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  • Open Access

    ARTICLE

    A Hierarchical Security Situation Assessment Approach for Train Control System under Cyber Attacks

    Qichang Li1,2,*, Bing Bu1, Junyi Zhao1

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4281-4313, 2025, DOI:10.32604/cmc.2025.061525 - 19 May 2025

    Abstract With the integration of informatization and intelligence into the Communication-Based Train Control (CBTC) systems, the system is facing an increasing number of information security threats. As an important method of characterizing the system security status, the security situation assessment is used to analyze the system security situation. However, existing situation assessment methods fail to integrate the coupling relationship between the physical layer and the information layer of the CBTC systems, and cannot dynamically characterize the real-time security situation changes under cyber attacks. In this paper, a hierarchical security situation assessment approach is proposed to address… More >

  • Open Access

    ARTICLE

    Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection

    Muhammad Armghan Latif1, Zohaib Mushtaq2,*, Saifur Rahman3, Saad Arif4, Salim Nasar Faraj Mursal3, Muhammad Irfan3, Haris Aziz5

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1667-1695, 2025, DOI:10.32604/cmes.2024.056850 - 27 January 2025

    Abstract Ransomware attacks pose a significant threat to critical infrastructures, demanding robust detection mechanisms. This study introduces a hybrid model that combines vision transformer (ViT) and one-dimensional convolutional neural network (1DCNN) architectures to enhance ransomware detection capabilities. Addressing common challenges in ransomware detection, particularly dataset class imbalance, the synthetic minority oversampling technique (SMOTE) is employed to generate synthetic samples for minority class, thereby improving detection accuracy. The integration of ViT and 1DCNN through feature fusion enables the model to capture both global contextual and local sequential features, resulting in comprehensive ransomware classification. Tested on the UNSW-NB15 More >

  • Open Access

    ARTICLE

    Optimal Cyber Attack Strategy Using Reinforcement Learning Based on Common Vulnerability Scoring System

    Bum-Sok Kim1, Hye-Won Suk1, Yong-Hoon Choi2, Dae-Sung Moon3, Min-Suk Kim2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1551-1574, 2024, DOI:10.32604/cmes.2024.052375 - 27 September 2024

    Abstract Currently, cybersecurity threats such as data breaches and phishing have been on the rise due to the many different attack strategies of cyber attackers, significantly increasing risks to individuals and organizations. Traditional security technologies such as intrusion detection have been developed to respond to these cyber threats. Recently, advanced integrated cybersecurity that incorporates Artificial Intelligence has been the focus. In this paper, we propose a response strategy using a reinforcement-learning-based cyber-attack-defense simulation tool to address continuously evolving cyber threats. Additionally, we have implemented an effective reinforcement-learning-based cyber-attack scenario using Cyber Battle Simulation, which is a… More >

  • Open Access

    ARTICLE

    Machine Learning Enabled Novel Real-Time IoT Targeted DoS/DDoS Cyber Attack Detection System

    Abdullah Alabdulatif1, Navod Neranjan Thilakarathne2,*, Mohamed Aashiq3,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3655-3683, 2024, DOI:10.32604/cmc.2024.054610 - 12 September 2024

    Abstract The increasing prevalence of Internet of Things (IoT) devices has introduced a new phase of connectivity in recent years and, concurrently, has opened the floodgates for growing cyber threats. Among the myriad of potential attacks, Denial of Service (DoS) attacks and Distributed Denial of Service (DDoS) attacks remain a dominant concern due to their capability to render services inoperable by overwhelming systems with an influx of traffic. As IoT devices often lack the inherent security measures found in more mature computing platforms, the need for robust DoS/DDoS detection systems tailored to IoT is paramount for… More >

  • Open Access

    ARTICLE

    Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

    Yangrong Chen1,2, June Li3,*, Yu Xia3, Ruiwen Zhang3, Lingling Li1,2, Xiaoyu Li1,2, Lin Ge1,2

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2579-2609, 2024, DOI:10.32604/cmc.2024.053230 - 15 August 2024

