Hira Akhtar Butt¹, Khoula Said Al Harthy², Mumtaz Ali Shah³, Mudassar Hussain^2,*, Rashid Amin^4,*, Mujeeb Ur Rehman¹

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3003-3031, 2024, DOI:10.32604/cmc.2024.057185 - 18 November 2024

Abstract Detecting sophisticated cyberattacks, mainly Distributed Denial of Service (DDoS) attacks, with unexpected patterns remains challenging in modern networks. Traditional detection systems often struggle to mitigate such attacks in conventional and software-defined networking (SDN) environments. While Machine Learning (ML) models can distinguish between benign and malicious traffic, their limited feature scope hinders the detection of new zero-day or low-rate DDoS attacks requiring frequent retraining. In this paper, we propose a novel DDoS detection framework that combines Machine Learning (ML) and Ensemble Learning (EL) techniques to improve DDoS attack detection and mitigation in SDN environments. Our model… More >

Jinlin Xu^1,2, Wansu Pan^1,*, Haibo Tan^1,2, Longle Cheng¹, Xiaofeng Li^1,2

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2709-2726, 2024, DOI:10.32604/cmc.2024.056925 - 18 November 2024

Abstract The traffic within data centers exhibits bursts and unpredictable patterns. This rapid growth in network traffic has two consequences: it surpasses the inherent capacity of the network’s link bandwidth and creates an imbalanced network load. Consequently, persistent overload situations eventually result in network congestion. The Software Defined Network (SDN) technology is employed in data centers as a network architecture to enhance performance. This paper introduces an adaptive congestion control strategy, named DA-DCTCP, for SDN-based Data Centers. It incorporates Explicit Congestion Notification (ECN) and Round-Trip Time (RTT) to establish congestion awareness and an ECN marking model.… More >

Shanjita Akter Prome¹, Md Rafiqul Islam^2,*, Md. Kowsar Hossain Sakib¹, David Asirvatham¹, Neethiahnanthan Ari Ragavan³, Cesar Sanin², Edward Szczerbicki⁴

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2845-2871, 2024, DOI:10.32604/cmc.2024.055311 - 18 November 2024

Abstract Deception detection is regarded as a concern for everyone in their daily lives and affects social interactions. The human face is a rich source of data that offers trustworthy markers of deception. The deception or lie detection systems are non-intrusive, cost-effective, and mobile by identifying facial expressions. Over the last decade, numerous studies have been conducted on deception detection using several advanced techniques. Researchers have focused their attention on inventing more effective and efficient solutions for the detection of deception. So, it could be challenging to spot trends, practical approaches, gaps, and chances for contribution.… More >

Muhammad Tashfeen¹, Fazal Dayan¹, Muhammad Aziz ur Rehman¹, Thabet Abdeljawad^2,3,4,5,*, Aiman Mukheimer²

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2527-2554, 2024, DOI:10.32604/cmes.2024.056269 - 31 October 2024

Abstract Foot-and-mouth disease (FMD) is a viral disease that affects cloven-hoofed animals including cattle, pigs, and sheep, hence causing export bans among others, causing high economic losses due to reduced productivity. The global effect of FMD is most felt where livestock rearing forms an important source of income. It is therefore important to understand the modes of transmission of FMD to control its spread and prevent its occurrence. This work intends to address these dynamics by including the efficacy of active migrant animals transporting the disease from one area to another in a fuzzy mathematical modeling… More >

Can Kang^1,*, Shifeng Yan¹, Haixia Liu², Jie Chen², Kejin Ding³

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2431-2442, 2024, DOI:10.32604/fdmp.2024.055688 - 28 October 2024

Abstract The presented study aims to reveal the effect of liquid temperature on cavitation-induced erosion of an Al-Mg alloy. An experimental work was conducted using a submerged cavitating waterjet to impact the specimen surface. For a certain cavitation number and a given standoff distance, different liquid temperatures were considered. Accordingly, a comprehensive comparison was implemented by inspecting the mass loss and surface morphology of the tested specimens. The results show that the cumulative mass loss increases continuously with the liquid temperature. A cavitation zone with an irregular profile becomes evident as the cavitation treatment proceeds. Increasing More > Graphic Abstract

RONG LIU^1,#, SHENG LI^2,#, SITU XIONG², FUCUN ZHENG², XIANGPENG ZHAN², JIN ZENG², BIN FU², SONGHUI XU², SHAOXING ZHU^1,*, RU CHEN^1,*

Oncology Research, Vol.32, No.11, pp. 1733-1746, 2024, DOI:10.32604/or.2024.050851 - 16 October 2024

