SonicWALL Secure Wireless Network Integrated Solutions Guide

Wireless Local Area Network (WLAN) is an alternative in overcoming cabling problems in a local network. Often wireless network security that is installed still uses vendor default settings such as SSID, IP Address, remote management, DHCP enabled, frequency channels, without encryption, even user or password for wireless administration. How does a strong WLAN security system work? The most common security system applied to wireless networks at this time is starting from securing access points by applying the MAC Filtering concept, using WPA / WPA2-PSK security keys, and RADIUS server authentication. To see the quality of wireless LAN network security, how do you analyze the test of the existing security system in the network. The method that can be used in evaluating wireless networks is by testing the system by simulating forms of attacks on wireless networks with the Penetration Testing method. By carrying out 4 stages of research using the penetration testing method (i) the planning stage, (ii) the discovery stage, (iii) the attack stage and (iv) the report stage, from the attack stage (Cracking The Encryption, Bypassing MAC Address, Attacking The Infrastructure and MITM ) using Kali Linux got the results of four types of attacks carried out, only one of which was failed, namely the cracking attack type of the encryption on the RADIUS server due to using captive portal authentication

In order to solve wireless local area network (WLAN) security problem due to the open-wide nature of wireless radio and the improvement of computing power, a design of WLAN security program based on near field communication (NFC) is presented in this paper. In this paper, the importance of having access to handshake for WPA2 brute force is explained. The proposed design protects the four-way handshake by taking advantage of NFC short-range character to eliminate the risk of intercept. For implementation, Android system is selected as a mobile device development platform. The design is compatible with the IEEE 802.11i which ensures the massive expansion in the future. Furthermore, the design simplifies operations to improve users’ experience without much extra hardware cost and offers an option to the owner of WLAN to control the access physically, which benefits commercialization of NFC. From one perspective, this design can solve the wireless network security problem effectively.KeywordsWireless Local Area NetworkNear Field CommunicationWireless RouterDictionary AttackAndroid SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Wireless local area network (WLAN) has changed the paradigm of communication and become ubiquitous. As the number of devices connected to wireless is increasing, it is therefore, essential to find vulnerabilities in the security of wireless networks. In this research WLAN security vulnerabilities are exposed in real time. WLAN security techniques (MAC filtering, Hidden SSID and WPA2) available to residential users were practically exploited. Tenda WiFi wireless access point was set up with MAC filtering, hidden SSID and WPA2 security mechanisms in different combinations in such a way as to add an additional layer of security to previous configuration. Kali Linux version 2017.1 was used as a platform to exploit WLAN networks in real time. In this research, the sensitive information broadcasted by WLAN was utilized to carry out attacks on wireless networks. A practical demonstration of exposing vulnerabilities in MAC filtering, Hidden SSID with MAC filtering and WPA2-PSK with hidden SSID and MAC filtering security mechanisms of AP was carried out in real time. It was observed that the existing security mechanisms were vulnerable. Researchers have exploited many security mechanisms of WLAN focusing upon a single parameter of WLAN security at a time. However, in this work, the three available security mechanisms were cascaded to produce a three layer security mechanism i.e. WPA2 with hidden SSID and MAC filtering. This cascaded model was exploited in real time.

Wireless communication provides users many benefits such as portability, flexibility, reduced hardware need and lower installation costs. Wireless local area networks (WLANs) for example allow users the ability to carry their laptops from place to place without any physical wires and without losing network connectivity.However, some amount of security risk is always associated with wireless networks. The most significant security risk for wireless technology is the potential outsiders have in gaining access to the communications medium, the communications medium being the air waves. Though WLANs provide the users with the option of roaming, this convenience is facilitated by broadcasting packets to anyone with compatible equipment within range of a transmitting device. This broadcasting of packets induces a compromise between convenience and security. Having an unsecured WLAN can result in a loss of service, or can be used as a staging area to launch attacks against other networks. The significant challenges faced today in securing wireless LANs are maintaining privacy, data confidentiality, and preventing unauthorized access using proper access control mechanisms.As wireless networking and security become more prevalent in the market, more and more computer science programs are incorporating courses in wireless networks or at the least, devoting a significant percentage of the advanced networking courses to wireless topics. As a result, in addition to industry practitioners, there is a growing interest among university researchers and faculty regarding tools used in monitoring and assessing security threats for wireless networks.This paper will demonstrate and evaluate a free and open source software tool, called Network Stumbler, used for monitoring and assessing security threats for wireless networks. Network Stumbler is a Windows-based tool that allows you to detect Wireless Local Area Networks (WLANs) using 802.11b, 802.11a and 802.11g. It has many uses:• Verifies that your network is set up the way you intended.• Find locations with poor coverage in your WLAN.• Detects other networks that may be causing interference on your network.• Detects unauthorized rogue access points in your workplace.• Helps aim directional antennas for long-haul WLAN links.• Can be used recreationally for WarDriving.

