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  • Open Access

    ARTICLE

    EsECC_SDN: Attack Detection and Classification Model for MANET

    Veera Ankalu Vuyyuru1, Youseef Alotaibi2, Neenavath Veeraiah3,*, Saleh Alghamdi4, Korimilli Sirisha5

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6665-6688, 2023, DOI:10.32604/cmc.2023.032140

    Abstract Mobile Ad Hoc Networks (MANET) is the framework for social networking with a realistic framework. In the MANET environment, based on the query, information is transmitted between the sender and receiver. In the MANET network, the nodes within the communication range are involved in data transmission. Even the nodes that lie outside of the communication range are involved in the transmission of relay messages. However, due to the openness and frequent mobility of nodes, they are subjected to the vast range of security threats in MANET. Hence, it is necessary to develop an appropriate security mechanism for the data MANET… More >

  • Open Access

    ARTICLE

    DNA Computing with Water Strider Based Vector Quantization for Data Storage Systems

    A. Arokiaraj Jovith1, S. Rama Sree2, Gudikandhula Narasimha Rao3, K. Vijaya Kumar4, Woong Cho5, Gyanendra Prasad Joshi6, Sung Won Kim7,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6429-6444, 2023, DOI:10.32604/cmc.2023.031817

    Abstract The exponential growth of data necessitates an effective data storage scheme, which helps to effectively manage the large quantity of data. To accomplish this, Deoxyribonucleic Acid (DNA) digital data storage process can be employed, which encodes and decodes binary data to and from synthesized strands of DNA. Vector quantization (VQ) is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression efficiency. This article introduces a new DNA Computing with Water Strider Algorithm based Vector Quantization (DNAC-WSAVQ) technique for Data Storage Systems. The proposed DNAC-WSAVQ technique enables encoding data using… More >

  • Open Access

    ARTICLE

    A Novel Secure Scan Design Based on Delayed Physical Unclonable Function

    Weizheng Wang1,2, Xingxing Gong1, Xiangqi Wang3, Gwang-jun Kim4,*, Fayez Alqahtani5, Amr Tolba6

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6605-6622, 2023, DOI:10.32604/cmc.2023.031617

    Abstract The advanced integrated circuits have been widely used in various situations including the Internet of Things, wireless communication, etc. But its manufacturing process exists unreliability, so cryptographic chips must be rigorously tested. Due to scan testing provides high test coverage, it is applied to the testing of cryptographic integrated circuits. However, while providing good controllability and observability, it also provides attackers with a backdoor to steal keys. In the text, a novel protection scheme is put forward to resist scan-based attacks, in which we first use the responses generated by a strong physical unclonable function circuit to solidify fuse-antifuse structures… More >

  • Open Access

    ARTICLE

    Smart Contract to Traceability of Food Social Selling

    Cristian Valencia-Payan*, José Fernando Grass-Ramírez, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4703-4728, 2023, DOI:10.32604/cmc.2023.031554

    Abstract Traditionally, food sustainability has been considered solely in the stage of agricultural production. However, globalization, the expansion of the food production industry, and the emergence of supermarket chains that control the retail food market require specific significant changes in supply chains in the food sector and, therefore, we need to address the economic, social, and environmental impacts of these events. On the other hand, social selling has increased rapidly in recent years, with a further boom, following current events related to the coronavirus disease (COVID-19). This explosion of social sales, where there are usually no control and regulation entities, can… More >

  • Open Access

    ARTICLE

    Measuring Reliability of A Web Portal Based on Testing Profile

    Malik Muhammad Ali Shahid1, Shahida Sulaiman2, Mohammed Al-Sarem3,4, Aqeel Ur Rahman1, Salman Iqbal1, Rab Nawaz Bashir1, Arfat Ahmad Khan5,6, Momen M. Alrawi7, Rashiq R. Marie8, Settawit Poochaya5,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6641-6663, 2023, DOI:10.32604/cmc.2023.031459

    Abstract

    Conventionally, the reliability of a web portal is validated with generalized conventional methods, but they fail to provide the desired results. Therefore, we need to include other quality factors that affect reliability such as usability for improving the reliability in addition to the conventional reliability testing. Actually, the primary objectives of web portals are to provide interactive integration of multiple functions confirming diverse requirements in an efficient way. In this paper, we employ testing profiles to measure the reliability through software operational profile, input space profile and usability profile along with qualitative measures of reliability and usability. Moreover, the case… More >

