Secure Data Transmission Scheme Research Articles

A dual hashing-based authentication and secure data transmission scheme for vehicular cloud environment using MECC with optimal resource allocation mechanism

A dual hashing-based authentication and secure data transmission scheme for vehicular cloud environment using MECC with optimal resource allocation mechanism

An anonymous authentication and secure data transmission scheme for the Internet of Things based on blockchain

An anonymous authentication and secure data transmission scheme for the Internet of Things based on blockchain

A lattice-based certificateless secure data transmission scheme for Internet of Vehicles Based-Blockchain

A lattice-based certificateless secure data transmission scheme for Internet of Vehicles Based-Blockchain

LIGHTWEIGHT CRYPTOGRAPHY METHOD IN THE INTERNET OF THINGS USING ELLIPTIC CURVE AND CROW SEARCH ALGORITHM

The Internet of Things (IoT) as an important technology consists of a heterogeneous and huge number of devices that generates an enormous amount of data in various applications. However, generating and transmitting huge amount of data in the IoT makes it crucial to implement a secure and safe data transmission scheme. Cryptography methods can secure the confidentiality, data integrity, access control, and authentication. Due to constrained resources in IoT devices, providing classical cryptography schemes isn’t efficient for IoT applications, so a lightweight cryptography scheme is one of the most important solutions to overcome security challenges in IoT. In this paper, a new security scheme called ECCCSASHA256 based on Elliptic Curve Cryptography (ECC) and Secure Hash Algorithm (SHA-256) using Crow Search Algorithm (CSA) has been proposed for secure data transmission in IoT devices. The ECCCSASHA256 model uses the CSA for generating a private key to encode the elliptic curve. Furthermore, the proposed scheme uses SHA-256 model for hashing the incoming encoded data using ECC. The simulation results indicate that the average throughput of the proposed model was about 8.22% and 8.97% higher in encryption and 8.72% and 9.81% higher in decryption compared to 3DES&ECC&SHA-256 and RC4&ECC&SHA-256, respectively.

Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks

Lightweight and Secure Data Transmission Scheme Against Malicious Nodes in Heterogeneous Wireless Sensor Networks

CS-LeCT: Chained Secure and Low-Energy Consumption Data Transmission Based on Compressive Sensing

Energy consumption and security are two major challenges faced by telemedicine systems. Due to the simplicity and the randomness in information acquisition process, compressive sensing (CS) has a vast prospect in dealing with these two problems. Recently, a chained CS (CCS) scheme has been proposed, which can implement a secure and low-energy consumption data transmission. However, due to its chain computation and the lossy compression nature of CS, there exists an accumulative error in the existing CCS scheme. Moreover, the block-based CS decoding also leads to a significant performance deterioration. In this paper, a new chained secure and low-energy consumption data transmission (CS-LeCT) scheme has been proposed, whose reconstruction performance is far superior to the CCS. Firstly, to overcome the accumulative error of the CCS scheme, square matrices instead of under-determined matrices were used to encode the signal so that in the proposed CS-LeCT the decoding process can be carried out by adopting a lossless inverse operation. Secondly, inspired by the structurally random matrix (SRM), an active packet drop strategy was designed to achieve low-energy consumption data transmission, whose decoding can be implemented by means of the SRM-based CS reconstruction. The performance gain of the CS-LeCT has not only been validated through simulation experiments but also been analyzed theoretically. Safety analysis also shows that the proposed CS-LeCT can resist several potential attacks, such as ciphertext-only attacks (COA), known-plaintext attacks (KPA) and man-in-the-middle attacks (MiTM).