Wireless network security protocols are essential for enhancing security, privacy and confidentiality. However, network security protocols also require network resources in other to carry out authentication of users through the use of encryption keys and packet encryption. It is therefore relevant to investigate the effects of the amount of resources used by recommended wireless network security protocols in other to determine if user quality of experience and user quality of service is affected by the implementation wireless network security protocols. Our research investigates and examines the effect of security protocols on wireless network performance. The Wi-Fi Protected Access 2 - PreShared Key (WPA2-PSK) was used as the security protocol in focus while throughput was the network performance feature that was analyzed. Experiments were carried out which showed that throughput in a non-secured Wireless Local Area Network (WLAN) is a bit higher than throughput in a secured WLAN. Our research contributes to the future development of WLAN protocols with low network resource consumption in other to contribute to improved network performance.

This study evaluates the current state of wireless network security in the CBD of Nuku'alofa. Wireless Networks have grown significantly since their introduction. Security protocols supplied with the wireless equipment have reached a level of strong and robust security. However, security remains a problem; this study aims to answer two questions. What is the status of wireless network growth and security in Tonga? and what can be done to improve wireless network security in Tonga. The war-drive results of Nuku'alofa produced comprehensive data which clearly shows the number of networks, both company and home networks. An exploratory research approach is employed to guide the design of the study. The results show that there is a significant growth in terms of WLAN usage since the implementation of the fiber optic network. However, this study concludes that WLAN security in Nuku'alofa is still in its early stages.

Chapter 17 - Wireless Network Security

The COVID-19 pandemic and remote working did not improve WLAN security

Wireless Local Area Networks (WLANs), particularly Wi-Fi, serve as the backbone of modern connectivity, supporting billions of devices globally and forming a critical component in Internet of Things (IoT) ecosystems. However, the increasing ubiquity of WLANs also presents an expanding attack surface for adversaries—especially Advanced Persistent Threats (APTs), which operate with high levels of sophistication, resources, and long-term strategic objectives. This paper provides a holistic security analysis of WLANs under the lens of APT threat models, categorizing APT actors by capability tiers and examining their ability to compromise WLANs through logical attack surfaces. The study identifies and explores three primary attack surfaces: Radio Access Control interfaces, compromised insider nodes, and ISP gateway-level exposures. A series of empirical experiments—ranging from traffic analysis of ISP-controlled routers to offline password attack modeling—evaluate the current resilience of WLANs and highlight specific vulnerabilities such as credential reuse, firmware-based leakage, and protocol downgrade attacks. Furthermore, the paper demonstrates how APT resources significantly accelerate attacks through formal models of computational scaling. It also incorporates threat modeling frameworks, including STRIDE and MITRE ATT&CK, to contextualize risks and map adversary tactics. Based on these insights, this paper offers practical recommendations for enhancing WLAN resilience through improved authentication mechanisms, network segmentation, AI-based anomaly detection, and open firmware adoption. The findings underscore that while current WLAN implementations offer basic protections, they remain highly susceptible to well-resourced adversaries, necessitating a shift toward more robust, context-aware security architectures.

Aiming at the problems of traditional wireless communication network security vulnerability monitoring systems such as low monitoring accuracy and time-consuming, a machine learning-based intelligent monitoring system for wireless communication network security vulnerabilities is proposed. In the hardware design of the monitoring system, based on the overall architecture of the wireless communication network and the data characteristics of the wireless communication network, it is divided into a vulnerability data collection module, a vulnerability data scanning module, and a network security vulnerability intelligent monitoring module. In the vulnerability data collection module, the wireless data collector is used to collect vulnerability data in the vulnerability database, and according to the attributes of the vulnerability data, the XSS vulnerability detection plug-in is connected to the vulnerability scanner to scan for wireless communication network vulnerabilities; When the communication network vulnerability data signal is traced, the system session operation of monitoring the vulnerability data. The software part introduces the neural network algorithm in the machine learning intelligent algorithm to process the hidden data in the security vulnerability data. The experimental results show that the wireless communication network security vulnerability intelligent monitoring system based on machine learning can effectively improve the system monitoring accuracy and the efficiency of wireless communication network security vulnerability monitoring.

