Aiming at the problem that the sparrow search algorithm (SSA) does not have high optimization accuracy and is prone to fall into local optimum, an improved sparrow search algorithm with adaptive multi-strategy hierarchical mechanism is proposed (...

In an era where machine learning critically underpins business operations, detecting vulnerabilities introduced by malicious code has become increasingly essential. Although prior research has extensively explored malicious code within machine ...

Blockchain is a distributed ledger that various applications can use to store data in a secure, decentralized, and immutable manner. The key piece in a blockchain is the consensus algorithm that different blockchain nodes run to obtain mutual ...

We have introduced group-driven strategies into the conventional remora optimization algorithm (ROA) and amalgamated regeneration strategies to further enhance the generalization ability. This proposed algorithm were termed the Group-Driven Remora ...

The 6G network suffers from large-scale botnet attacks due to the extensive scale and complexity of the network. To address security and communication overhead issues in IoT-Edge based 6G Networks, the next-generation IDS adopts edge intelligence ...

Multi-access edge computing (MEC) brings many services closer to user devices, alleviating the pressure on resource-constrained devices. It enables devices to offload compute-intensive tasks to nearby MEC servers. Hence, improving users’ quality ...

With the rise of Fifth-Generation (5 G) networks, smart applications are becoming increasingly computation-intensive and latency-sensitive. To address these challenges, this paper introduces a novel intelligent broker-based architecture to manage ...

Blockchain wallets use two primary key generation schemes: non-deterministic (ND) and hierarchical deterministic (HD). ND key generation scheme provides better fund distribution but has issues with backup complexity and memory utilization. HD key ...

Traffic congestion is a major challenge in modern transportation systems, leading to increased travel time, greater fuel consumption, and higher levels of harmful emissions. Accurate traffic congestion forecasting is crucial for effective traffic ...

Traffic forecasting plays an essential role in urban planning and traffic management. Nevertheless, the intricate spatio-temporal connections in traffic data make traffic prediction particularly tough. Although many traffic prediction methods have ...

The Beluga Whale Optimization (BWO) is a meta-heuristic algorithm that simulates the life behavior of beluga whales. Aiming at the shortcomings of the BWO, such as poor solution accuracy, insufficient robust performance, and weak ability to jump ...

In this work, we propose a method for solving large-scale multi-objective problems based on problem transformation strategy. The key point of this method lies in how to construct the search subspace. First, the algorithm obtains a set of direction ...

The Internet of Vehicles (IOV) represents the integration of the Internet of Things within the realm of smart transportation, serving as a crucial component of the intelligent transportation system. With the emergence of more and more mobile ...

Efficient processing of workflow applications (WAs) is crucial in edge computing environments to enhance efficiency, flexibility, collaboration, and cost savings. Workflow scheduling involves finding an optimal schedule for a group of sub-tasks ...

The End-Edge-Cloud (EEC) computing framework can offer low-latency, high-quality services to users of diverse demands by leveraging pervasive resources. However, the inherent disparities in task requirements and the strong heterogeneity of ...

Recent advancements in metaheuristic methods have enhanced the ability to identify global solutions by balancing exploration and exploitation. Among these, the Chernobyl Disaster Optimizer (CDO), introduced in 2023 and inspired by the Chernobyl ...

Reachability query is a fundamental operation in graph applications, including social network analysis, knowledge graph based NLP. Current label+G solutions tend to directly answer reachability queries between near vertices. When two vertices are ...

In this paper, a dynamic distributed flexible job-shop scheduling problem considering uncertain processing time of operation (DDFJSPT) is proposed for the first time. A two-stage efficient memetic algorithm (EMA) is presented to solve the DDFJSPT ...

Edge computing systems face the challenges of node heterogeneity and task diversity, and their efficient operation relies on suitable task scheduling methods. Existing task scheduling methods have the problems of difficult application conditions ...