• 제목/요약/키워드: computer network security

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A quantitative assessment method of network information security vulnerability detection risk based on the meta feature system of network security data

  • Lin, Weiwei;Yang, Chaofan;Zhang, Zeqing;Xue, Xingsi;Haga, Reiko
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권12호
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    • pp.4531-4544
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    • 2021
  • Because the traditional network information security vulnerability risk assessment method does not set the weight, it is easy for security personnel to fail to evaluate the value of information security vulnerability risk according to the calculation value of network centrality, resulting in poor evaluation effect. Therefore, based on the network security data element feature system, this study designed a quantitative assessment method of network information security vulnerability detection risk under single transmission state. In the case of single transmission state, the multi-dimensional analysis of network information security vulnerability is carried out by using the analysis model. On this basis, the weight is set, and the intrinsic attribute value of information security vulnerability is quantified by using the qualitative method. In order to comprehensively evaluate information security vulnerability, the efficacy coefficient method is used to transform information security vulnerability associated risk, and the information security vulnerability risk value is obtained, so as to realize the quantitative evaluation of network information security vulnerability detection under single transmission state. The calculated values of network centrality of the traditional method and the proposed method are tested respectively, and the evaluation of the two methods is evaluated according to the calculated results. The experimental results show that the proposed method can be used to calculate the network centrality value in the complex information security vulnerability space network, and the output evaluation result has a high signal-to-noise ratio, and the evaluation effect is obviously better than the traditional method.

Design of Security Management System

  • Kim Seok-Soo;Soh Woo-Young
    • International Journal of Contents
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    • 제1권2호
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    • pp.22-25
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    • 2005
  • Enterprise security management system: Enterprise Security Management (EMS) is centralized integrated management of other kind of security solutions such as intrusion cutoff system, intrusion detection system and virtual private network. With the system, it is possible to establish security policies for entire IT system through interlocking of solutions. A security system of company network is progressing as a ESM(Enterprise Security Management) in existing security solution foundation. The establishment of the security policy is occupying very important area in ESM of the security system. We tried to analyze existing ESM system for this and designed security solution structure for enhancing the inside security. We applied implementing directly IDS system and tested. This test set the focus about inside security

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Review on Software-Defined Vehicular Networks (SDVN)

  • Mohammed, Badiea Abdulkarem
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.376-388
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    • 2022
  • The expansion of new applications and business models is being significantly fueled by the development of Fifth Generation (5G) networks, which are becoming more widely accessible. The creation of the newest intelligent vehicular networks and applications is made possible by the use of Vehicular Ad hoc Networks (VANETs) and Software Defined Networking (SDN). Researchers have been concentrating on the integration of SDN and VANET in recent years, and they have examined a variety of issues connected to the architecture, the advantages of software-defined VANET services, and the new features that can be added to them. However, the overall architecture's security and robustness are still in doubt and have received little attention. Furthermore, new security threats and vulnerabilities are brought about by the deployment and integration of novel entities and a number of architectural components. In this study, we comprehensively examine the good and negative effects of the most recent SDN-enabled vehicular network topologies, focusing on security and privacy. We examine various security flaws and attacks based on the existing SDVN architecture. Finally, a thorough discussion of the unresolved concerns and potential future study directions is provided.

VoIP 서비스 환경에서의 사용자 접근 통제 및 인증시스템 (User Access Control and Authentication System in VoIP Service Environment)

  • 양호경;차현종;한인성;유황빈
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (D)
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    • pp.63-66
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    • 2007
  • 인터넷 상에서 음성데이터를 전달하는 VoIP는 기존의 PSTN망을 대체하는 수단으로 환영받고 있다. 음성데이터를 인터넷 프로토콜 데이터 패킷으로 변환하여 데이터가 일반 IP망에서 전달이 가능하게 해주어 기존 일반 전화망에 비해 요금이 저렴하고 확장성이 뛰어난 특징을 가지고 있다. 이러한 VoIP서비스가 점차 증가함에 따라 보안의 취약점 및 서비스의 질이 저하되는 문제가 발생하고 있다. 이러한 점을 줄이기 위해 본 논문은 기존의 VoIP에 AA(Attribute Authority) Server를 추가하여서 보안성 및 사용자 접근에 차등을 줄 수 있는 인증 시스템을 설계하였다.

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Classification of Network Traffic using Machine Learning for Software Defined Networks

  • Muhammad Shahzad Haroon;Husnain Mansoor
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.91-100
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    • 2023
  • As SDN devices and systems hit the market, security in SDN must be raised on the agenda. SDN has become an interesting area in both academics and industry. SDN promises many benefits which attract many IT managers and Leading IT companies which motivates them to switch to SDN. Over the last three decades, network attacks becoming more sophisticated and complex to detect. The goal is to study how traffic information can be extracted from an SDN controller and open virtual switches (OVS) using SDN mechanisms. The testbed environment is created using the RYU controller and Mininet. The extracted information is further used to detect these attacks efficiently using a machine learning approach. To use the Machine learning approach, a dataset is required. Currently, a public SDN based dataset is not available. In this paper, SDN based dataset is created which include legitimate and non-legitimate traffic. Classification is divided into two categories: binary and multiclass classification. Traffic has been classified with or without dimension reduction techniques like PCA and LDA. Our approach provides 98.58% of accuracy using a random forest algorithm.

