Group Key Management Research Articles

A Lightweight PUF-Based Protocol for Dynamic and Secure Group Key Management in IoT

A Lightweight PUF-Based Protocol for Dynamic and Secure Group Key Management in IoT

Advancing IoT security with flame: A hybrid approach combining fuzzy logic and artificial lizard search optimization

The increasing usage of Internet of Things (IoT) devices has created a need for secure and efficient solutions to protect sensitive data from unauthorized access. However, the complicated and massive structure of IoT systems poses various security risks and challenges, especially in dynamic scenarios with high signaling overhead caused by subscriber mobility. So, in this paper, a Fuzzy-based Lightweight Authentication and Management of Encryption approach called ‘FLAME’ is proposed to solve the decentralized lightweight group key management problem by measuring the degree of security using fuzzy logic (FL) based on various factors like device and user behavior, network conditions, and resource availability. For effective key-based authentication, adopted an Artificial Lizard Search Optimization (ALSO) based RSA (Rivest, Shamir, Adleman) algorithm that generates private and public keys based on security evaluation outcome. The publishers and subscribers obtain encryption keys from the group key manager based on their security level, and dissemination is optimized by the ALSO algorithm. By leveraging the FL and ALSO based RSA algorithm, the system offers secure communication with limited utilization and protects confidential data in IoT environments. According to the analysis, results signify that the FLAME approach has a faster key generation, dissemination, and revocation time compared to existing approaches, along with reduced overhead during key management operations, and increased attack detection capacity of 98.7 %.

Distributed Group Key Management Based on Blockchain

Distributed Group Key Management Based on Blockchain

Robust and Secure Routing Protocol Based on Group Key Management for Internet of Things Systems

Robust and Secure Routing Protocol Based on Group Key Management for Internet of Things Systems

Enhancing Cloud Storage Security in Big Data: A Comprehensive Data Sharing Protocol

A cloud based system gives advantage of a storage facility provided by a cloud service provider for exchange of data with authorised users. cloud providers store shared data in huge data centres outside the data owner's trust zone, which may raise the issue of data confidentiality. Number of parties, devices, app in cloud increases so number of access point also increases and making perfect access access control is challenging, so cloud data subject to being deleted or can be modified by cloud service provider. This article offers a secret sharing group key management protocol (SSGK) to prevent unwanted access in the communication process and shared data. in SSGK, group key is utilised to encrypt the shared data, and a secret sharing mechanism is employed to distribute the group key. security and performance evaluations show that our approach significantly reduces the security and privacy concerns of data sharing in cloud storage. Keywords : Big data, Security and Privacy, Cloud Storage, Data Sharing, Encryption, Decryption.

Group Key Management Protocols for Non-Network: A Survey

The phenomenal rise of the Internet in recent years, as well as the expansion of capacity in today's networks, have provided both inspiration and incentive for the development of new services that combine phone, video, and text "over IP." Although unicast communications have been prevalent in the past, there is an increasing demand for multicast communications from both Internet Service Providers (ISPs) and content or media providers and distributors. Indeed, multicasting is increasingly being used as a green verbal exchange mechanism for institution-oriented programmers on the Internet, such as video conferencing, interactive college games, video on demand (VoD), TV over the Internet, e-learning, software programme updates, database replication, and broadcasting inventory charges. However, the lack of security within the multicast verbal exchange model prevents the effective and large-scale adoption of such important company multi-celebration activities. This situation prompted a slew of research projects that addressed a variety of issues related to multicast security, including confidentiality, authentication, watermarking, and access control. These issues should be viewed within the context of the safety regulations that work in the specific conditions. For example, in a public inventory charge broadcast, while identification is a vital necessity, secrecy is not. In contrast, video-convention programme requires both identification and confidentiality. This study gives a complete examination and comparison of the issues of group key management. Both network-dependent and network-independent approaches are used. The study also addresses the advantages, disadvantages, and security problems of various protocols.