Secure and Efficient Data Transmission Scheme Based on Physical Mechanism

Many Internet of things application scenarios have the characteristics of limited hardware resources and limited energy supply, which are not suitable for traditional security technology. The security technology based on the physical mechanism has attracted extensive attention. How to improve the key generation rate has always been one of the urgent problems to be solved in the security technology based on the physical mechanism. In this paper, superlattice technology is introduced to the security field of Internet of things, and a high-speed symmetric key generation scheme based on superlattice for Internet of things is proposed. In order to ensure the efficiency and privacy of data transmission, we also combine the superlattice symmetric key and compressive sensing technology to build a lightweight data transmission scheme that supports data compression and data encryption at the same time. Theoretical analysis and experimental evaluation results show that the proposed scheme is superior to the most closely related work.

An efficient secure data transmission and node authentication scheme for wireless sensing networks

With the development of big data era, wireless sensor networks (WSNs) are widely used. However, the wireless sensing network has the disadvantages that it is difficult to monitor after deployment and the node energy after deployment cannot be supplemented. Therefore, this paper proposes an efficient and high-performance data acquisition scheme, and realizes the authentication of effective nodes and the confidentiality of data transmission. Firstly, the sensing node uses compressed sensing sampling network (CSSN) to complete high-performance data collection, and applies deep learning to wireless sensing network data collection. Secondly, the lightweight hash algorithm is applied to process the ID and timestamp time of each node to realize the identification and authentication of the sink node, and avoid the replay attack. Finally, the Paillier additive homomorphic encryption is used to encrypt the signed data to realize the confidential transmission of data. At the same time, this scheme evaluates the reputation of each sense node and deletes the damaged nodes invaded by attackers from the network. Taking image information acquisition as an example, a large number of experiments have proved the feasibility and applicability of this scheme.

A secure data transmission scheme based on multi-protection routing in datacenter networks

The adoption of protection routing guarantees the existence of a loop-free alternate path for packet forwarding when a single link or node failure occurs. By Tapolcai's method, the presence of two completely independent spanning trees (CISTs for short) suffices to configure a protection routing. This article extends the idea of protection routing to involve more CISTs and attach a secure mechanism in the configuration, which we call the secure multi-protection routing scheme (SMPR-scheme). Then, we use the SMPR-scheme to deal with privacy-preserving data transmissions, such as downloading personal medical records, tax bills, or other private information. To evaluate the effectiveness of the SMPR-scheme, we develop a probabilistic model that allows some malicious nodes to collect information illegally through neighboring access. We experimented with SMPR-scheme on the BCube (i.e., the generalized hypercube) datacenter network. Simulation results show that data transmission using SMPR-scheme ensures confidentiality (i.e., no node other than the recipient can receive the complete message) and effectively resists privacy collection even under malicious infringement.

Game theoretical secure wireless communication for UAV-assisted vehicular Internet of Things

With the ever-expanding applications of vehicles and the development of wireless communication technology, the burgeoning unmanned aerial vehicle (UAV) assisted vehicular internet of things (UVIoTs) has emerged, where the ground vehicles can experience more efficient wireless services by employing UAVs as a temporary mobile base station. However, due to the diversity of UAVs, there exist UAVs such as jammers to degenerate the performance of wireless communication between the normal UAVs and vehicles. To solve above the problem, in this paper, we propose a game based secure data transmission scheme in UVIoTs. Specifically, we exploit the offensive and defensive game to model the interactions between the normal UAVs and jammers. Here, the strategy of the normal UAV is to determine whether to transmit data, while that of the jammer is whether to interfere. We then formulate two optimization problems, i.e., maximizing the both utilities of UAVs and jammers. Afterwards, we exploit the backward induction method to analyze the proposed countermeasures and finally solve the optimal solution. Lastly, the simulation results show that the proposed scheme can improve the wireless communication performance under the attacks of jammers compared with conventional schemes.

