Lightweight Digital Signature Research Articles

A novel security routing using identity-based lightweight digital signature in WMSNs

A novel security routing using identity-based lightweight digital signature in WMSNs

Lightweight Privacy and Security Computing for Blockchained Federated Learning in IoT

The development of Internet of Things (IoT) makes human life more intelligent, and the interconnection of all things has become a reality. However, the surge in the number of devices and centralized management brings severe challenges to IoT, such as single point of failure, poor security, privacy leakage, and low reliability. Due to the decentralization, verifiability and privacy protection of blockchain federated learning, some blockchain federated learning schemes have been proposed to solve these problems, but bring new challenges, such as device privacy leakage and heavy security computing load. In this paper, we propose a new decentralized, secure and verifiable consortium blockchain federated learning privacy protection scheme, named LPBFL, which realizes lightweight computing while ensuring the privacy of the local model and dataset of the device. To achieve lightweight privacy protection, LPBFL adopts the Paillier encryption and the newly designed lightweight digital signature and batch verification algorithm. Additionally, considering that devices upload invalid or even toxic local models intentionally or unintentionally, we design a device reputation selection mechanism to make blockchain federated learning more efficient. Finally, the theoretical analysis proves the security of LPBFL and verifies the unforgeability of the proposed digital signature. Comprehensive comparisons and extensive experiments demonstrate that our LPBFL has significant advantages in multiple aspects.

Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning

Federated learning (FL) is a promising technology for achieving privacy-preserving edge intelligence and has attracted extensive attention from industry and academia. However, in the FL training process, the server directly aggregates local models from mobile devices, which poses serious privacy and security threats. The identity authentication mechanism can provide FL with local model integrity and source authentication. However, the existing schemes are centralized, and most of them are computationally expensive, resulting in limited performance. To address these issues, this paper proposes a decentralized and lightweight anonymous FL identity authentication scheme, namely DAFL. In our scheme, we first design a decentralized and simplified storage FL authentication framework by combining the directed acyclic graph (DAG) blockchain and accumulator. Then, we propose a lightweight digital signature algorithm that supports batch verification for authentication. Finally, nodes interact through pseudonyms to achieve anonymous communication, and the trusted authority (TA) can track and recover the real identities of nodes when malicious behavior occurs. We theoretically prove the security of the proposed DAFL. The extensive experiments demonstrate that DAFL achieves lower authentication overhead and better convergence performance compared to existing authentication schemes and vanilla FL systems.

A Chosen-Provably-Secure Attack-Resistant Light-Weight Digital Signature Based on Elliptical Curve for Resource Constrained Applications

A Chosen-Provably-Secure Attack-Resistant Light-Weight Digital Signature Based on Elliptical Curve for Resource Constrained Applications

An Empirical Evaluation of Various Digital Signature Scheme in Wireless Sensor Network

Sensor node authentication and integrity of data are of utmost importance in many decision-making processes in wireless sensor networks, with the intent that every necessary data must be digitally signed by its sensor node to send data cautiously on wireless network. No one should unlock the data other than the sink node, since only the sink node can have privilege for the verification of data. The key generation process and/or the verification process is certainly a difficult job, and it would wear out the sensor having minimal operational resources. This paper studies and evaluates different types of digital signature algorithms, such as ECDSA, RSA, OTS, Lightweight digital signature and identity-based signature, and compares their key sizes, computational and energy cost in WSN. It has been found that elliptic curve digital signature algorithm has significant benefit over other public-key algorithms in WSN, as it minimizes computational time, amount of data transmission and storage.

An Enhanced Security Framework for Secured Data Storage and Communications in Cloud Using ECC, Access Control and LDSA

In this paper, we propose an enhanced security framework for securing the cloud users data in the cloud environment. This new security framework consists of access control methodology, encryption/decryption technique and digital signature algorithms. Here, a new Elliptic Curve Cryptography based key generation algorithm is proposed for generating highly secured keys. Moreover, a new Identity based Elliptic curve Access Control mechanism (Id-EAC) is also proposed in this paper for restricting the cloud user’s data accessibility over the different kind of data. In addition, a new binary value based two phase encryption and decryption algorithm that referred the elliptic curve cryptographic based key values is introduced to secure the cloud user’s data in the cloud environment. Finally, a new modulo function based Lightweight Digital Signature Algorithm is also proposed to ensure the data integrity in this proposed security framework. This security framework is provided the high data security, accessibility and integrity for the user data. The experimental results show that the efficiency of the proposed algorithms in this security framework is proved as better than other existing algorithms in terms of security and performance.

