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首页> 外文期刊>International Journal of Computer Networks & Communications >Discovery of Malicious Attacks to Improve Mobile Collaborative Learning (MCL
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Discovery of Malicious Attacks to Improve Mobile Collaborative Learning (MCL

机译:发现恶意攻击以改善移动协作学习(MCL)

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摘要

Mobile collaborative learning (MCL) is highly acknowledged and focusing paradigm in eductional institutions and several organizations across the world. It exhibits intellectual synergy of various combined minds to handle the problem and stimulate the social activity of mutual understanding. To improve and foster the baseline of MCL, several supporting architectures, frameworks including number of the mobile applications have been introduced. Limited research was reported that particularly focuses to enhance the security of those pardigms and provide secure MCL to users. The paper handles the issue of rogue DHCP server that affects and disrupts the network resources during the MCL. The rogue DHCP is unauthorized server that releases the incorrect IP address to users and sniffs the traffic illegally. The contribution specially provides the privacy to users and enhances the security aspects of mobile supported collaborative framework (MSCF). The paper introduces multi-frame signature-cum anomaly-based intrusion detection systems (MSAIDS) supported with novel algorithms through addition of new rules in IDS and mathematcal model. The major target of contribution is to detect the malicious attacks and blocks the illegal activities of rogue DHCP server. This innovative security mechanism reinforces the confidence of users, protects network from illicit intervention and restore the privacy of users. Finally, the paper validates the idea through simulation and compares the findings with other existing techniques
机译:移动协作学习(MCL)在世界范围内的教育机构和多家组织中得到了高度认可,并专注于范式。它表现出各种共同心智的共同作用,以处理问题并激发相互理解的社会活动。为了改善和促进MCL的基准,已经引入了几种支持的体系结构,框架,包括许多移动应用程序。据报道,有限的研究特别关注于增强这些范例的安全性并向用户提供安全的MCL。本文处理了在MCL期间影响和破坏网络资源的流氓DHCP服务器的问题。流氓DHCP是未经授权的服务器,会向用户释放错误的IP地址并非法嗅探流量。该贡献专门为用户提供了隐私,并增强了移动支持的协作框架(MSCF)的安全性。本文通过在IDS和数学模型中添加新规则,介绍了采用新颖算法支持的多帧签名和基于异常的入侵检测系统(MSAIDS)。贡献的主要目标是检测恶意攻击并阻止流氓DHCP服务器的非法活动。这种创新的安全机制增强了用户的信心,保护网络免受非法干预并恢复了用户的隐私。最后,本文通过仿真验证了该想法,并将发现的结果与其他现有技术进行了比较

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