A Secured and Reliable Continuous Transmission Scheme in Cognitive HARQ-Aided Internet of Things

The Internet of Things (IoT) is considered a key enabler for a wide range of smart applications. In IoT, a large number of heterogeneous devices form an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ad hoc</i> connection with each other. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ad hoc</i> infrastructure is considered an integral part of IoT-empowered applications because of its efficient, cost-effective, and dynamic nature. These networks need to ensure the quality of service using their limited resources, particularly in multihop communication. Because multihop communication can be an easy target of attackers, it needs a secure and reliable data transmission scheme. In this article, we propose a secured and reliable continuous transmission scheme for cognitive hybrid automatic repeat request (HARQ)-aided IoT (SRCT-HARQ) capable of maintaining high throughput and lower delay. The SRCT-HARQ scheme is analytically modeled using a probability-based approach. The mathematical formulas are derived for delay and throughput using a probability-based analysis, and the results are verified using the Monte Carlo simulations. The performance results elaborate that the network throughput and delay are improved, mainly due to the proposed authentication scheme. Using our experimental results, we evaluated the optimal time for data transmission to protect the legal rights of primary users that resulted in improved performance.

A secure and efficient authentication and data sharing scheme for Internet of Things based on blockchain

Internet of Things (IoT) is a network convergence of multiple intelligent devices and advanced technologies aiming at connecting and exchanging data over the Internet. IoT is extensively applied in consumer, commercial, industrial, infrastructure and military spaces. With the prevalence of IoT applications, security issues such as identity authenticity and data privacy are increasingly become critical concerns. Authentication and confidential data sharing are the important measures towards secure IoT communication and applications. Blockchain is a burgeoning technology supporting for efficient authentication and secure data sharing. A secure and accountable data transmission scheme based on blockchain has been proposed by Hong et al. recently. But this scheme has security weaknesses of impersonation attack, man-in-the-middle attack, replay attack, denial of service attack (DoS) and key compromise attack. Thus we put forward an improved scheme to overcome the identified security flaws. Our scheme is provably secure and performance analysis shows that our scheme reduces 15.34% computation costs and 40.68% communication costs compared with Hong et al.’s scheme. Meanwhile, we also compare our scheme with other three recent and related researches, which finally indicates that our scheme realizes a well tradeoff between security and efficiency.

FoG-Oriented Secure and Lightweight Data Aggregation in IoMT

Internet of Medical Things (IoMT) is becoming an essential part of remote health monitoring due to the evolution of medical wireless sensors and intelligent communication technologies. IoT-based healthcare applications are employed in the medical centers to provide continuous health monitoring of a patient. However, recent smart medical devices have limited resources to handle the huge amount of healthcare data. IoMT faces several challenging issues, like security, privacy, anonymity, and interoperability. In data aggregation and communication, the privacy and security of medical information is a demanding task. Therefore, we proposed a suitable scheme to overcome the limitations of existing research studies. This paper presents an Efficient and Secure Data Transmission and Aggregation (ESDTA) scheme to enhance aggregation efficiency and data security. Our proposed work provides secure data aggregation and data forwarding of healthcare parameter values by employing the Secure Message Aggregation (SMA) algorithm and Secure Message Decryption (SMD) algorithm at the Mobile Node (MN) and Fog Node (FN), respectively. From a security perspective, the proposed scheme preserves the data integrity and also protect against several security threats like data fabrication and replay attack. The proposed scenario is simulated through simulation tool NS 2.35. The simulation results prove that aggregation at the MN effectively reduces transmission and communication costs. Furthermore, the effective computation at the FN minimizes the storage and computational cost at the cloud server. Thus, the analysis of the proposed scheme shows the supremacy of our proposed work. We compare our scheme with other related secure data aggregation-based schemes in terms of communication cost, energy consumption, resilience, storage and computational cost.