  • Open Access

    ARTICLE

    CLGA Net: Cross Layer Gated Attention Network for Image Dehazing

    Shengchun Wang1, Baoxuan Huang1, Tsz Ho Wong2, Jingui Huang1,*, Hong Deng1

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4667-4684, 2023, DOI:10.32604/cmc.2023.031444

    Abstract In this paper, we propose an end-to-end cross-layer gated attention network (CLGA-Net) to directly restore fog-free images. Compared with the previous dehazing network, the dehazing model presented in this paper uses the smooth cavity convolution and local residual module as the feature extractor, combined with the channel attention mechanism, to better extract the restored features. A large amount of experimental data proves that the defogging model proposed in this paper is superior to previous defogging technologies in terms of structure similarity index (SSIM), peak signal to noise ratio (PSNR) and subjective visual quality. In order to improve the efficiency of… More >

  • Open Access

    ARTICLE

    Test Case Prioritization in Unit and Integration Testing: A Shuffled-Frog-Leaping Approach

    Atulya Gupta*, Rajendra Prasad Mahapatra

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5369-5387, 2023, DOI:10.32604/cmc.2023.031261

    Abstract Both unit and integration testing are incredibly crucial for almost any software application because each of them operates a distinct process to examine the product. Due to resource constraints, when software is subjected to modifications, the drastic increase in the count of test cases forces the testers to opt for a test optimization strategy. One such strategy is test case prioritization (TCP). Existing works have propounded various methodologies that re-order the system-level test cases intending to boost either the fault detection capabilities or the coverage efficacy at the earliest. Nonetheless, singularity in objective functions and the lack of dissimilitude among… More >

  • Open Access

    ARTICLE

    Resource Exhaustion Attack Detection Scheme for WLAN Using Artificial Neural Network

    Abdallah Elhigazi Abdallah1, Mosab Hamdan2, Shukor Abd Razak3, Fuad A. Ghalib3, Muzaffar Hamzah2,*, Suleman Khan4, Siddiq Ahmed Babikir Ali5, Mutaz H. H. Khairi1, Sayeed Salih6

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5607-5623, 2023, DOI:10.32604/cmc.2023.031047

    Abstract IEEE 802.11 Wi-Fi networks are prone to many denial of service (DoS) attacks due to vulnerabilities at the media access control (MAC) layer of the 802.11 protocol. Due to the data transmission nature of the wireless local area network (WLAN) through radio waves, its communication is exposed to the possibility of being attacked by illegitimate users. Moreover, the security design of the wireless structure is vulnerable to versatile attacks. For example, the attacker can imitate genuine features, rendering classification-based methods inaccurate in differentiating between real and false messages. Although many security standards have been proposed over the last decades to… More >

  • Open Access

    ARTICLE

    Salp Swarm Algorithm with Multilevel Thresholding Based Brain Tumor Segmentation Model

    Hanan T. Halawani*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6775-6788, 2023, DOI:10.32604/cmc.2023.030814

    Abstract Biomedical image processing acts as an essential part of several medical applications in supporting computer aided disease diagnosis. Magnetic Resonance Image (MRI) is a commonly utilized imaging tool used to save glioma for clinical examination. Biomedical image segmentation plays a vital role in healthcare decision making process which also helps to identify the affected regions in the MRI. Though numerous segmentation models are available in the literature, it is still needed to develop effective segmentation models for BT. This study develops a salp swarm algorithm with multi-level thresholding based brain tumor segmentation (SSAMLT-BTS) model. The presented SSAMLT-BTS model initially employs… More >

  • Open Access

    ARTICLE

    Intelligent Deep Learning Based Cybersecurity Phishing Email Detection and Classification

    R. Brindha1, S. Nandagopal2, H. Azath3, V. Sathana4, Gyanendra Prasad Joshi5, Sung Won Kim6,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5901-5914, 2023, DOI:10.32604/cmc.2023.030784

    Abstract Phishing is a type of cybercrime in which cyber-attackers pose themselves as authorized persons or entities and hack the victims’ sensitive data. E-mails, instant messages and phone calls are some of the common modes used in cyberattacks. Though the security models are continuously upgraded to prevent cyberattacks, hackers find innovative ways to target the victims. In this background, there is a drastic increase observed in the number of phishing emails sent to potential targets. This scenario necessitates the importance of designing an effective classification model. Though numerous conventional models are available in the literature for proficient classification of phishing emails,… More >

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