Abstract EVI2A has emerged as a significant biomarker in various diseases; however, its biological role and mechanism in kidney renal clear cell carcinoma (KIRC) remains unexplored. We used TCGA and GEO databases to analyze EVI2A gene expression comprehensively and performed pan-cancer assessments. Clinical relevance was evaluated through Kaplan-Meier analysis and ROC curves. The gene’s immune relevance was explored through analyses of the tumor microenvironment (TME), Tumor Immune Single-cell Hub (TISCH), immune checkpoints, and immunotherapy sensitivity. Our results indicate that EVI2A expression is upregulated in KIRC, showing correlations with tumor grade and T/N/M stage. EVI2A demonstrates high… More >

HYEON JU LEE¹, CHANG SEOP LEE¹, SI HOON KIM¹, SOOKYUNG KIM¹, JEONG MI KIM¹, SUN-WHA IM¹, YU-JIN JUNG², SEUNG-PYO HONG³, HYUNJUNG LEE³, JONG-IL KIM^3,4,5, JEONG A. HAN^1,*

BIOCELL, Vol.48, No.10, pp. 1455-1464, 2024, DOI:10.32604/biocell.2024.054538 - 02 October 2024

Abstract Objective: Transformation from normal cells to malignant cells is the basis for tumorigenesis. While this cell transformation is known to result from aberrant activation or inactivation of associated genes, these genes have not yet been fully identified. In addition, DNAJs, proteins with a J domain, are known to be molecular co-chaperones, but their cellular functions remain largely unexplored. In this context, we here identified DNAJA4, DNAJB11, and DNAJC10 as pro-transforming genes and elucidated their action mechanisms. Methods: Senescence-associated (SA)-β-galactosidase staining and western blotting were used to analyze cellular senescence and protein expression. Soft agar assay was used… More >

YU TANG¹, WENXIAO HU^2,*, YAJUN PENG¹, XIANGDONG LING²

BIOCELL, Vol.48, No.10, pp. 1503-1516, 2024, DOI:10.32604/biocell.2024.052692 - 02 October 2024

Abstract Background: Podocyte injury is crucial in diabetic kidney disease (DKD) progression, and the mechanism remains unclear. The previous studies indicated Diosgenin played a key role in inhibiting podocyte injury progression. However, more research is needed to explore Diosgenin in inhibiting-molecular mechanisms in the process of podocyte injury. Methods: The content of Diosgenin in HeShenwan was detected by High-Performance Liquid Chromatography-mass spectrometry (HPLC-MS) method. The podocyte injury model was constructed by high glucose (HG)-induced mpc5 cells. The Cell Counting Kit-8 (CCK-8) assay was utilized to evaluate the activity of mpc5 cells. Pyroptosis in mpc5 cells was… More > Graphic Abstract

Aljuaid Turkea Ayedh M^1,2,*, Ainuddin Wahid Abdul Wahab^1,*, Mohd Yamani Idna Idris^1,3

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4663-4686, 2024, DOI:10.32604/cmc.2024.055287 - 12 September 2024

Abstract Organizations are adopting the Bring Your Own Device (BYOD) concept to enhance productivity and reduce expenses. However, this trend introduces security challenges, such as unauthorized access. Traditional access control systems, such as Attribute-Based Access Control (ABAC) and Role-Based Access Control (RBAC), are limited in their ability to enforce access decisions due to the variability and dynamism of attributes related to users and resources. This paper proposes a method for enforcing access decisions that is adaptable and dynamic, based on multilayer hybrid deep learning techniques, particularly the Tabular Deep Neural Network TabularDNN method. This technique transforms… More >

Muhammad Dawood¹, Shanshan Tu¹, Chuangbai Xiao¹, Muhammad Haris², Hisham Alasmary³, Muhammad Waqas^4,5,*, Sadaqat Ur Rehman⁶

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4513-4542, 2024, DOI:10.32604/cmc.2024.050049 - 12 September 2024

Abstract The DNS over HTTPS (Hypertext Transfer Protocol Secure) (DoH) is a new technology that encrypts DNS traffic, enhancing the privacy and security of end-users. However, the adoption of DoH is still facing several research challenges, such as ensuring security, compatibility, standardization, performance, privacy, and increasing user awareness. DoH significantly impacts network security, including better end-user privacy and security, challenges for network security professionals, increasing usage of encrypted malware communication, and difficulty adapting DNS-based security measures. Therefore, it is important to understand the impact of DoH on network security and develop new privacy-preserving techniques to allow More >