무선 센서 네트워크에서 멀티 모바일 싱크를 위한 안전하고 신뢰성 있는 데이터 전송 기법

본 논문에서는 멀티 모바일 싱크를 사용하는 무선 센서 네트워크에서 블록체인과 비밀 공유 기법을 적용한 안전하고 신뢰성있는 데이터 전송 기법을 제안한다. 무선 센서 네트워크는 다수의 한정된 자원을 가진 센서 노드로 구성된 무선 네트워크이다. 자원이 한정적인 센서 노드들은 저전력 문제를 겪기 때문에 무인 항공 기체 등의 모바일 싱크를 활용하는 방법들이 제안되어 왔다. 하지만 모바일 싱크를 활용하는 시스템에서 센서 노드가 생성한 데이터를 전송할 때 데이터 유출, 데이터 위변조, 기능 장애와 같은 보안 및 신뢰성 문제가 발생할 수 있다. 본 논문에서 제안하는 기법은 비밀 공유 기법을 통해 원본 데이터를 공유값으로 분산저장하여 데이터 유출을 방지할 수 있으며 블록체인 기술을 활용하여 데이터 위변조와 기능 장애와 같은 문제들로부터 견고하다. 또한 보안 분석을 제시하여 제안하는 기법이 고려하고 있는 보안 위협으로부터 안전하다는 것을 증명한다.

An Efficient Cross-Domain Data Transmission Scheme for Wireless Body Area Networks.

Wireless body area networks (WBANs) have become a prospective technology for the next generation healthcare services, in which tiny sensors are placed either on the skin or in the body of human to transmit real-time monitored data to the medical service provider (MSP). In order to protect the transmitted data from leakage, forgery or alteration, constructing a secure data transmission scheme for WBANs that achieves confidentiality, authentication and integrity is necessary. Also, in practical application of WBANs, patient and MSP are in different domain networks in general. In this article, we first design a cross-domain certificateless signcryption (CDCS) scheme, then an efficient cross-domain data transmission scheme for WBANs is proposed based on the new CDCS scheme. The data transmission scheme realizes authentication, confidentiality, anonymity, nonrepudiation, integrity, registration security and KSTI security. Compared to present two security schemes for the WBANs based on certificateless signcryption, our designed scheme entitles patient and MSP to use different cryptographic parameter in different domain networks. Moreover, the new scheme has advantages in communication overhead and computation cost.

Secure data transmission on a distributed cloud server with the help of HMCA and data encryption using optimized CP-ABE-ECC

The cloud computing (CC) model is diverse as well as has broad phenomena because of which it is being preferred widely. Due to security challenges, the user cannot utilize CC to its full potentials. Storing their sensitive data in an insecure place is not even an option for these users. Many techniques were posited for securely amassing the data in the cloud; however, during massive transmission, none of them maintain end-to-end security. And, prevailing methods are also unable to solve the key intricacy and avoid key secrecy expose. Thus, for trouncing these disadvantages and also assuring the data transmission (DT) as of the source–destination, a secure DT scheme with the help of a distributed cloud server (CS) and data deduplication is proposed. The uploaded user data can well be amassed in disparate CS to ameliorate the user data’s security. It can be done by, first, extracting the features of the user data along with the CS. After that, the Hybrid Meerkat clan algorithm (HMCA) chose the CS, which is optimally centered on the features. Next, the SHA512 algorithm performs the data deduplication of the input user data. Subsequent to data deduplication, the input file is compressed and encrypted using a two-stage lempel–ziv algorithm and optimized CP-ABE-ECC algorithm. Lastly, the encrypted file is stored in the chosen CS. The experimentation is implemented to analyze the proposed method’s performance. The outcomes exhibited that the proposed work performed better contrasted to other prevailing algorithms.

