Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (65)
  • Open Access

    ARTICLE

    Insider Threat Detection Based on NLP Word Embedding and Machine Learning

    Mohd Anul Haq1, Mohd Abdul Rahim Khan1,*, Mohammed Alshehri2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 619-635, 2022, DOI:10.32604/iasc.2022.021430

    Abstract The growth of edge computing, the Internet of Things (IoT), and cloud computing have been accompanied by new security issues evolving in the information security infrastructure. Recent studies suggest that the cost of insider attacks is higher than the external threats, making it an essential aspect of information security for organizations. Efficient insider threat detection requires state-of-the-art Artificial Intelligence models and utility. Although significant have been made to detect insider threats for more than a decade, there are many limitations, including a lack of real data, low accuracy, and a relatively low false alarm, which are major concerns needing further… More >

  • Open Access

    ARTICLE

    Design of Cybersecurity Threat Warning Model Based on Ant Colony Algorithm

    Weiwei Lin1,2,*, Reiko Haga3

    Journal on Big Data, Vol.3, No.4, pp. 147-153, 2021, DOI:10.32604/jbd.2021.017299

    Abstract In this paper, a cybersecurity threat warning model based on ant colony algorithm is designed to strengthen the accuracy of the cybersecurity threat warning model in the warning process and optimize its algorithm structure. Through the ant colony algorithm structure, the local global optimal solution is obtained; and the cybersecurity threat warning index system is established. Next, the above two steps are integrated to build the cybersecurity threat warning model based on ant colony algorithm, and comparative experiment is also designed. The experimental results show that, compared with the traditional qualitative differential game-based cybersecurity threat warning model, the cybersecurity threat… More >

  • Open Access

    ARTICLE

    Enterprise Cyberspace Threat Landscape: An Analysis

    Emmanuel U. Opara1,*, Oredola A. Soluade2

    Journal of Cyber Security, Vol.3, No.3, pp. 167-176, 2021, DOI:10.32604/jcs.2021.019158

    Abstract The ecosystem security platform described in this research is already impacting the threat spectrum in quantifiable ways. The global network has undergone a dramatic transformation over the course of 2020, with an unprecedented destabilization of events. Security breaches of all kinds are growing in complexity, sophistication, and impact. The bad actors are bypassing predictable security devices at will by breaching network systems at an escalating rate. This study will analyze these developments by creating awareness among security practitioners so they can be prepared to defend their enterprise systems. More >

  • Open Access

    ARTICLE

    Awareness about the Online Security Threat and Ways to Secure the Youths

    Yeshi Nidup*

    Journal of Cyber Security, Vol.3, No.3, pp. 133-148, 2021, DOI:10.32604/jcs.2021.024136

    Abstract This study aimed to find out the awareness about the online security threat and understanding of the preventive measuresto secure the youthsfrom online risks. For this, a quantitative method was applied and the survey questionnaire was instituted to collect the data randomly from the youths studying in class eleven and higher. A total of 264 youths, 147 female and 117 male responded to the survey questionnaire. The data was organized and analyzed using Excel data analysis tool package, interpreted and represented in the form of graphs with some explanations. The awareness about the online security threat was found to be… More >

  • Open Access

    ARTICLE

    DNNBoT: Deep Neural Network-Based Botnet Detection and Classification

    Mohd Anul Haq, Mohd Abdul Rahim Khan*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1729-1750, 2022, DOI:10.32604/cmc.2022.020938

    Abstract The evolution and expansion of IoT devices reduced human efforts, increased resource utilization, and saved time; however, IoT devices create significant challenges such as lack of security and privacy, making them more vulnerable to IoT-based botnet attacks. There is a need to develop efficient and faster models which can work in real-time with efficiency and stability. The present investigation developed two novels, Deep Neural Network (DNN) models, DNNBoT1 and DNNBoT2, to detect and classify well-known IoT botnet attacks such as Mirai and BASHLITE from nine compromised industrial-grade IoT devices. The utilization of PCA was made to feature extraction and improve… More >

