8 research outputs found

    Analysis of the security and reliability of packet transmission in Wireless Mesh Networks (WMNs) : a case study of Malicious Packet drop attack

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    Wireless Mesh Networks (WMNs) are known for possessing good attributes such as low up-front cost, easy network maintenance, and reliable service coverage. This has largely made them to be adopted in various areas such as; school campus networks, community networking, pervasive healthcare, office and home automation, emergency rescue operations and ubiquitous wireless networks. The routing nodes are equipped with self-organized and self-configuring capabilities. The routing mechanisms of WMNs depend on the collaboration of all participating nodes for reliable network performance. However, it has been noted that most routing algorithms proposed for WMNs in the last few years are designed with the assumption that all the participating nodes will collaboratively be involved in relaying the data packets originated from a source to a multi-hop destination. Such design approach exposes WMNs to vulnerability such as malicious packet drop attack. Therefore, it is imperative to design and implement secure and reliable packet routing mechanisms to mitigate this type of attack. While there are works that have attempted to implement secure routing approach, the findings in this research unearthed that further research works are required to improve the existing secure routing in order to provide more secure and reliable packet transmission in WMNs, in the event of denial of service (DoS) attacks such black hole malicious pack drop attack. This study further presents an analysis of the impact of the black hole malicious packet drop attack with other influential factors in WMNs. In the study, NS-3 simulator was used with AODV as the routing protocol. The results show that the packet delivery ratio and throughput of WMN under attack decreases sharply as compared to WMN free from attack

    Next generation, secure cloud-based pan-European information system for enhanced disaster awareness

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    Information management in disaster situations is challenging, yet critical for efficient response and recovery. Today information flows are difficult to establish, partial, redundant, overly complex or insecure, besides the interoperability between heterogeneous organisations is limited. This paper presents a novel system architecture that enables combining of several communication technologies in a secure manner. This supports creation of a pan-European 'Common Information Space' by rescue organizations that can enable more efficient and effective information management in disaster response. Moreover, this technology can be used for disaster preparedness (e.g., training, tutorials). The modular architecture is designed to consider future evolutions of technology by defining interfaces for the integration of new technologies and services

    Understanding the Performance of Software Defined Wireless Sensor Networks under Denial of Service Attack

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    Wireless sensor networks (WSN) are formed from restricted devices and are known to be vulnerable to denial of service (DoS) security attacks. In parallel, software-defined networking has been identified as a solution for many WSN challenges with respect to flexibility and reuse. Conversely, the SDN control plane centralization may bring about new security threats and vulnerabilities. In this work, we perform a traffic analysis of software-defined WSN (SDWSN) in order to gain understanding of the network's performance when it is under certain types of DoS attacks. In particular, we consider three different DoS scenarios of increasing aggressiveness: (i) false flow requests DoS, (ii) false data flow forwarding DoS, and, (iii) false neighbor information passing DoS. Our simulation results for the latter two types of attack showed significant changes both in the average value and the variance of the delivery rate and the overall overhead. These results demonstrate that it is possible to identify when a SDWSN is under a particular type of DoS, by monitoring the respective quantities

    Twin-Component Near-Pareto Routing Optimization for AANETs in the North-Atlantic Region Relying on Real Flight Statistics

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    Integrated ground-air-space (IGAS) networks intrinsically amalgamate terrestrial and non-terrestrial communication techniques in support of universal connectivity across the globe. Multi-hop routing over the IGAS networks has the potential to provide long-distance highly directional connections in the sky. For meeting the latency and reliability requirements of in-flight connectivity, we formulate a multi-objective multi-hop routing problem in aeronautical ad hoc networks (AANETs) for concurrently optimizing multiple end-to-end performance metrics in terms of the total delay and the throughput. In contrast to single-objective optimization problems that may have a unique optimal solution, the problem formulated is a multi-objective combinatorial optimization problem (MOCOP), which generally has a set of trade-off solutions, called the Pareto optimal set. Due to the discrete structure of the MOCOP formulated, finding the Pareto optimal set becomes excessively complex for large-scale networks. Therefore, we employ a multi-objective evolutionary algorithm (MOEA), namely the classic NSGA-II for generating an approximation of the Pareto optimal set. Explicitly, with the intrinsic parallelism of MOEAs, the MOEA employed starts with a set of candidate solutions for creating and reproducing new solutions via genetic operators. Finally, we evaluate the MOCOP formulated for different networks generated both from simulated data as well as from real historical flight data. Our simulation results demonstrate that the utilized MOEA has the potential of finding the Pareto optimal solutions for small-scale networks, while also finding a set of high-performance nondominated solutions for large-scale networks

    2019 EC3 July 10-12, 2019 Chania, Crete, Greece

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    Parental Awareness on Teenage Smoking Behavior in Yogyakarta and Bali

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    Smoking or being healthy is not a suitable offers to young teenagers (ages 13-15 years), because they have not able to take responsibility for the negative impacts of their choices on smoking behaviors. In addition, they have not been well informed about cigarettes and their dangers. The data indicate that there was a high rate of smoking behavior for adolescents aged 13-15 years (55.71%), including trial smoking behavior. However, only 39% of parents are aware of their children smoking behavior. This study aims were determining the awareness of parents and its form on the smoking behavior of their teenage children after treatment. The design of this study was a pre-posttest experiment with control group design. Around 301 parents of 8th grade boy student from 7 junior high schools were considered respondents. The latter came from 2 locations namely Yogyakarta and Tabanan Bali. For determining the respondents, cluster random sampling was used. The respondents were grouped into 3 groups (X1 treatment group, X2 treatment group and control group). The treatment is to provide information about cigarettes and its danger. It was given once by health workers. The measured variable is the respondent awareness and its form that was obtained from the students using selfreported questionnaire. Data were analyzed using Kruskal Wallis and Chi-square test with 0.05 level of significant. The results showed that there was a significant increase the parental awareness after treatment (p value 0.0001). This can happen because the intervention strengthened the predisposing factor to realize the respondents’ caring behavior as well as the concept of behavioral determinant of LW Green. In the X2 treatment group (non-smoker respondents) showed a higher increase of parental awareness than X1 treatment group (smoker respondents) and control group. This happens because they get support from health workers and get healthy conditions as resulted from their behavior. They will continue to remain as nonsmokers and encourage their teenage children to look up to them in order to get a similar reward, as the law of effect theory by E.L Thorndike made it clear. The form of awareness that many parents chose is the message upholding the primary prevention. The conclusion of the research stresses on continuously fetching more knowledge about cigarettes and its dangers, as one of the best mechanisms that can increase the parental awareness against teenage smoking behavior
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