Monitoring and Evaluating Open Wireless LAN using Hybrid IDS

In this ever-growing wireless technology era, the number of Open Wireless Local Area Network (WLAN) are on the rise. From cafes to shopping areas, most of them offer users with a free-to-use WLAN which popularly known as Open Wi-Fi or Wi-Fi Hotspots. Although it is a convenient for them to access the Internet at these places, later they know it also makes them a vulnerable target for attackers that might be lurking in the same network they are connected. Therefore, a Hybrid IDS that combines both SNORT, a network-based IDS (NIDS) and OSSEC, a host-based IDS (HIDS) was developed to curb the problem. NIDS was used to monitor network traffics while HIDS monitor user’s system for any suspicious activities. Then, a system that can control and manage both IDS in the much easier and simpler way was developed using Python programming language. The system then can generate alerts with the help of both IDS to notify users for any suspicious activities that might occur in the network or user’s system. Several attacks were launched from the attacker’s laptop to test whether Hybrid IDS can generate alerts to notify the victim. As a result, the system breeze through the testing phase by showing necessary output. All the results were taken and then compared with other scenarios to determine whether they can give the same results as Hybrid IDS. From the comparison results, it can be said that Hybrid IDS can give the extra protection layer towards Open Wi-Fi users. Therefore, the Hybrid IDS was proven to provide vast tracking detection for suspicious activity in the network environments by monitor and alert the users about malicious activities. 

Practicing CPA, vol. 30 no. 1, January 2006

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Web Service Deployment for Selecting a Right Steganography Scheme for Optimizing Both the Capacity and the Detectable Distortion

The principal objective of this effort is to organize a network facility to hide the secret information in an image folder without disturbing its originality. In the literature lot of algorithms are there to hide the information in an image file but most of it consumes high resource for completing the task which is not suitable for light weight mobile devices. Few basic algorithms like 1LSB, 2LSB and 3LSB methods in the literature are suitable for mobile devices since the computational complexity is very low. But, these methods either lack in maintaining the originality of the source image or in increasing the number of bits to be fixed. Furthermore, every algorithm in the literature has its own merits and demerits and we cannot predict which algorithm is best or worst since, based on the parameters such as size of the safety duplicate and encryption algorithm used to generate the cipher text the steganography schemes may produce best or worst result with respect to computational complexity, capacity, and detectable distortion. In our proposed work, we have developed a web service that takes cover image and plain text as the input from the clients and returns the steganoimage to the clients. The steganoimage will be generated by our proposed work by analyzing the above said parameters and by applying the right steganography scheme. The proposed work helps in reducing the detectable distortion, computational complexity of the client device, and in increasing the capacity. The experimental result says that, the proposed system performs better than the legacy schemes with respect to capacity, computational complexity, and detectable distortion. This proposed work is more useful to the client devices with very low computational resource since all the computational tasks are deployed in the server side

Wireless Handheld Solution for the Gaming Industry

of the essential elements of success in the gaming industry is the requirement of providing exceptional customer service. Technology plays a significant role in bringing state of the art solutions that enhance the overall customer experience. Currently a guest must go through multiple steps and a variety of departments to simply resolve issues with their player accounts (loyalty programs), update customer profiles, book hotel and restaurant reservations, sign up for promotions, etc. In order to effectively take care of these customers in both a timely and efficient manner, a wireless handheld device is needed that employees can carry with them to resolve and address these concerns. This project is aimed at identifying the proper wireless infrastructure for the gaming environment and also the wireless handheld device, such as an Ultra Mobile PC (UMPC) to effectively and efficiently take care of customers

A risk analysis and risk management methodology for mitigating wireless local area networks (WLANs) intrusion security risks

Every environment is susceptible to risks and Wireless Local Area Networks (WLANs) based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 standard are no exception. The most apparent risk of WLANs is the ease with which itinerant intruders obtain illicit entry into these networks. These intrusion security risks must therefore be addressed which means that information security risk analysis and risk management need to be considered as integral elements of the organisation’s business plan. A well-established qualitative risk analysis and risk management methodology, the Operationally Critical Threat Asset and Vulnerability Evaluation (OCTAVE) is selected for conducting the WLAN intrusion security risk analysis and risk management process. However, the OCTAVE risk analysis methodology is beset with a number of problems that could hamper a successful WLAN intrusion security risk analysis. The ultimate deliverable of this qualitative risk analysis methodology is the creation of an organisation-wide protection strategy and risk mitigation plan. Achieving this end using the OCTAVE risk analysis methodology requires an inordinate amount of time, ranging from months to years. Since WLANs are persistently under attack, there is a dire need for an expeditious risk analysis methodology. Furthermore, the OCTAVE risk analysis methodology stipulates the identification of assets and corresponding threat scenarios via a brainstorming session, which may be beyond the scope of a person who is not proficient in information security issues. This research was therefore inspired by the pivotal need for a risk analysis and risk management methodology to address WLAN intrusion attacks and the resulting risks they pose to the confidentiality, integrity and availability of information processed by these networks. CopyrightDissertation (MSc (Computer Science))--University of Pretoria, 2006.Computer Scienceunrestricte

Top 10 technologies 2003 and their impact on the accounting profession

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Indoor navigation systems based on data mining techniques in internet of things: a survey

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Internet of Things (IoT) is turning into an essential part of daily life, and numerous IoT-based scenarios will be seen in future of modern cities ranging from small indoor situations to huge outdoor environments. In this era, navigation continues to be a crucial element in both outdoor and indoor environments, and many solutions have been provided in both cases. On the other side, recent smart objects have produced a substantial amount of various data which demands sophisticated data mining solutions to cope with them. This paper presents a detailed review of previous studies on using data mining techniques in indoor navigation systems for the loT scenarios. We aim to understand what type of navigation problems exist in different IoT scenarios with a focus on indoor environments and later on we investigate how data mining solutions can provide solutions on those challenges

A critical review of intrusion detection systems in the internet of things : techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on everyday life to large industrial systems. Unfortunately, this has attracted the attention of cybercriminals who made IoT a target of malicious activities, opening the door to a possible attack on the end nodes. To this end, Numerous IoT intrusion detection Systems (IDS) have been proposed in the literature to tackle attacks on the IoT ecosystem, which can be broadly classified based on detection technique, validation strategy, and deployment strategy. This survey paper presents a comprehensive review of contemporary IoT IDS and an overview of techniques, deployment Strategy, validation strategy and datasets that are commonly applied for building IDS. We also review how existing IoT IDS detect intrusive attacks and secure communications on the IoT. It also presents the classification of IoT attacks and discusses future research challenges to counter such IoT attacks to make IoT more secure. These purposes help IoT security researchers by uniting, contrasting, and compiling scattered research efforts. Consequently, we provide a unique IoT IDS taxonomy, which sheds light on IoT IDS techniques, their advantages and disadvantages, IoT attacks that exploit IoT communication systems, corresponding advanced IDS and detection capabilities to detect IoT attacks. © 2021, The Author(s)