Edge intelligence is an emerging concept referring to processes in which data are collected and analyzed insights delivered close where the captured a network using selection of advanced intelligent technologies. As promising solution solve problems insufficient computing capacity transmission latency, edge intelligence-empowered Internet Vehicles (IoV) being widely investigated both academia industry. However, sharing security IoV challenge that should be solved with priority. Although...

The drone's open and untrusted environment may create problems for authentication data sharing. To address this issue, we propose a blockchain-enabled efficient secure sharing model 5G flying drones. In model, blockchain attribute-based encryption (ABE) are applied to ensure the security of instruction issues mechanism in employs smart contract access control, public key cryptography providing accounts ensuring accounts' security, distributed ledger audit. addition, speed up out-sourced...

While 5G can facilitate high-speed Internet access and make over-the-horizon control a reality for unmanned aerial vehicles (UAVs; also known as drones), there are potential security privacy considerations, example, authentication among drones. Centralized approaches not only suffer from single point of failure but they incapable cross-domain authentication. This complicates the cooperation drones different domains. To address these limitations, blockchain-based scheme intelligent 5G-enabled...

Motivated by Industry 4.0, 5G-enabled unmanned aerial vehicles (UAVs; also known as drones) are widely applied in various industries. However, the open nature of 5G networks threatens safe sharing data. In particular, privacy leakage can lead to serious losses for users. As a new machine learning paradigm, federated (FL) avoids allowing data models be shared instead raw Unfortunately, traditional FL framework is strongly dependent on centralized aggregation server, which will cause system...

The Internet of Health Things (IoHT) is a medical concept that describes uniquely identifiable devices connected to the can communicate with each other. As one most important components smart health monitoring and improvement systems, IoHT presents numerous challenges, among which cybersecurity priority. well-received security solution achieve fine-grained access control, ciphertext-policy weighted attribute-based encryption (CP-WABE) has potential ensure data in IoHT. However, many issues...

Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. Specifically, each decision made by an agent requires a complete network computation, leading to linear increase with number interactions and agents. Inspired human patterns, which involve reasoning only critical states continuous tasks without considering all states, we introduce...

Abstract Spatial reasoning in Large Language Models (LLMs) serves as a foundation for embodied intelligence. However, even simple maze environments, LLMs often struggle to plan correct paths due hallucination issues. To address this, we propose S2ERS , an LLM-based technique that integrates entity and relation extraction with the on-policy reinforcement learning algorithm Sarsa optimal path planning. We introduce three key improvements: (1) tackle of spatial, extract graph structure entities...

While 5G facilitates high-speed Internet access and makes over-the-horizon control a reality for unmanned aerial vehicles (UAVs), there are also potential security privacy considerations, example, authentication among drones. The centralized approaches not only suffer from single point of failure, but they incapable cross-domain authentication, which complicates the cooperation drones different domains. To address these challenges, we propose blockchain-based solution to achieve 5G-enabled...

P2P worms pose heavy threatens to networks. exploit common vulnerabilities in member hosts of a network and spread topologically the network, potentially more effective strategy than random scanning for locating victims. Considering that topology networks has important effect on active worm spreading, it is very difficult model propagation worms. For this reason, so far few models are proposed. In paper, we propose based discrete-time method. The analysis simulation results shows there...

As a kind of protocol for transferring files, the File Transferring Protocol (FTP) has already been widely used many years. However, there exist some secure vulnerabilities in protocol. For example, both passwords and files are transmitted plaintext. Although new FTPs such as FTPS have proposed applied to overcome these vulnerabilities, drawbacks lack flexibility use, failing meet specific security requirements, etc. Given facts, FTP its requirements studied deeply system is designed this...

Recent years, researchers have recognized the damage resulting from P2P worms, and some works on worms been done. However, compared with study of active worm propagation, passive propagation has less highlighted. Passive propagate slowly in Internet, but system can be a potential vehicle to fast worms. In this paper, we address issue by analyzing models networks is modeled mean-field method. The fact that theory values are consistence simulation shows these proposed valid used analyze...

Passive worms pose threats to mobile P2P(peer-to-peer) networks. To predict the tendency of propagation P2P passive and analyze their behaviors, it is necessary model worm propagation. In this paper, protocols networks features are studied. On basis, mathematical proposed in applying Epidemiology. For purpose examining effect P2P-related parameters on propagation, simulation experiments carried out. The results these show that different have among which average downloading rate recovery...

The characteristics of P2P networks bring great convenience for the users. Meanwhile, it causes also some security problems. It is an effective method response that reputation mechanism built in networks. In most existing models, global flooding and local query are used achieving information recommendation. inadvisable methods affect accuracy efficiency evaluating reputation. To make up lack a new trust evaluation model based on Ant Colony Algorithm proposed this paper. recommendation...

In P2P networks, the behavior of free-ride is growing. It causes negative impact on robustness and availability networks. The enthusiasm users should be guaranteed by containing free-riders. An allocation method resource based global reputation value proposed in this paper. weight recommender assigned through introduction cluster algorithm, values are synthesized iteration. Based value, problem summed up as a linear programming issue. can ensure peer with more contribution have priority to...

<title>Abstract</title> Spatial reasoning in Large Language Models (LLMs) serves as a foundation for embodied intelligence. However, even simple maze environments, LLMs often struggle to plan correct paths due hallucination issues. To address this, we propose S2ERS, an LLM-based technique that integrates entity and relation extraction with the on-policy reinforcement learning algorithm Sarsa optimal path planning. We introduce three key improvements: 1) tackle of spatial, extract graph...

Spatial reasoning in Large Language Models (LLMs) is the foundation for embodied intelligence. However, even simple maze environments, LLMs still encounter challenges long-term path-planning, primarily influenced by their spatial hallucination and context inconsistency reasoning. To address this challenge, study proposes an innovative model, Spatial-to-Relational Transformation Curriculum Q-Learning (S2RCQL). of LLMs, we propose approach, which transforms prompts into entity relations paths...

We analyse different worm and patch propagation models along with the ones we have developed evaluated as a part of our ongoing passive P2P & modelling project. This is followed by brief discussion on detection mechanisms proposed various authors. Towards very end this article, propose distributed framework for throttling in networks discuss its feasibility efficiency keeping view design considerations.

To counter the attacks of virus in P2P file-sharing networks, model propagation networks is proposed based on deep analysis features file sharing and propagation. In order to examine effects different parameters this model, large scale simulating experiments are carried out. The numerical impact P2P-relatedfactors such as number initially infected peers, downloading rate, recovery etc, shows that attack performance viruses very sensitive system parameters.