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  • Open Access

    CASE REPORT

    Life Threatening Broad QRS Tachycardia in an Infant with Conduction Disorder and SCN5A Mutation

    Elio Caruso1,*, Silvia Farruggio1, Alfredo Di Pino1, Paolo Guccione1, Mohammadrafie Khorgami2

    Congenital Heart Disease, Vol.17, No.5, pp. 551-556, 2022, DOI:10.32604/chd.2022.023711

    Abstract We present the case of an infant admitted to our department for a rapid broad complex tachycardia and cardiovascular collapse. The patient was submitted to genetic testing because of a conduction defect at baseline ECG and family history of gene mutation. A new SCN5A gene mutation variant was found leading to diagnosis of sodium-channel dysfunction arrhythmia. More > Graphic Abstract

    Life Threatening Broad QRS Tachycardia in an Infant with Conduction Disorder and <i>SCN5A</i> Mutation

  • Open Access

    ARTICLE

    A Graph Theory Based Self-Learning Honeypot to Detect Persistent Threats

    R. T. Pavendan1,*, K. Sankar1, K. A. Varun Kumar2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3331-3348, 2023, DOI:10.32604/iasc.2023.028029

    Abstract Attacks on the cyber space is getting exponential in recent times. Illegal penetrations and breaches are real threats to the individuals and organizations. Conventional security systems are good enough to detect the known threats but when it comes to Advanced Persistent Threats (APTs) they fails. These APTs are targeted, more sophisticated and very persistent and incorporates lot of evasive techniques to bypass the existing defenses. Hence, there is a need for an effective defense system that can achieve a complete reliance of security. To address the above-mentioned issues, this paper proposes a novel honeypot system that tracks the anonymous behavior… More >

  • Open Access

    ARTICLE

    Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment

    Fadwa Alrowais1, Sami Althahabi2, Saud S. Alotaibi3, Abdullah Mohamed4, Manar Ahmed Hamza5,*, Radwa Marzouk6

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 687-700, 2023, DOI:10.32604/csse.2023.030188

    Abstract Recently, Internet of Things (IoT) devices produces massive quantity of data from distinct sources that get transmitted over public networks. Cybersecurity becomes a challenging issue in the IoT environment where the existence of cyber threats needs to be resolved. The development of automated tools for cyber threat detection and classification using machine learning (ML) and artificial intelligence (AI) tools become essential to accomplish security in the IoT environment. It is needed to minimize security issues related to IoT gadgets effectively. Therefore, this article introduces a new Mayfly optimization (MFO) with regularized extreme learning machine (RELM) model, named MFO-RELM for Cybersecurity… More >

  • Open Access

    ARTICLE

    Secure e-Prescription Management System: Mitigating Blended Threat in IoBE

    Deukhun Kim1, Heejin Kim2, Jin Kwak3,*

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2501-2519, 2023, DOI:10.32604/csse.2023.029356

    Abstract New information and communication technologies (ICT) are being applied in various industries to upgrade the value of the major service items. Moreover, data collection, storage, processing, and security applications have led to the creation of an interrelated ICT environment in which one industry can directly influence the other. This is called the “internet of blended environments” (IoBE), as it is an interrelated data environment based on internet-of-things collection activities. In this environment, security incidents may increase as size and interconnectivity of attackable operations grow. Consequently, preemptive responses to combined security threats are needed to securely utilize IoBE across industries. For… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Based Threat Detection in Industrial Internet of Things Environment

    Fahad F. Alruwaili*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5809-5824, 2022, DOI:10.32604/cmc.2022.031613

    Abstract Internet of Things (IoT) is one of the hottest research topics in recent years, thanks to its dynamic working mechanism that integrates physical and digital world into a single system. IoT technology, applied in industries, is termed as Industrial IoT (IIoT). IIoT has been found to be highly susceptible to attacks from adversaries, based on the difficulties observed in IIoT and its increased dependency upon internet and communication network. Intentional or accidental attacks on these approaches result in catastrophic effects like power outage, denial of vital health services, disruption to civil service, etc., Thus, there is a need exists to… More >

