decentralized Secure Data Outsourcing System (DSDOS) that uses blockchain technology to ensure data security and privacy. The DSDOS system comprises three modules: data security and privacy, access control and authorization, and data integrity and availability. The data security and privacy module uses a hybrid encryption scheme that combines Advanced Encryption Standard (AES), partially homomorphic encryption (PHE), and Diffie–Hellman (DH) to ensure secure data storage and access. The access control and authorization module uses a blockchain‐based smart contract system to manage access to the encrypted data. The data integrity and availability module uses hash‐based message authentication code (HMAC) to ensure that the data are not tampered with and is always available. We conducted a security and performance analysis of the DSDOS system and found that it outperforms previous schemes in terms of security and performance. The DSDOS system is a secure and privacy‐preserving data outsourcing system that can be used to mitigate the security risks associated with traditional cloud storage systems.

show abstract

A flexible encryption technique for the internet of things environment

Cited by 37 publications

References 48 publications

A modified graywolf‐basedchameleon swarm algorithm for minimizing energy consumption and enabling secure communication in wireless sensor network

A modified graywolf‐basedchameleon swarm algorithm for minimizing energy consumption and enabling secure communication in wireless sensor network

Analysis the Effect of Dynamic Clustering and Lightweight Symmetric Encryption Approaches on Network Lifetime in WSNs

DSDOS Cloud: A Decentralized Secure Data Outsourcing System With Hybrid Encryption, Blockchain Smart Contract‐Based Access Control, and Hash Authentication Codes for Cloud Security

Contact Info

Product

Resources

About