Fixing Network Security Vulnerabilities in Local Area Network

Kumar, Barnala Kiran; Raj, Neha; Dhivvya, J P; Muralidharan, Dhivya

doi:10.1109/icoei.2019.8862634

Cited by 14 publications

(2 citation statements)

References 11 publications

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“…Kumar et al [9] proposed a system for detecting, fixing, and reporting security vulnerabilities in local area networks to prevent attacks. The system is primarily intended for Linux/Windows network administrators.…”

Section: Network Penetration Testing Methodologiesmentioning

confidence: 99%

A Systematic Literature Review on Penetration Testing in Networks: Future Research Directions

Alhamed,

Rahman

2023

Applied Sciences

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Given the widespread use of the internet at the individual, governmental, and nongovernmental levels, and the opportunities it offers, such as online shopping, security concerns may arise. Cyber criminals are responsible for stopping organizations’ access to internet, for stealing valuable and confidential data, and causing other damage. Therefore, the network must be protected and meet security requirements. Network penetration testing is a type of security assessment used to find risk areas and vulnerabilities that threaten the security of a network. Thus, network penetration testing is designed to provide prevention and detection controls against attacks in the network. A tester looks for security issues in the network operation, design, or implementation of the particular company or organization. Thus, it is important to identify the vulnerabilities and identify the threats that may exploit them in order to find ways to reduce their dangers.The ports at risk are named and discussed in this study. Furthermore, we discuss the most common tools used for network penetration testing. Moreover, we look at potential attacks and typical remediation strategies that can be used to protect the vulnerable ports by reviewing the related publications. In conclusion, it is recommended that researchers in this field focus on automated network penetration testing. In the future, we will use machine learning in WLAN penetration testing, which provides new insight and high efficiency in performance. Moreover, we will train machine learning models to detect a wide range of vulnerabilities in order to find solutions to mitigate the risks in a short amount of time rather that through manual WLAN penetration testing, which consumes a lot of time. This will lead to improving security and reducing loss prevention.

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Section: Network Penetration Testing Methodologiesmentioning

confidence: 99%

A Systematic Literature Review on Penetration Testing in Networks: Future Research Directions

Alhamed,

Rahman

2023

Applied Sciences

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“…Kumar et. al [8] proposed a system for identification, fixing and reporting of vulnerabilities of network over Local Area Network (LAN). The Telnet-SSH connection is automated using Python and is used for vulnerability of physical open ports.…”

Section: Related Workmentioning

confidence: 99%

University Computer Network Vulnerability Management using Nmap and Nexpose

2021

IJATCSE

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Over the past few years, the advancement of technology in universities have led to rise in the number of vulnerabilities in University computer Network (UCN). To ensure robustness and hardness of UCN, an efficient Vulnerability Management System is required. The focus of current work is on the importance of vulnerability management in a UCN. A plethora of tools are used for vulnerability scanning and assessment. This paper also focuses on the implementation of vulnerability scanning tools on UCN. Assessment of scan results is done to identify vulnerabilities in the network that need to be resolved on priority basis. Based on the scan results obtained after scanning the network using scanning tools, the decision can be taken to mitigate the vulnerabilities on priority basis. Vulnerability Management in a UCN is a stepwise procedure that needs to be implemented to keep the network secure. An effective VM framework is important and inevitable to prevent cyber security breaches in a UCN as it regularly checks for new vulnerabilities on and also provide solutions to remediate or resolve the vulnerabilities. The scanning tools used for the current work were Nmap and Nexpose. Nmap was used for information gathering of network and Nexpose was used for scanning the network for vulnerability detection.

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