• 제목/요약/키워드: Computer Security

검색결과 5,943건 처리시간 0.029초

Security Risk Management of an Educational Institution: Case Study

  • Almarri, Bayenah;Alraheb, Fatimah;Alramis, Shahad;Almilad, Noor;Aldahasi, Ezaz;Ali, Azza
    • International Journal of Computer Science & Network Security
    • /
    • 제21권3호
    • /
    • pp.172-176
    • /
    • 2021
  • This study is conducted with an educational institution to minimize the potential security hazards to an acceptable level where the vulnerabilities and threats are revealed in this institution. The paper provides a general structure for the risk management process in educational institutions, and some recommendation that increases security levels is presented.

Review Of Some Cryptographic Algorithms In Cloud Computing

  • Alharbi, Mawaddah Fouad;Aldosari, Fahd;Alharbi, Nawaf Fouad
    • International Journal of Computer Science & Network Security
    • /
    • 제21권9호
    • /
    • pp.41-50
    • /
    • 2021
  • Cloud computing is one of the most expanding technologies nowadays; it offers many benefits that make it more cost-effective and more reliable in the business. This paper highlights the various benefits of cloud computing and discusses different cryptography algorithms being used to secure communications in cloud computing environments. Moreover, this thesis aims to propose some improvements to enhance the security and safety of cloud computing technologies.

URL Phishing Detection System Utilizing Catboost Machine Learning Approach

  • Fang, Lim Chian;Ayop, Zakiah;Anawar, Syarulnaziah;Othman, Nur Fadzilah;Harum, Norharyati;Abdullah, Raihana Syahirah
    • International Journal of Computer Science & Network Security
    • /
    • 제21권9호
    • /
    • pp.297-302
    • /
    • 2021
  • The development of various phishing websites enables hackers to access confidential personal or financial data, thus, decreasing the trust in e-business. This paper compared the detection techniques utilizing URL-based features. To analyze and compare the performance of supervised machine learning classifiers, the machine learning classifiers were trained by using more than 11,005 phishing and legitimate URLs. 30 features were extracted from the URLs to detect a phishing or legitimate URL. Logistic Regression, Random Forest, and CatBoost classifiers were then analyzed and their performances were evaluated. The results yielded that CatBoost was much better classifier than Random Forest and Logistic Regression with up to 96% of detection accuracy.

Security of Web Applications: Threats, Vulnerabilities, and Protection Methods

  • Mohammed, Asma;Alkhathami, Jamilah;Alsuwat, Hatim;Alsuwat, Emad
    • International Journal of Computer Science & Network Security
    • /
    • 제21권8호
    • /
    • pp.167-176
    • /
    • 2021
  • This is the world of computer science and innovations. In this modern era, every day new apps, webs and software are being introduced. As well as new apps and software are being introduced, similarly threats and vulnerable security matters are also increasing. Web apps are software that can be used by customers for numerous useful tasks, and because of the developer experience of good programming standards, web applications that can be used by an attacker also have multiple sides. Web applications Security is expected to protect the content of critical web and to ensure secure data transmission. Application safety must therefore be enforced across all infrastructure, including the web application itself, that supports the web applications. Many organizations currently have a type of web application protection scheme or attempt to build/develop, but the bulk of these schemes are incapable of generating value consistently and effectively, and therefore do not improve developers' attitude in building/designing stable Web applications. This article aims to analyze the attacks on the website and address security scanners of web applications to help us resolve web application security challenges.

A Closer Look on Challenges and Security Risks of Voice Over Internet Protocol Infrastructures

  • Omari, Ahmed H. Al;Alsariera, Yazan A.;Alhadawi, Hussam S.;Albawaleez, Mahmoud A.;Alkhliwi, Sultan S.
    • International Journal of Computer Science & Network Security
    • /
    • 제22권2호
    • /
    • pp.175-184
    • /
    • 2022
  • Voice over Internet Protocol (VoIP) has grown in popularity as a low-cost, flexible alternative to the classic public switched telephone network (PSTN) that offers advanced digital features. However, additional security vulnerabilities are introduced by the VoIP system's flexibility and the convergence of voice and data networks. These additional challenges add to the normal security challenges that a VoIP system's underlying IP data network infrastructure confront. As a result, the VoIP network adds to the complexity of the security assurance task faced by businesses that use this technology. It's time to start documenting the many security risks that a VoIP infrastructure can face, as well as analyzing the difficulties and solutions that could help guide future efforts in research & development. We discuss and investigate the challenges and requirements of VoIP security in this research. Following a thorough examination of security challenges, we concentrate on VoIP system threats, which are critical for present and future VoIP deployments. Then, towards the end of this paper, some future study directions are suggested. This article intends to guide future scholars and provide them with useful guidance.

