Robust encryption method based on AES-CBC using elliptic curves Diffie–Hellman to secure data in wireless sensor networks

Ametepe, Adoté François-Xavier; Ahouandjinou, Arnaud; Ezin, Eugène C.

doi:10.1007/s11276-022-02903-3

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…Information. Through AES encryption method [20], the anti encryption control and structural reorganization of college sports fitness sensitive information are carried out, and the measurement information of college sports fitness sensitive…”

Section: Mixed Encryption Of Sports Fitness Sensitivementioning

confidence: 99%

Hybrid Encryption Algorithm for Sensitive Information of College Physical Fitness in Cloud Storage Environment

Deng

2022

Journal of Sensors

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In order to improve the security of college sports fitness sensitive information, this paper proposes a hybrid encryption algorithm for college sports fitness sensitive information in cloud storage environment. Build an analysis model of influencing factors of cloud storage environment to identify the risk value of sensitive information; Using Bloom filter data structure to eliminate redundant data of sensitive information; The transmission channel model of sensitive information and the security coding model of sensitive information are constructed. Combined with the fuzzy differential information fusion method, the complete key of sensitive information under the symmetric encryption protocol is obtained to realize the key optimization design. Through AES encryption and decryption algorithm, the anti encryption control and structural reorganization of college sports fitness sensitive information, and the iterative convergence control of hybrid encryption, so as to realize the hybrid encryption of college sports fitness sensitive information. The encryption time of the design algorithm under different attribute numbers is always kept below 0.2S, the maximum encryption time under different number of software packages is only 0.5 s, and the encryption accuracy can reach 1, which proves that the design algorithm has certain application value.

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Section: Mixed Encryption Of Sports Fitness Sensitivementioning

confidence: 99%

Hybrid Encryption Algorithm for Sensitive Information of College Physical Fitness in Cloud Storage Environment

Deng

2022

Journal of Sensors

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“…The reactive security support system provides a novel solution against various attacks with minimal energy consumption. The attack alert system for each channel works based on the attacker database and rule-based intrusion detection policies [ 49 , 50 ]. These DIDS policies are executed concerning the sensor node’s local decision-making functions and MAC alert functions.…”

Section: Methodsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

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The Wireless Medium Access Control (WMAC) protocol functions by handling various data frames in order to forward them to neighbor sensor nodes. Under this circumstance, WMAC policies need secure data communication rules and intrusion detection procedures to safeguard the data from attackers. The existing secure Medium Access Control (MAC) policies provide expected and predictable practices against channel attackers. These security policies can be easily breached by any intelligent attacks or malicious actions. The proposed Wireless Interleaved Honeypot-Framing Model (WIHFM) newly implements distributed honeypot-based security mechanisms in each sensor node to act reactively against various attackers. The proposed WIHFM creates an optimal Wireless Sensor Network (WSN) channel model, Wireless Interleaved Honeypot Frames (WIHFs), secure hash-based random frame-interleaving principles, node-centric honeypot engines, and channel-covering techniques. Compared to various existing MAC security policies, the proposed model transforms unpredictable IHFs into legitimate frame sequences against channel attackers. Additionally, introducing WIHFs is a new-fangled approach for distributed WSNs. The successful development of the proposed WIHFM ensures resilient security standards and neighbor-based intrusion alert procedures for protecting MAC frames. Particularly, the proposed wireless honeypot methodology creates a novel idea of using honeypot frame traps against open wireless channel attacks. The development of a novel wireless honeypot traps deals with various challenges such as distributed honeypot management principles (node-centric honeypot, secretly interleaved-framing principles, and interleaving/de-interleaving procedures), dynamic network backbone management principles (On Demand Acyclic Connectivity model), and distributed attack isolation policies. This effort provides an effective wireless attack-trapping solution in dynamic WSNs. The simulation results show the advantage of the proposed WIHFM over the existing techniques such as Secure Zebra MAC (SZ-MAC), Blockchain-Assisted Secure-Routing Mechanism (BASR), and the Trust-Based Node Evaluation (TBNE) procedure. The experimental section confirms the proposed model attains a 10% to 14% superior performance compared to the existing techniques.

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“…Protecting keys is a significant point in WSNs since messages are communicated/encrypted through channels using these keys wirelessly where adversaries (As) might gain penetration to collected data if the keys are hacked. Some current solutions do not take into account WSN limitations, such as constrained resources when addressing critical resource-constrained nodes [10,11]. Guaranteeing the security of WSN collected data and transmitted remains a real test for developers and researchers [10,12].…”

Section: Introductionmentioning

confidence: 99%

“…Some current solutions do not take into account WSN limitations, such as constrained resources when addressing critical resource-constrained nodes [10,11]. Guaranteeing the security of WSN collected data and transmitted remains a real test for developers and researchers [10,12]. Certainly, the absence of a trustworthy key management protocol does not support applying symmetric cryptographic procedures.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, lightweight computational sensors, which were deployed in the WSN framework, make security difficulties for many existing health applications. The heuristic function obtained is adjusted to decrease the divergence issue [10]. Because of such conditions, it is important to determine the requirement for comprehensive and intact protection to guarantee WSNs are settled and secured.…”

Section: Introductionmentioning

confidence: 99%

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Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

Al-Zubaidie

2023

Symmetry

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Internet of Things (IoT) applications are critical for the fast delivery of health information/data in different environments. The wireless sensor network (WSN) can be used within IoT applications to collect this information in the electronic-health sector. However, the essential drawback of WSN and health applications is ensuring that patient and healthcare provider data/information is protected. In addition, exchanging keys and joining the network is the first/most important line of defense to protect health information. Amid all this, the previous search has introduced many key exchange protocols but still suffers from security and performance issues for WSNs and user devices. In this research, we propose a new protocol for exchanging keys and joining the network using security algorithms that are Elliptic-curve Diffie–Hellman (ECDH) and QUARK hash (qh). We focused on applying lightweight and high-security techniques to reduce the burden on WSN resources, by adopting a solid methodological approach to support security first and performance second. The security analysis is simulated with the Scyther tool, and the results indicate that our protocol is able to block key exchange attacks known in the existing research. Furthermore, we carried out a comparison with the results of the recent search in terms of performance, our protocol provides better performance results than the results of the existing search.

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Robust encryption method based on AES-CBC using elliptic curves Diffie–Hellman to secure data in wireless sensor networks

Cited by 18 publications

References 28 publications

Hybrid Encryption Algorithm for Sensitive Information of College Physical Fitness in Cloud Storage Environment

Hybrid Encryption Algorithm for Sensitive Information of College Physical Fitness in Cloud Storage Environment

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

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