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  • Open Access

    ARTICLE

    Game-Oriented Security Strategy Against Hotspot Attacks for Internet of Vehicles

    Juan Guo1, Yanzhu Liu2,*, Shan Li3, Zhi Li4, Sonia Kherbachi5

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2145-2157, 2021, DOI:10.32604/cmc.2021.016411

    Abstract With the rapid development of mobile communication technology, the application of internet of vehicles (IoV) services, such as for information services, driving safety, and traffic efficiency, is growing constantly. For businesses with low transmission delay, high data processing capacity and large storage capacity, by deploying edge computing in the IoV, data processing, encryption and decision-making can be completed at the local end, thus providing real-time and highly reliable communication capability. The roadside unit (RSU), as an important part of edge computing in the IoV, fulfils an important data forwarding function and provides an interactive communication channel for vehicles and server… More >

  • Open Access

    ARTICLE

    Adversarial Attacks on Featureless Deep Learning Malicious URLs Detection

    Bader Rasheed1, Adil Khan1, S. M. Ahsan Kazmi2, Rasheed Hussain2, Md. Jalil Piran3,*, Doug Young Suh4

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 921-939, 2021, DOI:10.32604/cmc.2021.015452

    Abstract Detecting malicious Uniform Resource Locators (URLs) is crucially important to prevent attackers from committing cybercrimes. Recent researches have investigated the role of machine learning (ML) models to detect malicious URLs. By using ML algorithms, first, the features of URLs are extracted, and then different ML models are trained. The limitation of this approach is that it requires manual feature engineering and it does not consider the sequential patterns in the URL. Therefore, deep learning (DL) models are used to solve these issues since they are able to perform featureless detection. Furthermore, DL models give better accuracy and generalization to newly… More >

  • Open Access

    ARTICLE

    An Intelligent Hybrid Mutual Authentication Scheme for Industrial Internet of Thing Networks

    Muhammad Adil1, Jehad Ali2, Muhammad Sajjad Khan3, Junsu Kim3, Ryan Alturki4, Mohammad Zakarya4, Mukhtaj Khan4, Rahim Khan4, Su Min Kim3,*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 447-470, 2021, DOI:10.32604/cmc.2021.014967

    Abstract Internet of Things (IoT) network used for industrial management is vulnerable to different security threats due to its unstructured deployment, and dynamic communication behavior. In literature various mechanisms addressed the security issue of Industrial IoT networks, but proper maintenance of the performance reliability is among the common challenges. In this paper, we proposed an intelligent mutual authentication scheme leveraging authentication aware node (AAN) and base station (BS) to identify routing attacks in Industrial IoT networks. The AAN and BS uses the communication parameter such as a route request (RREQ), node-ID, received signal strength (RSS), and round-trip time (RTT) information to… More >

  • Open Access

    ARTICLE

    IPv6 Cryptographically Generated Address: Analysis, Optimization and Protection

    Amjed Sid Ahmed1,*, Rosilah Hassan2, Faizan Qamar3, Mazhar Malik1

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 247-265, 2021, DOI:10.32604/cmc.2021.014233

    Abstract In networking, one major difficulty that nodes suffer from is the need for their addresses to be generated and verified without relying on a third party or public authorized servers. To resolve this issue, the use of self-certifying addresses have become a highly popular and standardized method, of which Cryptographically Generated Addresses (CGA) is a prime example. CGA was primarily designed to deter the theft of IPv6 addresses by binding the generated address to a public key to prove address ownership. Even though the CGA technique is highly effective, this method is still subject to several vulnerabilities with respect to… More >

  • Open Access

    ARTICLE

    Cyber Security and Privacy Issues in Industrial Internet of Things

    NZ Jhanjhi1, Mamoona Humayun2,*, Saleh N. Almuayqil2

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 361-380, 2021, DOI:10.32604/csse.2021.015206

    Abstract The emergence of industry 4.0 stems from research that has received a great deal of attention in the last few decades. Consequently, there has been a huge paradigm shift in the manufacturing and production sectors. However, this poses a challenge for cybersecurity and highlights the need to address the possible threats targeting (various pillars of) industry 4.0. However, before providing a concrete solution certain aspect need to be researched, for instance, cybersecurity threats and privacy issues in the industry. To fill this gap, this paper discusses potential solutions to cybersecurity targeting this industry and highlights the consequences of possible attacks… More >