Secure and Efficient Data Collection and Storage of IoT in Smart Ocean

Due to the abundant marine resources, smart ocean has attracted much attention of the government, industry, and academy. The Internet-of-Things (IoT) architectures for smart ocean have been proposed to collect various of data from the ocean, thereby assisting environmental protection, military reconnaissance, and so on. However, few researchers have paid attention to the security and privacy issues of data collection and transmission. In this article, for the unreliable underwater environment, we present a secure, efficient, and complete data collection, and transmission and storage scheme for IoT in smart ocean. Especially, to prolong the lifetime of the underwater node, two novel data compression algorithms [lossy data compression algorithm (LCA) and lossless data compression algorithm (NLCA)] are also proposed. Moreover, due to the vulnerability of underwater nodes, we also propose a corresponding IoT framework and data collection pattern to resist the single point failure attack. Besides, to guarantee the confidentiality, reliability, and integrity of transmitting data, Elliptic Curve-ElGamal (EC-ElGamal) and elliptic curve digital signature algorithm (ECDSA) are employed. The consensus algorithm and blacklisting mechanism are also employed to detect and address failure or malicious nodes. Finally, the security analysis demonstrates that our scheme is able to resist many typical attacks for underwater nodes, such as manipulation attacks, Distributed Denial-of-Service (DDoS) attacks, malicious node injection attacks, and so on. Additionally, relevant experimental results show that the scheme is feasibility and efficiency.

A Flexible and Efficient Authentication and Secure Data Transmission Scheme for IoT Applications

Internet-of-Things (IoT) applications have been rapidly deployed into pervasive environment, where both challenges and opportunities abound. On the one hand, a large number of IoT devices and their rich functions contribute significant volumes of data, which has brought tremendous convenience to the daily lives of end users. On the other hand, the heterogeneous IoT devices and a large amount of private information transmitted through networks also bring serious security and privacy issues. It is a big challenge to model IoT systems and trust relationships between different entities with a large number of heterogeneous IoT devices. In this article, we study a general IoT system architecture with consideration of heterogeneous IoT devices. Different trust models are proposed and analyzed based on the trust relationships between different entities in the IoT system. We propose a flexible and efficient authentication scheme with a consideration of heterogeneous IoT devices based on the least trust-required model. The proposed scheme provides security and privacy to resource-limited IoT devices flexibly and efficiently by utilizing IoT devices with better storage and computational ability. Moreover, secure data transmission is presented with contextual privacy and data integrity services. The proposed scheme achieves not only the mutual authentication, initial session key agreement, and data integrity but also anonymity, contextual privacy, forward security, end-to-end security, and key escrow resilience. Security analysis is presented to provide verification of the proposed protocol and security objectives. Moreover, performance evaluation is presented with comparison to the other schemes in terms of security features, computational overhead, and communication overhead. The performance comparisons show that our proposed scheme provides flexible and efficient security by consideration of heterogeneous IoT devices. With the higher proportion of resource-limited IoT devices, our proposed scheme outperforms other similar schemes.

A novel secure data transmission scheme in industrial internet of things

The industrial Internet of Things (IoT) is a trend of factory development and a basic condition of intelligent factory. It is very important to ensure the security of data transmission in industrial IoT. Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper. The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order. The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system. The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle. We calculate and analyze the key space of the scheme. Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.

SecP2PVoD: a secure peer-to-peer video-on-demand system against pollution attack and untrusted service provider

The Peer-to-Peer video-on-demand (P2P-VoD) streaming has become widespread in recent years. Unlike the traditional client-server model based video-streaming, the P2P-VoD leverages the peer’s capacity of upload bandwidth for the delivery of video contents in a distributed network. The P2P environment is susceptible to various security threats, in which the pollution attack is one of the potentially destructive threats. Moreover, video streaming is prone to other security challenges, such as authenticity, confidentiality, authorization, and integrity. There have been discussed four possible protection to the pollution attack: blacklisting, hash verification, traffic encryption, and chunk signing. In this paper, we present escrow-free identity-based signcryption (EF-IDSC) scheme for secure data transmission scheme in P2P-VoD streaming with an untrusted service provider. The proposed system enables a peer to establish a session key with other peer using the asymmetric key algorithm. The security analysis shows that the proposed P2P-VoS system prevents pollution attacks under well-known random oracle model and achieves privacy, confidentiality, and subscriber authentication simultaneously. The experimental evaluation shows that the proposed scheme has better computation and communication costs as compared to the related schemes.