  • Open Access

    ARTICLE

    Extensive Study of Cloud Computing Technologies, Threats and Solutions Prospective

    Mwaffaq Abu-Alhaija1, Nidal M. Turab1,*, AbdelRahman Hamza2

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 225-240, 2022, DOI:10.32604/csse.2022.019547

    Abstract Infrastructure as a Service (IaaS) provides logical separation between data, network, applications and machines from the physical constrains of real machines. IaaS is one of the basis of cloud virtualization. Recently, security issues are also gradually emerging with virtualization of cloud computing. Different security aspects of cloud virtualization will be explored in this research paper, security recognizing potential threats or attacks that exploit these vulnerabilities, and what security measures are used to alleviate such threats. In addition, a discussion of general security requirements and the existing security schemes is also provided. As shown in this paper, different components of virtualization… More >

  • Open Access

    ARTICLE

    Web Security: Emerging Threats and Defense

    Abdulwahed Awad Almutairi1, Shailendra Mishra2,*, Mohammed AlShehri1

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 1233-1248, 2022, DOI:10.32604/csse.2022.019427

    Abstract Web applications have become a widely accepted method to support the internet for the past decade. Since they have been successfully installed in the business activities and there is a requirement of advanced functionalities, the configuration is growing and becoming more complicated. The growing demand and complexity also make these web applications a preferred target for intruders on the internet. Even with the support of security specialists, they remain highly problematic for the complexity of penetration and code reviewing methods. It requires considering different testing patterns in both codes reviewing and penetration testing. As a result, the number of hacked… More >

  • Open Access

    ARTICLE

    Efficacy of Unconventional Penetration Testing Practices

    Bandar Abdulrhman Bin Arfaj1, Shailendra Mishra2,*, Mohammed Alshehri1

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 223-239, 2022, DOI:10.32604/iasc.2022.019485

    Abstract The financial and confidential cost of cyberattack has presented a significant loss to the organization and government where the privacy of worthless information has become vulnerable to cyber threat. In terms of efforts implemented to avoid this risk, the cyberattack continues to evolve, making the cybersecurity systems weekend. This has necessitated the importance of comprehensive penetration testing, assessment techniques, and tools to analyze and present the currently available unconventional penetration techniques and tactics to test and examine their key features and role in supporting cybersecurity and measure their effectiveness. The importance of cyberspace and its value make it an eminent… More >

  • Open Access

    ARTICLE

    Cyber-Attack Detection and Mitigation Using SVM for 5G Network

    Sulaiman Yousef Alshunaifi, Shailendra Mishra*, Mohammed Alshehri

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 13-28, 2022, DOI:10.32604/iasc.2022.019121

    Abstract 5G technology is widely seen as a game-changer for the IT and telecommunications sectors. Benefits expected from 5G include lower latency, higher capacity, and greater levels of bandwidth. 5G also has the potential to provide additional bandwidth in terms of AI support, further increasing the benefits to the IT and telecom sectors. There are many security threats and organizational vulnerabilities that can be exploited by fraudsters to take over or damage corporate data. This research addresses cybersecurity issues and vulnerabilities in 4G(LTE) and 5G technology. The findings in this research were obtained by using primary and secondary data. Secondary data… More >

  • Open Access

    Management of Schemes and Threat Prevention in ICS Partner Companies Security

    Sangdo Lee1, Jun-Ho Huh2,*

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3659-3684, 2021, DOI:10.32604/cmc.2021.015632

    Abstract An analysis of the recent major security incidents related to industrial control systems, revealed that most had been caused by company employees. Therefore, enterprise security management systems have been developed to focus on companies’ personnel. Nonetheless, several hacking incidents, involving major companies and public/financial institutions, were actually attempted by the cooperative firms or the outsourced manpower undertaking maintenance work. Specifically, institutions that operate industrial control systems (ICSs) associated with critical national infrastructures, such as traffic or energy, have contracted several cooperative firms. Nonetheless, ICT's importance is gradually increasing, due to outsourcing, and is the most vulnerable factor in security. This… More >

Displaying 41-50 on page 5 of 65. Per Page