  • Open Access

    ARTICLE

    Novel Architecture of Security Orchestration, Automation and Response in Internet of Blended Environment

    Minkyung Lee1, Julian Jang-Jaccard2, Jin Kwak3,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 199-223, 2022, DOI:10.32604/cmc.2022.028495

    Abstract New technologies that take advantage of the emergence of massive Internet of Things (IoT) and a hyper-connected network environment have rapidly increased in recent years. These technologies are used in diverse environments, such as smart factories, digital healthcare, and smart grids, with increased security concerns. We intend to operate Security Orchestration, Automation and Response (SOAR) in various environments through new concept definitions as the need to detect and respond automatically to rapidly increasing security incidents without the intervention of security personnel has emerged. To facilitate the understanding of the security concern involved in this newly emerging area, we offer the… More >

  • Open Access

    ARTICLE

    Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing

    Amjad Alsirhani, Mohamed Ezz, Ayman Mohamed Mostafa*

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 967-984, 2022, DOI:10.32604/csse.2022.024854

    Abstract Identity management is based on the creation and management of user identities for granting access to the cloud resources based on the user attributes. The cloud identity and access management (IAM) grants the authorization to the end-users to perform different actions on the specified cloud resources. The authorizations in the IAM are grouped into roles instead of granting them directly to the end-users. Due to the multiplicity of cloud locations where data resides and due to the lack of a centralized user authority for granting or denying cloud user requests, there must be several security strategies and models to overcome… More >

  • Open Access

    ARTICLE

    Adaptive Polling Rate for SNMP for Detecting Elusive DDOS

    Yichiet Aun*, Yen-Min Jasmina Khaw, Ming-Lee Gan, Vasaki Ponnusamy

    Journal of Cyber Security, Vol.4, No.1, pp. 17-28, 2022, DOI:10.32604/jcs.2022.027524

    Abstract Resilient network infrastructure is pivotal for business entities that are growing reliance on the Internet. Distributed Denial-of-Service (DDOS) is a common network threat that collectively overwhelms and exhausts network resources using coordinated botnets to interrupt access to network services, devices, and resources. IDS is typically deployed to detect DDOS based on Snort rules. Although being fairly accurate, IDS operates on a compute-intensive packet inspection technique and lacks rapid DDOS detection. Meanwhile, SNMP is a comparably lightweight countermeasure for fast detection. However, this SNMP trigger is often circumvented if the DDOS burst rate is coordinated to flood the network smaller than… More >

  • Open Access

    ARTICLE

    Pattern Analysis and Regressive Linear Measure for Botnet Detection

    B. Padmavathi1,2,*, B. Muthukumar3

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 119-139, 2022, DOI:10.32604/csse.2022.021431

    Abstract Capturing the distributed platform with remotely controlled compromised machines using botnet is extensively analyzed by various researchers. However, certain limitations need to be addressed efficiently. The provisioning of detection mechanism with learning approaches provides a better solution more broadly by saluting multi-objective constraints. The bots’ patterns or features over the network have to be analyzed in both linear and non-linear manner. The linear and non-linear features are composed of high-level and low-level features. The collected features are maintained over the Bag of Features (BoF) where the most influencing features are collected and provided into the classifier model. Here, the linearity… More >

  • Open Access

    ARTICLE

    Security Threat and Vulnerability Assessment and Measurement in Secure Software Development

    Mamoona Humayun1, NZ Jhanjhi2,*, Maram Fahhad Almufareh1, Muhammad Ibrahim Khalil3

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5039-5059, 2022, DOI:10.32604/cmc.2022.019289

    Abstract Security is critical to the success of software, particularly in today's fast-paced, technology-driven environment. It ensures that data, code, and services maintain their CIA (Confidentiality, Integrity, and Availability). This is only possible if security is taken into account at all stages of the SDLC (Software Development Life Cycle). Various approaches to software quality have been developed, such as CMMI (Capability maturity model integration). However, there exists no explicit solution for incorporating security into all phases of SDLC. One of the major causes of pervasive vulnerabilities is a failure to prioritize security. Even the most proactive companies use the “patch and… More >

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