Android Operating System: Security Features, Vulnerabilities, and Protection Mechanisms

  • AlJeraisy, Lulwa Abdulmajeed;Alsultan, Arwa
    • International Journal of Computer Science & Network Security
    • /
    • 제22권11호
    • /
    • pp.367-372
    • /
    • 2022
  • In the age of smartphones, users accomplish their daily tasks using their smartphones due to the significant growth in smartphone technology. Due to these tremendous expansions, attackers are highly motivated to penetrate numerous mobile marketplaces with their developed malicious apps. Android has the biggest proportion of the overall market share when compared to other platforms including Windows, iOS, and Blackberry. This research will discuss the Android security features, vulnerabilities and threats, in addition to some existing protection mechanisms.

Human Factor & Artificial Intelligence: For future software security to be invincible, a confronting comprehensive survey

  • Al-Amri, Bayan O;Alsuwat, Hatim;Alsuwat, Emad
    • International Journal of Computer Science & Network Security
    • /
    • 제21권6호
    • /
    • pp.245-251
    • /
    • 2021
  • This work aims to focus on the current features and characteristics of Human Element and Artificial intelligence (AI), ask some questions about future information security, and whether we can avoid human errors by improving machine learning and AI or invest in human knowledge more and work them both together in the best way possible? This work represents several related research results on human behavior towards information security, specified with elements and factors like knowledge and attitude, and how much are they invested for ISA (information security awareness), then presenting some of the latest studies on AI and their contributions to further improvements, making the field more securely advanced, we aim to open a new type of thinking in the cybersecurity field and we wish our suggestions of utilizing each point of strengths in both human attributions in software security and the existence of a well-built AI are going to make better future software security.

A Study on the Isolated Cloud Security Using Next Generation Network

  • Park, Jae-Kyung;Lee, Won Joo;Lee, Kang-Ho
    • 한국컴퓨터정보학회논문지
    • /
    • 제22권11호
    • /
    • pp.9-16
    • /
    • 2017
  • In this paper, we propose to present a model of cloud security that has emerged as the biggest topic of cloud computing, replacing the traditional IT environment. While cloud computing is an extension of existing IT technology, security issues and threats can be applied to traditional security technologies. However, the biggest difference between a typical computing environment and a cloud computing environment is a virtualized environment with a hypervisor. Currently, there are many weaknesses in the virtualized environment, and there are few related security products. In order for a cloud computing environment to function as a reliable IT environment, we expect more research on hypervisor-based security technologies, and we expect to secure safer cloud services through a secure model over the next generation of new-based networks.

Develop an Effective Security Model to Protect Wireless Network

  • Ataelmanan, Somya Khidir Mohmmed;Ali, Mostafa Ahmed Hassan
    • International Journal of Computer Science & Network Security
    • /
    • 제21권3호
    • /
    • pp.48-54
    • /
    • 2021
  • Security is an important issue for wireless communications and poses many challenges. Most security schemes have been applied to the upper layers of communications networks. Since in a typical wireless communication, transmission of data is over the air, third party receiver(s) may have easy access to the transmitted data. This work examines a new security technique at the physical layer for the sake of enhancing the protection of wireless communications against eavesdroppers. We examine the issue of secret communication through Rayleigh fading channel in the presence of an eavesdropper in which the transmitter knows the channel state information of both the main and eavesdropper channel. Then, we analyze the capacity of the main channel and eavesdropper channel we also analyze for the symbol error rate of the main channel, and the outage probability is obtained for the main transmission. This work elucidate that the proposed security technique can safely complement other Security approaches implemented in the upper layers of the communication network. Lastly, we implement the results in Mat lab

Security Problems and Measures for IP Cameras in the environment of IoT

  • Kang, Gil-uk;Han, Sang-Hoon;Lee, Ho
    • 한국컴퓨터정보학회논문지
    • /
    • 제24권1호
    • /
    • pp.107-113
    • /
    • 2019
  • Along with the development of IOT, the number of people using IOT devices has enormously increased and the IOT era has come. Especially, people using the IP cameras among Internet devices have been drastically increasing. It is because the IP cameras are well networked and comparatively cheap compared with CCTVs, and they can also be monitored and controlled in real time through PCs and smart phones for the purposes of general theft prevention and shop surveillance. However, due to the user's serious lack of security awareness and the fact that anyone can easily hack only with simple hacking tools and hacking sites information, security crimes that exploit those have been increasing as well. Therefore, this paper describes how easily the IP cameras can be hacked in the era of IOT, what kind of security incidents occurred, and also suggests possible government measures and new technical solutions to those problems.