Arabic Text Recognition with Harakat Using Deep Learning

  • Ashwag, Maghraby;Esraa, Samkari
    • International Journal of Computer Science & Network Security
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    • 제23권1호
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    • pp.41-46
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    • 2023
  • Because of the significant role that harakat plays in Arabic text, this paper used deep learning to extract Arabic text with its harakat from an image. Convolutional neural networks and recurrent neural network algorithms were applied to the dataset, which contained 110 images, each representing one word. The results showed the ability to extract some letters with harakat.

Security Awareness among Students in Campus Environment: Case Study

  • Najihah Osman;Haniza N;Zulkiflee M.
    • International Journal of Computer Science & Network Security
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    • 제23권10호
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    • pp.188-198
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    • 2023
  • In this era of globalization without limitation, many security issues occur, especially in a public network. Internet users significantly increased every single day. However, only some users are aware of security issues when they use Internet services. For the campus network environment, both staffs and students are susceptible to security threats such as data theft, unauthorized access and more due to different levels of awareness towards security threats. This paper is to study the level of awareness among students on security issues based on KSA model. As a case study, the survey was distributed among students in the UTeM campus network. A quantitative study was conducted, and a structured questionnaire has been designed and distributed among students. The variables were focused on three (3) aspects, which are Knowledge, Skill and Ability (KSA). The finding shows the relationship between KSA with the level of awareness among students has been revealed. From the result, Knowledge is the most significant aspect that contributes to high awareness. For the future, a study about increasing students' knowledge about security issues should be addressed.

Software Engineering Meets Network Engineering: Conceptual Model for Events Monitoring and Logging

  • Al-Fedaghi, Sabah;Behbehani, Bader
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.9-20
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    • 2021
  • Abstraction applied in computer networking hides network details behind a well-defined representation by building a model that captures an essential aspect of the network system. Two current methods of representation are available, one based on graph theory, where a network node is reduced to a point in a graph, and the other the use of non-methodological iconic depictions such as human heads, walls, towers or computer racks. In this paper, we adopt an abstract representation methodology, the thinging machine (TM), proposed in software engineering to model computer networks. TM defines a single coherent network architecture and topology that is constituted from only five generic actions with two types of arrows. Without loss of generality, this paper applies TM to model the area of network monitoring in packet-mode transmission. Complex network documents are difficult to maintain and are not guaranteed to mirror actual situations. Network monitoring is constant monitoring for and alerting of malfunctions, failures, stoppages or suspicious activities in a network system. Current monitoring systems are built on ad hoc descriptions that lack systemization. The TM model of monitoring presents a theoretical foundation integrated with events and behavior descriptions. To investigate TM modeling's feasibility, we apply it to an existing computer network in a Kuwaiti enterprise to create an integrated network system that includes hardware, software and communication facilities. The final specifications point to TM modeling's viability in the computer networking field.

Network and Data Link Layer Security for DASH7

  • Seo, Hwa-Jeong;Kim, Ho-Won
    • Journal of information and communication convergence engineering
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    • 제10권3호
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    • pp.248-252
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    • 2012
  • The sensor network standard DASH7 was proposed to improve transmission quality and low power communication. Specifications for the standard are currently being developed, so the security specification has not been firmly implemented. However, without a security specification, a network cannot work due to threats from malicious users. Thus we must ensure confidentiality and authentication of data packets by using a cryptography method. To contribute to the DASH7 security specification, this paper shows the implementation results of network and data link layer security by using advanced encryption standard (AES) counter with CBC-MAC (CCM) over CC430 sensor nodes.

Network Security Practices through Anonymity

  • Smitha, G R;Suprith C Shekar;Ujwal Mirji
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.155-162
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    • 2024
  • Anonymity online has been an ever so fundamental topic among journalists, experts, cybersecurity professionals, corporate whistleblowers. Highest degree of anonymity online can be obtained by mimicking a normal everyday user of the internet. Without raising any flags of suspicion and perfectly merging with the masses of public users. Online Security is a very diverse topic, with new exploits, malwares, ransomwares, zero-day attacks, breaches occurring every day, staying updated with the latest security measures against them is quite expensive and resource intensive. Network security through anonymity focuses on being unidentifiable by disguising or blending into the public to become invisible to the targeted attacks. By following strict digital discipline, we can avoid all the malicious attacks as a whole. In this paper we have demonstrated a proof of concept and feasibility of securing yourself on a network by being anonymous.