  • Open Access

    ARTICLE

    Safeguarding Cloud Computing Infrastructure: A Security Analysis

    Mamdouh Alenezi*

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 159-167, 2021, DOI:10.32604/csse.2021.015282

    Abstract Cloud computing is the provision of hosted resources, comprising software, hardware and processing over the World Wide Web. The advantages of rapid deployment, versatility, low expenses and scalability have led to the widespread use of cloud computing across organizations of all sizes, mostly as a component of the combination/multi-cloud infrastructure structure. While cloud storage offers significant benefits as well as cost-effective alternatives for IT management and expansion, new opportunities and challenges in the context of security vulnerabilities are emerging in this domain. Cloud security, also recognized as cloud computing security, refers to a collection of policies, regulations, systematic processes that… More >

  • Open Access

    ARTICLE

    An Efficient Sound and Data Steganography Based Secure Authentication System

    Debajit Datta1, Lalit Garg2,*, Kathiravan Srinivasan3, Atsushi Inoue4, G. Thippa Reddy3, M. Praveen Kumar Reddy3, K. Ramesh5, Nidal Nasser6

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 723-751, 2021, DOI:10.32604/cmc.2021.014802

    Abstract The prodigious advancements in contemporary technologies have also brought in the situation of unprecedented cyber-attacks. Further, the pin-based security system is an inadequate mechanism for handling such a scenario. The reason is that hackers use multiple strategies for evading security systems and thereby gaining access to private data. This research proposes to deploy diverse approaches for authenticating and securing a connection amongst two devices/gadgets via sound, thereby disregarding the pins’ manual verification. Further, the results demonstrate that the proposed approaches outperform conventional pin-based authentication or QR authentication approaches. Firstly, a random signal is encrypted, and then it is transformed into… More >

  • Open Access

    ARTICLE

    Detection Technique of Software-Induced Rowhammer Attacks

    Minkyung Lee1, Jin Kwak2,*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 349-367, 2021, DOI:10.32604/cmc.2021.014700

    Abstract Side-channel attacks have recently progressed into software-induced attacks. In particular, a rowhammer attack, which exploits the characteristics of dynamic random access memory (DRAM), can quickly and continuously access the cells as the cell density of DRAM increases, thereby generating a disturbance error affecting the neighboring cells, resulting in bit flips. Although a rowhammer attack is a highly sophisticated attack in which disturbance errors are deliberately generated into data bits, it has been reported that it can be exploited on various platforms such as mobile devices, web browsers, and virtual machines. Furthermore, there have been studies on bypassing the defense measures… More >

  • Open Access

    ARTICLE

    SAPEM: Secure Attestation of Program Execution and Program Memory for IoT Applications

    Nafisa Ahmed1, Manar Abu Talib2,*, Qassim Nasir3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 23-49, 2021, DOI:10.32604/cmc.2021.014523

    Abstract Security is one of the major challenges that devices connected to the Internet of Things (IoT) face today. Remote attestation is used to measure these devices’ trustworthiness on the network by measuring the device platform’s integrity. Several software-based attestation mechanisms have been proposed, but none of them can detect runtime attacks. Although some researchers have attempted to tackle these attacks, the proposed techniques require additional secured hardware parts to be integrated with the attested devices to achieve their aim. These solutions are expensive and not suitable in many cases. This paper proposes a dual attestation process, SAPEM, with two phases:… More >

  • Open Access

    ARTICLE

    Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

    Shumaila Shahzadi1, Fahad Ahmad1,*, Asma Basharat1, Madallah Alruwaili2, Saad Alanazi2, Mamoona Humayun2, Muhammad Rizwan1, Shahid Naseem3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2723-2749, 2021, DOI:10.32604/cmc.2021.014594

    Abstract With the rising demand for data access, network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access. To increase efficacy of Software Defined Network (SDN) and Network Function Virtualization (NFV) framework, we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency, reduce network performance, and increase maintenance cost. The existing frameworks lack in security, and computer systems face few abnormalities, which prompts the need for different recognition and mitigation methods to keep the system in the… More >

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