Cyberbullying has emerged as a pervasive issue in today''''''''s digitally connected society, with detrimental effects on individuals’ mental health and well-being. Despite increasing awareness and efforts to address cyberbullying, there remains a significant gap in utilizing wireless network security measures as a means of mitigation. The existing literature predominantly focuses on social and psychological aspects of cyberbullying, overlooking the potential role of wireless network security in prevention and intervention strategies. This research seeks to fill this gap by exploring the effectiveness of leveraging wireless network security to secure cyberspace against cyberbullying incidents. The research employs a multifaceted methodology, beginning with the estimation of expected rates and derivative risks of cyberbullying within wireless networks. These metrics are combined into a risk index value, which serves as a basis for prioritizing mitigation efforts. Additionally, the study explores the application of cyberspace modeling techniques, specifically Support Vector Machines (SVM), to enhance screening processes and identify potential cyberbullying incidents on Wireless Network Security (WNS). The findings of this research demonstrate the efficacy of integrating wireless network security measures into cyberbullying prevention strategies. By combining risk index values and leveraging SVM-based cyberspace modeling, the study identifies and prioritizes cyberbullying risks effectively. Furthermore, the implementation of wireless network security protocols contributes to a reduction in cyberbullying incidents, fostering safer digital environments for users.

This paper presents a popular technology for the private communications, which is Wireless Local Area Network (WLAN). WLANs and wireless applications are growing up in many network environments. They are potentially useful and powerful, but due to their broadcast nature, the security of these systems is still far from the optimum. As to the technologies in WLAN have the basically secure flaws, so the WLAN security problems continues to be a major thorn in it's using. 802.11x may work eventually, but today it always requires the implementation of a proprietary authentication framework. In the paper, we present the basic techniques using in WLAN and analyze the security of it, at the end of the paper, there is a conclusion for WLAN security solving methods.

We kindly welcome you to the 17th ACM International Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet'21). This year, Q2SWinet will exceptionally be held online due to the COVID-19 pandemic, on November 22nd to November 26th, 2021. The Q2SWinet 2021 Symposium aims at serving as a meeting point and a forum for exchanging ideas, discussing solutions, and sharing experiences among researchers, professionals, application developers, and practitioners from institutions around the world. As with the previous sixteen editions of the Q2SWinet symposium series, the scope of this year's Symposium will remain on general issues related to QoS and security in wireless and mobile networks networking and computing. The call for papers has attracted a large number of high-quality submissions worldwide. Every paper submitted had been peer-reviewed by at least three referees from the Technical Program Committee. The featured papers span from a wide range of topics related to multimedia content delivery and video streaming, 5G and wireless networks, fog computing, and Internet of Things.

Computer networks have come a long way since their inception, and wireless networks are the new trend in the IT market. However, every new technology comes with several advantages and disadvantages. This paper addresses some of the key advances and some of the shortcomings of wireless networks security. It reviews various types of security levels currently offered by standard wireless networks, such as the wired equivalent privacy (WEP); the Wi-Fi protected access (WPA); and 802.11 - the latter defined as the ultimate security available for wireless networks to date. The paper also lists benefits of wireless networks and examples of cost savings. Corporations have been found to consider wireless installations based on the lower total cost of ownership (TCO) and return on investment (ROI) scenarios. In addition to general financial benefits, wireless networks have their own performance benefits such as, for example, increases in data accuracy, and increases in user productivity. There are few industries that have expanded their boundaries in the wireless arena: financial, educational institutions, healthcare facilities and airports (travel). With security being one of the major concerns irrespective of the industry type, the authors highlight factors that senior and mid level IT management should consider when implementing wireless networks. The success story of General Motors investment in wireless LANs factories presents a best practice for WLANs implementations. In the conclusions, questions still open and opportunities for future research are discussed.

This paper provides a survey of the different techniques that can be used to strengthen security in wireless local area networks (WLANs). The first generation of WLANs were deployed by small businesses and individuals at homes. The second generation of WLAN products are more secure than those of the first generation. Second generation broadband wireless networks are considered to be enterprise-level networks providing more capacity and coverage than first generation home- and small business-based WLANs. However, security remains the most critical area of concern in both first generation and second generation WLANs. In this paper, we provide a survey of second generation broadband WLANs technologies and focus on security techniques.