Deployment Issues And Security Concerns With Wireless Local Area Networks: The Deployment Experience At A University

Kahai, Paramjit S.; Kahai, Simran K.

doi:10.19030/jabr.v20i4.2221

Cited by 5 publications

(9 citation statements)

References 4 publications

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“…Furthermore, the organization should implement continuous attack and vulnerability monitoring and perform periodic technical security assessment to measure overall security of the WLAN [5]. The use of strong encryption standards protect WLANs from the worst threats.…”

Section: Securing a Wireless Lanmentioning

confidence: 99%

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Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

2017

IJSR

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Due to the rapid development of software's and algorithms that attack wireless connections, as well as risky challenges which encounter the data passing through this connection with the development of the potential capabilities of intruders, urgent manage risks of this wireless connections arises which it became necessary to analysis and protect this data. This paper propose a compromising way between protecting data from eavesdropping with intruding and risks. The paper introduces a new type of cryptographic algorithm that minimize these risks. The proposed rules that process these risks adopted on fuzzy theory. The target packets captured for local area network using WIRESSHARK free source software, then tested, and results discussed which concludes that minimizing risk for this network in diagnosed cases can be achieved via controlling transmitted data via the proposed encryption system. Matlab Guide toolbox 2013 and Laptop with Intel processor I5 with RAM 8GB was used.

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Section: Securing a Wireless Lanmentioning

confidence: 99%

“…So packets encryption should be tackled according to the types of attacks after analysis. Analysis of attack should be taken in order to the type of attack explained in section [5].…”

Section: Minimizing Riskmentioning

confidence: 99%

Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

2017

IJSR

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“…The IV is sent in the packet along with the data. Once the encrypted packet reaches the receiving end, it decrypts the packet using the same session key [12].…”

Section: Wlan Vulnerabilitiesmentioning

confidence: 99%

“…Thus, if any devices are lost or stolen, the higher the chances of the key being compromised. This exposes the whole system to security breaches [12]. More importantly, the encryption algorithm RC4 used in WEP is flawed and encryption keys can be recovered through cryptanalysis [8].…”

Section: Wlan Vulnerabilitiesmentioning

confidence: 99%

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Wireless LAN Security Threats & Vulnerabilities

Waliullah¹,

Gan²

2014

IJACSA

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Abstract-Wireless LANs are everywhere these days from home to large enterprise corporate networks due to the ease of installation, employee convenience, avoiding wiring cost and constant mobility support. However, the greater availability of wireless LANs means increased danger from attacks and increased challenges to an organization, IT staff and IT security professionals. This paper discusses the various security issues and vulnerabilities related to the IEEE 802.11 Wireless LAN encryption standard and common threats/attacks pertaining to the home and enterprise Wireless LAN system and provide overall guidelines and recommendation to the home users and organizations.

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Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

Radhi

2020

IJEECS

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Due to the unreliability of wired communications and the risks of controlling the process of transmitting data besides the complications that affecting data protection and the high costs of systems infrastructure, led to use wireless communications instead of wires media, but these networks are vulnerable towards illegal attacks. The side effects of these attacks are modifying data or penetrate the security system and discover its weaknesses, which leads to great material losses. These risks and difficulties led to the reluctance of wires communications and propose intelligent techniques and robust encryption algorithms for preventing data transmitted over wireless networks to keep it safe from cyber security attacks. So, there is a persistent need for providing intelligent techniques and robust algorithms to preserve conveyed information using wireless network. This paper introduces scenario for proposing intelligent technique to increase data reliability and provides a new way to improve high level of protection besides reduces infrastructure cost. The proposed system relies on two models, where the first model based on producing a knowledge base of risk rules while the aim of the second module is a risk assessment outcomes and encryption process according to attacks type. In this system, reducing risks levels based on renewable rules whereas a novel security system established on non-periodic keys with unsystematic operations using fuzzy system. We concluded that the proposed system has the ability to protect the transmitted data, increases its reliability and reduce the potential risks. MATLAB Toolkit 2014 then Weka open source package was used in encryption and data mining for the proposed system.<iframe class="ginger-extension-definitionpopup" style="left: -91.5px; top: -78px; z-index: 100001; display: none;" src="chrome-extension://kdfieneakcjfaiglcfcgkidlkmlijjnh/content/popups/definitionPopup/index.html?title=Abstract&description=a%20concept%20or%20idea%20not%20associated%20with%20any%20specific%20instance"></iframe>

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Deployment Issues And Security Concerns With Wireless Local Area Networks: The Deployment Experience At A University

Abstract: This paper presents and discusses various issues pertaining to the deployment of Wireless Local Area Networks (WLANs

Cited by 5 publications

References 4 publications

Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

Wireless LAN Security Threats & Vulnerabilities

Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

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