Securing Internet of Things Applications Using Software-Defined Network-Aided Group Key Management with a Modified One-Way Function Tree

Securing Internet of Things Applications Using Software-Defined Network-Aided Group Key Management with a Modified One-Way Function Tree

Re-keying analysis in group key management of wireless sensor networks

Re-keying analysis in group key management of wireless sensor networks

Blockchain-Based Group Key Management Scheme for IoT With Anonymity of Group Members

Blockchain-Based Group Key Management Scheme for IoT With Anonymity of Group Members

DeGKM: Decentralized Group Key Management for Content Push in Integrated Networks

DeGKM: Decentralized Group Key Management for Content Push in Integrated Networks

A survey on optimization-based approaches to Dynamic Centralized Group Key management

Abstract—In secure multicast communication, only authorized group members are able to receive the transmitted data. Key generation, distribution, and management are all carried out by a single entity (called the Key Server) in the centralized system. The main challenges of a dynamic centralized group key management scheme include scalability overhead, rekeying overhead, storage overhead, maintaining forward and backward secrecy, etc. Logical Key Hierarchy (LKH), one of the key management methods, uses a tree structure to manage keys to share with participants. Due to the fact that members may join or exit the group at any time during communication, a crucial problem in centralized group key management (CGKM) is minimizing rekeying costs while maintaining a balanced tree. The majority of CGKM methods effectively update the group key by modifying cryptographic techniques or based on logical/heuristic arguments. One of the efficient approaches is based on an optimization model with the two mentioned important objectives. In this paper, we conduct a survey on optimization-based approaches to dynamic CGKM, which can be divided into two categories based on logical/heuristic arguments and a rigorous mathematical optimization model.

MDROGWL: modified deep reinforcement oppositional wolf learning for group key management in IoT environment

MDROGWL: modified deep reinforcement oppositional wolf learning for group key management in IoT environment

Group key management in the Internet of Things: Handling asynchronicity

Internet of Things (IoT) devices have permeated our immediate surroundings, becoming ubiquitous. These devices engage in continuous communication, with a significant aspect being group communications. Indeed, the latter are often more efficient than one-to-one interactions, rendering them well-suited for applications like e-health, federated learning, and military systems. However, security plays a pivotal role in these group communications, especially in safeguarding data confidentiality and user privacy. In this context, group key management protocols offer a mechanism for establishing shared group keys and updating them when needed. Nonetheless, the inherently asynchronous nature of IoT devices has proven to be a challenge. IoT devices are susceptible to unexpectedly entering an offline mode due to factors such as battery depletion, energy conservation, or loss of wireless connectivity. Consequently, the establishment of a group key for secure communications becomes a complex task. In this paper, we introduce an innovative approach to establishing group credentials asynchronously while ensuring robust security attributes, including Perfect Forward Secrecy (PFS) and Post-compromise Security (PCS). Our protocol is designed around blockchain technology, specifically smart contracts to embrace the distributed nature of IoT. Additionally, we incorporate a reputation-based mechanism to address the heterogeneity of IoT devices in terms of resource disparity. Evaluation results demonstrate the feasibility of our approach, along with reasonable performances.

SWEEPER: Secure Waterfall Energy-Efficient Protocol-Enabled Routing in FANET

The recent advancements in ad-hoc networks have resulted in innovations like FANETs. FANETs (Flying Ad hoc Networks) have become diversified in its applications ranging from agriculture, military, emergency services etc. The FANET environment needs to be dynamic and is populated by UAVs. The highly mobile UAVs are responsible for data transmission between nodes. If unchecked, this results in packet loss. Reliable data transmission in FANETs is possible, if effective routing protocols are in place. In this research, a Secure Waterfall Energy-Efficient Protocol-Enabled Routing (SWEEPER) has been proposed which helps conserve the node energy throughout the transmission process. The framework uses a waterfall model approach which includes group key management as an underlying process governing the security aspect of the protocol. Asymmetric key cryptography is applied to our technique, which involves two unique nodes, labeled the Computed Key (CKey) and the Dissemination Key (DKey). The two nodes will generate, verify, and distribute the secret keys. This will help other nodes concentrate on transmission alone and needn’t waste time in computational activities or key handling. Security breaches and malignant nodes are also handled efficiently. The nodes along the route are selected based on a trust factor, which allows our protocol to select only genuine nodes to forward packets along the discovered path. Our work is analyzed with existing protocols of FANETS like SecRIP and MDRMA. The analysis reveals that our protocol outperforms the existing protocols in terms of minimal delay, maximum energy conservation and PDR, which contributes towards a maximized throughput.