    Abstract Intelligent electronic devices (IEDs) are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control instructions. In the context of the heightened security challenges within smart grids, IEDs pose significant risks due to inherent hardware and software vulnerabilities, as well as the openness and vulnerability of communication protocols. Smart grid security, distinct from traditional internet security, mainly relies on monitoring network security events at the platform layer, lacking an effective assessment mechanism for IEDs. Hence, we incorporate considerations for both cyber-attacks and physical faults, presenting security assessment indicators and… More > Graphic Abstract

    Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

  • Open Access

    REVIEW

    A Comprehensive Survey on Advanced Persistent Threat (APT) Detection Techniques

    Singamaneni Krishnapriya*, Sukhvinder Singh

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2675-2719, 2024, DOI:10.32604/cmc.2024.052447 - 15 August 2024

    Abstract The increase in number of people using the Internet leads to increased cyberattack opportunities. Advanced Persistent Threats, or APTs, are among the most dangerous targeted cyberattacks. APT attacks utilize various advanced tools and techniques for attacking targets with specific goals. Even countries with advanced technologies, like the US, Russia, the UK, and India, are susceptible to this targeted attack. APT is a sophisticated attack that involves multiple stages and specific strategies. Besides, TTP (Tools, Techniques, and Procedures) involved in the APT attack are commonly new and developed by an attacker to evade the security system.… More >

  • Open Access

    ARTICLE

    Adaptive Network Sustainability and Defense Based on Artificial Bees Colony Optimization Algorithm for Nature Inspired Cyber Security

    Chirag Ganguli1, Shishir Kumar Shandilya2, Michal Gregus3, Oleh Basystiuk4,*

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 739-758, 2024, DOI:10.32604/csse.2024.042607 - 20 May 2024

    Abstract Cyber Defense is becoming a major issue for every organization to keep business continuity intact. The presented paper explores the effectiveness of a meta-heuristic optimization algorithm-Artificial Bees Colony Algorithm (ABC) as an Nature Inspired Cyber Security mechanism to achieve adaptive defense. It experiments on the Denial-Of-Service attack scenarios which involves limiting the traffic flow for each node. Businesses today have adapted their service distribution models to include the use of the Internet, allowing them to effectively manage and interact with their customer data. This shift has created an increased reliance on online services to store… More >

  • Open Access

    ARTICLE

    An Innovative Technique for Constructing Highly Non-Linear Components of Block Cipher for Data Security against Cyber Attacks

    Abid Mahboob1, Muhammad Asif2, Rana Muhammad Zulqarnain3,*, Imran Siddique4, Hijaz Ahmad5, Sameh Askar6, Giovanni Pau7

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2547-2562, 2023, DOI:10.32604/csse.2023.040855 - 28 July 2023

    Abstract The rapid advancement of data in web-based communication has created one of the biggest issues concerning the security of data carried over the internet from unauthorized access. To improve data security, modern cryptosystems use substitution-boxes. Nowadays, data privacy has become a key concern for consumers who transfer sensitive data from one place to another. To address these problems, many companies rely on cryptographic techniques to secure data from illegal activities and assaults. Among these cryptographic approaches, AES is a well-known algorithm that transforms plain text into cipher text by employing substitution box (S-box). The S-box… More >

  • Open Access

    REVIEW

    Phishing Attacks in Social Engineering: A Review

    Kofi Sarpong Adu-Manu*, Richard Kwasi Ahiable, Justice Kwame Appati, Ebenezer Essel Mensah

    Journal of Cyber Security, Vol.4, No.4, pp. 239-267, 2022, DOI:10.32604/jcs.2023.041095 - 10 August 2023

    Abstract Organisations closed their offices and began working from home online to prevent the spread of the COVID-19 virus. This shift in work culture coincided with increased online use during the same period. As a result, the rate of cybercrime has skyrocketed. This study examines the approaches, techniques, and countermeasures of Social Engineering and phishing in this context. The study discusses recent trends in the existing approaches for identifying phishing assaults. We explore social engineering attacks, categorise them into types, and offer both technical and social solutions for countering phishing attacks which makes this paper different More >

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