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The Digital Fingerprinting Analysis of Generic Twitter Sessions from Internet of Things Security Aspect

机译:事物互联网上通用Twitter会话的数字指纹分析安全方面

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摘要

Nowadays, the unparalleled growth of Internet of Things (IoT) is a new digital disruption which intelligent devices are connected and working together. IoT connects personal computers, tablets, and smart phones in our daily communications from leisure purposes to business tasks. However, the security concern of IoT can't be overemphasized due to the connectivity among communication gadgets. Sustainably, Twitter is one of the most popular Instant Message (IM) toolkits today. When Twitter is being utilized, there will be some negligible and imperceptible digital remnants left in the computing devices, which could be probative digital evidences in a court of law when IoT application is involved. Hence, the digital forensics of IM has been a relatively rigorous, competitive, and novel research field by the law enforcement agency officers and the information security staffs with respect to some cybercrimes concerning IoT. Consequently, this research is targeting on the utilization of Twitter on the desktop PC under Windows 7 operating system via the acquisition of volatile digital bread crumbs inside physical memory of the computing device for the purpose of presenting supportive digital evidences for some information security concerns. The proposed various scenarios in the design of the experiment could be the paradigms for digital forensics specialists or law enforcement agencies to follow in order to reconstruct the previous operations in the Twitter sessions of a certain user under the IoT ecosystems.
机译:如今,无与伦比的东西增长(物联网)是一种新的数字中断,智能设备连接和一起工作。 IOT在我们的日常通信中连接个人计算机,平板电脑和智能手机,从休闲目的到商业任务。但是,由于通信小工具之间的连接,IOT的安全问题无法赘差。可持续地,Twitter是今天最受欢迎的即时消息(IM)工具之一。当正在使用Twitter时,计算设备中剩下的一些可忽略不可能的数字残余物,当涉及IOT申请时,可以在法庭上是概念数字证据。因此,IM的数字取证是由执法机构官员和信息安全员工的一部分是一个相对严格的,竞争和新的研究领域,了解有关某些关于IOT的网络犯罪。因此,该研究是通过获取计算装置的物理存储器内的挥发性数字面包屑下的Windows 7操作系统下的桌面PC下的推特,以便为某些信息安全问题提出支持性数字证据。在实验设计中提出的各种情景可能是数字取证专家或执法机构的范式遵循,以便在IOT生态系统下的某些用户的Twitter会话中重建之前的操作。

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