Retracted: HGKM: An Efficient Hybrid Group Key Management for Unmanned Autonomous Vehicles MBN in Wireless Network Environment

Retracted: HGKM: An Efficient Hybrid Group Key Management for Unmanned Autonomous Vehicles MBN in Wireless Network Environment

Lightweight and Anonymous Group Authentication Scheme Based on PUF in the Smart Grid

<p>As a new generation of electricity system, smart grid significantly improves electricity services’ efficiency, reliability, and sustainability. The smart meters, which are the essential terminals, help establish two-way communication between users and electricity providers. While enjoying the convenience of smart meters, users face many challenges. On the one hand, malicious adversaries could attack the smart meters and thus steal the users’ privacy. On the other hand, the computational overhead of electricity data verification is high for lightweight smart meters. To address above issues, a lightweight authentication and group key management scheme is proposed. In the proposed scheme, the physical properties of the Physical Unclonable Function (PUF) are exploited to defend against external attacks from adversaries. Moreover, the Chinese Remainder Theorem (CRT) is used to broadcast the updated group keys for the legitimate smart meters in the community. In addition, the aggregated signature is utilized to reduce the overhead of the data verification. Finally, the Random Oracle Model (ROM) is used to demonstrate that the proposed scheme meets many security requirements. Performance analysis shows that the proposed scheme is more suitable for smart grid compared to previous schemes.</p> <p> </p>

SED-SGC: A scalable, efficient, and distributed secure group communication scheme based on superlattice PUF

A critical challenge in group communication is to guarantee the authenticity, integrity, and confidentiality of sensitive data, especially in scenarios with potential and prospective massive device access, such as the Internet of Everything (IoE). This paper explores a scalable, efficient, distributed secure group communication (SED-SGC) scheme that employs superlattice Physical Unclonable Function (PUF), tree structure, and the Decision Diffie–Hellman Problem. In SED-SGC, superlattice PUF facilitates lightweight, high-security mutual authentication and key generation. The Decision Diffie–Hellman Problem and tree structure construct group key agreement and dynamic member management protocol with logarithmic complexity, achieving forward and backward secrecy. Also, we demonstrate that SED-SGC can effectively guarantee security against multiple attack methods such as collusion attacks, man-in-the-middle attacks (MITM), and impersonation attacks.

A Trust-Based Group Key Management Protocol for Non-Networks

In this paper, a secure and trust-based group key management protocol (GKMP) is presented for non-networks such as MANET/VANET. The scheme provides secure communication for group members in a dynamic network environment and does not restrict the users (registered or non-registered), allowing for flexible group communication. The proposed scheme is designed to address the challenges of key distribution, secure grouping, and secure communication. For result evaluation, first of all formal and informal security analysis was done and then compared with existing protocols. The proposed trust-based GKMP protocol satisfies the authentication, confidentiality of messages, forward/backward security concurrently as well as shows robustness in terms of packet delivery ratio and throughput.

A Critical Study on Group Key Management Protocols and Security Aspects For Non-Networks

The rise in internet usage and advanced communication systems has led to an increase in security issues. The need for more robust and flexible secure communication has led to the introduction of mobile non-network multicast communication systems like MANET or VANET. Multicasting is increasingly being used for group-oriented applications such as video conferencing, interactive games, TV over Internet, e-learning, etc. To address the security concerns, this paper highlighted the confidentiality, authentication, and access control for non-network multicast communication systems like MANET or VANET. For this, paper explores the group key management protocols. The paper concluded that centralized and asymmetric group key management protocol (GKMP) is most effective for designing secure, and efficient communication models for non-networks. The key findings of the paper are that in group key management protocols (GKMPs) for multicast communication systems adoption of asymmetric GKMPs provides better security, and reduces computational overhead. Therefore, this paper help to improve the robustness and security of multicast communication systems and meet the growing demands of group-oriented applications over the internet.

An Authenticated Group Shared Key Mechanism Based on a Combiner for Hash Functions over the Industrial Internet of Things

The Industrial Internet of Things (IIoT) provides internet connectivity for instruments, digital machines, and any other manufactured object to enable intelligent industrial operations to achieve high productivity. Securing communications between IIoT devices remains a critical and challenging issue due to the resource-constrained and processing capabilities of sensing devices. Moreover, the traditional group shared key might implement complex mathematical operations that are not suitable for the limited recourse capability of the IIoT device. Furthermore, the standard Diffie–Hellman (DH) and elliptic curve Diffie–Hellman (ECDH), which are the most suited for tiny devices, only work between a pair of IIoT devices, while they are not designed to work among a group of IIoT devices. This paper proposes an authenticated group shared key (AGSK) mechanism that allows a set of industrial objects to establish a common session key over the IIoT. The proposed AGSK utilizes the combiner for the hash function and digital signature, which is implemented in IIoT devices. Additionally, the random oracle model has been used to prove the security of AGSK, while the IIoT adversary model has been used to analyze the AGSK countermeasures against cyberattacks. The results of the performance evaluation showed that the efficiency of the AGSK was reduced by 41.3% for CPU computation time, 45.7% for storage cost, and 40% less power consumption compared to the baseline group key management algorithms.