Multi‐user broadcast authentication scheme for wireless sensor network based on elliptic curve cryptography

AbstractWireless sensor networks (WSNs) have found use in many areas ranging from military to healthcare among other areas of interest. Multiuser broadcast authentication is an important security feature in WSNs that can enable users to securely broadcast their data in a WSN. By its very nature, a WSN is resource constrained in nature making security implementation on such a network a major challenge of concern. In this paper, we present an efficient pairing‐free broadcast authentication (BA) scheme with message recovery based on a lightweight digital signature protocol for use on WSNs. Our proposed BA scheme is able to accelerate message authentication broadcasted over a WSN while providing user anonymity. Comparing our proposed BA scheme with previous existing and related BA schemes, we have demonstrated that a reduction in computation, communication, and energy cost is possible making our scheme efficient for use on WSNs.

A Lightweight Digital Signature Based Security Scheme for Human-Centered Internet of Things

Internet of Things (IoT) comprises of large number of smart devices that can exchange sensed data by availing online services. Smart devices can directly interact with the human beings for sensing the healthcare parameters and transmitting to a central repository. During the data exchange, it is mandatory to secure the messages between sender and receiver to handle the malicious human based attacks. For providing secure communication, a number of signature-based schemes are explored in literature but smart devices need more lightweight operations by ensuring desired security strengths. The main problem during signature based approaches is the computational overhead due to large real numbers required for signature and verification processes. This paper presents a light weight shortened complex digital signature algorithm for providing secure communication between smart devices in human centered IoT. We have used less extensive operations to achieve signature and verification processes like human beings do signatures on legal documents and verify later as per witness. We have also presented a multi-option parameter selection to use a signature-verification pair of expressions at particular index by adopting the common practice of human beings for using different signatures as per document criticality level. It enhances the security strength to guard against traffic analysis attacks. We have developed an experimental setup where a number of cell phones and smart devices are considered for secure communication using existing and proposed digital signature schemes. Results demonstrate the supremacy of our scheme as compared to preliminaries.

Precomputation Methods for UOV Signature on Energy-Harvesting Sensors

Wireless sensor networks (WSNs) are increasingly gaining impact on our daily lives. They are finding a wide range of applications in various domains, such as health-care, environmental monitoring, and so on. In future, WSNs are expected to be integrated into the Internet of Things (IoT). The integrity of the sensed data is of primary importance in WSN and IoT applications. However, WSN platforms always have very limited resources in terms of battery power, computing, and memory. Therefore, it is a key challenge to design an energy-friendly, lightweight digital signature algorithm for WSN platforms. In this paper, we present precomputation methods for unbalanced oil–vinegar (UOV) signature scheme by exploiting the energy-harvesting capabilities of WSN to enhance the performance of UOV signature. In addition, we combine a circulant method with precomputation in the UOV signature to further reduce the energy cost. Meanwhile, the circulant method reduces the size and the memory overhead of the precomputation tuple. This increases the availability of precomputation and greatly enhances the availability of the overflow energy. By integrating the above-mentioned optimization methods, the cost of UOV signature in a WSN node can be reduced by 93%. This greatly enhances the performance of UOV signature, making it feasible for the practical deployment on resource-constrained wireless sensor platforms.

LWDSA: light-weight digital signature algorithm for wireless sensor networks

The essential security mechanism in wireless sensor networks (WSNs) is authentication, where nodes can authenticate each other before transmitting a valid data to a sink. There are a number of public key authentication procedures available for WSN in recent years. Due to constraints in WSN environment there is a need for light-weight authentication procedure that consumes less power during computation. This proposed work aims at developing a light-weight authentication protocol using MBLAKE2b with elliptic curve digital signature algorithm (ECDSA). The proposed protocol is also tested using the protocol verification tool Scyther and found to be secure in all claims and roles. This proposed algorithm increases the network life time and reduces the computation time, which is essential for the constrained environment like WSNs.

A Lightweight Digital Signature Cryptographic Protocol for Authentication and Integrity Based on Location

The shipping of digital documents, from a sender to a receiver, must keep certain properties, including the authenticity of the source and message integrity. These properties can be achieved through cryptographic protocols, which define the way in which a cryptographic primitive should be used during a communication process. As an additional function to the mentioned properties, GeoLock is a function that is used to add the coordinates of a receiver to the digital signature primitive or to other cryptographic primitives, which helps to prove that such entity is located in the right place and is able to verify a generated signature avoiding antispoof receivers. However, the use of public key cryptographic primitives with the GeoLock function on mobile devices, involves considering the performance of all cryptographic operations together. Considering the aforementioned, in this study a lightweight cryptographic protocol based on the digital signature primitive and GeoLock is presented in order to meet authentication and integrity based on location. The obtained results show that the proposed protocol is more efficient if compared to related works, as less cryptographic operations are required.