Ashraf S. Mashaleh^1,2,*, Noor Farizah Binti Ibrahim¹, Mohammad Alauthman³, Mohammad Almseidin⁴, Amjad Gawanmeh⁵

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.047323

Abstract Increasing Internet of Things (IoT) device connectivity makes botnet attacks more dangerous, carrying catastrophic hazards. As IoT botnets evolve, their dynamic and multifaceted nature hampers conventional detection methods. This paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization (PSO) to address the risks associated with IoT botnets. Fuzzy logic addresses IoT threat uncertainties and ambiguities methodically. Fuzzy component settings are optimized using PSO to improve accuracy. The methodology allows for more complex thinking by transitioning from binary to continuous assessment. Instead of expert inputs, PSO data-driven tunes rules and membership functions. This study presents a… More >

S. Abinaya^*, K. Uttej Kumar

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047167

Abstract A Recommender System (RS) is a crucial part of several firms, particularly those involved in e-commerce. In conventional RS, a user may only offer a single rating for an item-that is insufficient to perceive consumer preferences. Nowadays, businesses in industries like e-learning and tourism enable customers to rate a product using a variety of factors to comprehend customers’ preferences. On the other hand, the collaborative filtering (CF) algorithm utilizing AutoEncoder (AE) is seen to be effective in identifying user-interested items. However, the cost of these computations increases nonlinearly as the number of items and users increases. To triumph over the… More >

Shiyan Zhang^1,*, Ruohan Xu², Zhangbo Xu³, Cenhua Yu¹, Yuyang Jiang¹, Yuting Zhao⁴

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.046550

Abstract The 6th generation mobile networks (6G) network is a kind of multi-network interconnection and multi-scenario coexistence network, where multiple network domains break the original fixed boundaries to form connections and convergence. In this paper, with the optimization objective of maximizing network utility while ensuring flows performance-centric weighted fairness, this paper designs a reinforcement learning-based cloud-edge autonomous multi-domain data center network architecture that achieves single-domain autonomy and multi-domain collaboration. Due to the conflict between the utility of different flows, the bandwidth fairness allocation problem for various types of flows is formulated by considering different defined reward functions. Regarding the tradeoff between… More >

Huixiang Xu^*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.046253

Abstract The Internet of Things (IoT) has revolutionized how we interact with and gather data from our surrounding environment. IoT devices with various sensors and actuators generate vast amounts of data that can be harnessed to derive valuable insights. The rapid proliferation of Internet of Things (IoT) devices has ushered in an era of unprecedented data generation and connectivity. These IoT devices, equipped with many sensors and actuators, continuously produce vast volumes of data. However, the conventional approach of transmitting all this data to centralized cloud infrastructures for processing and analysis poses significant challenges. However, transmitting all this data to a… More >

Zhaolin Lv¹, Yuexia Zhao², Hongyue Kang^3,*, Zhenyu Gao³, Yuhang Qin⁴

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.045826

Abstract Flexible job shop scheduling problem (FJSP) is the core decision-making problem of intelligent manufacturing production management. The Harris hawk optimization (HHO) algorithm, as a typical metaheuristic algorithm, has been widely employed to solve scheduling problems. However, HHO suffers from premature convergence when solving NP-hard problems. Therefore, this paper proposes an improved HHO algorithm (GNHHO) to solve the FJSP. GNHHO introduces an elitism strategy, a chaotic mechanism, a nonlinear escaping energy update strategy, and a Gaussian random walk strategy to prevent premature convergence. A flexible job shop scheduling model is constructed, and the static and dynamic FJSP is investigated to minimize… More >

Cai Ming Liu^1,2,3, Yan Zhang^1,2,*, Zhihui Hu^1,2, Chunming Xie¹

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.045282

Abstract Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection methods. This paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching method. The proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune elements. Then, to improve the accuracy of similarity calculation, a quantitative matching method is proposed. The model uses mathematical methods to train and evolve immune elements, increasing the diversity of… More >

Ruchun Jia, Jianwei Zhang^*, Yi Lin

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.044149

Abstract With the popularization of the Internet and the development of technology, cyber threats are increasing day by day. Threats such as malware, hacking, and data breaches have had a serious impact on cybersecurity. The network security environment in the era of big data presents the characteristics of large amounts of data, high diversity, and high real-time requirements. Traditional security defense methods and tools have been unable to cope with the complex and changing network security threats. This paper proposes a machine-learning security defense algorithm based on metadata association features. Emphasize control over unauthorized users through privacy, integrity, and availability. The… More >

MIN SHEN^1,2, XIAOMAN XU^1,2, GUANGLING SUN¹, LIANGZHU WANG¹, TAO YING¹, HANG SU¹, WEI WANG¹, QINGHUA CAO^1,*, ZHEZHE SUN^1,*

BIOCELL, Vol., , DOI:10.32604/biocell.2023.047640

Abstract Objective: Circular RNAs (circRNAs) have been shown to involve in pathological processes of ischemic stroke (IS), including autophagy. This study was designed to explore the effect of circR-ZC3HC1 on neuronal autophagy in IS and the related mechanisms. Methods: Expression of circR-ZC3HC1 in blood samples of IS patients and healthy controls was detected. Hippocampal neurons were treated with oxygen and glucose deprivation (OGD) to establish IS in vitro model. The expression of LC3 and p62 and the number of autophagosomes were examined to evaluate the autophagy level of OGD induced neurons using western blotting and transmission electron microscope. Cell apoptosis rate… More >

YANG XU^1,#, HONGYUN LI^1,#, GE YOU^2,*

BIOCELL, Vol., , DOI:10.32604/biocell.2023.045030

Abstract Background: Colorectal cancer (CRC) constitutes the leading cause of death worldwide. Chemoresistance and tumor immune evasion are critical contributors to therapeutic failure in cancer patients. CKLF-like MARVEL transmembrane domain-containing 6 (CMTM6) is aberrantly expressed in various cancers and can regulate tumor immunity. However, its role in chemoresistance and tumor immunity of CRC is not well understood. Methods: Online bioinformatics tools were used to analyze expression and prognosis of CMTM6 in CRC patients. CRC cells were transfected with si-CMTM6. Subsequently, the effects on CRC cell viability and chemoresistance were investigated by CCK-8 assay and flow cytometer. Furthermore, CRC cell-induced macrophage recruitments… More > Graphic Abstract

WEI ZHENG¹, CHENG LIU^2,*

BIOCELL, Vol., , DOI:10.32604/biocell.2023.044211

Abstract Objective: Intracranial aneurysm (IA) represents a devastating disease with high rates of disability and mortality, which is initiated by dysfunction of endothelial cells (ECs). Evidence suggests the dysregulation of the E3 ubiquitin ligase family during EC injury. In this work, the role of an E3 ubiquitin ligase, casitas B lymphoma-B (CBL-B), was explored in human brain microvascular EC (HBMEC) function through the NLRP3 pathway. Methods: In vitro IA model was induced by treating HBMECs with oxidized low-density lipoprotein (ox-LDL). The levels of CBL-B and pyroptosis-related proteins NLRP3, ASC, cleaved caspase-1, and GSDME-N were determined by real-time-quantitative polymerase chain reaction and… More >