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Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features

机译:基于NLP特征的遗传决策树处理的高效垃圾邮件检测策略

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摘要

In this modern era, each and everything is computerized, and everyone has their own smart gadgets to communicate with others around the globe without any range limitations. Most of the communication pathways belong to smart applications, call options in smartphones, and other multiple ways, but e-mail communication is considered the main professional communication pathway, which allows business people as well as commercial and noncommercial organizations to communicate with one another or globally share some important official documents and reports. This global pathway attracts many attackers and intruders to do a scam with such innovations; in particular, the intruders generate false messages with some attractive contents and post them as e-mails to global users. This kind of unnecessary and not needed advertisement or threatening mails is considered as spam mails, which usually contain advertisements, promotions of a concern or institution, and so on. These mails are also considered or called junk mails, which will be reflected as the same category. In general, e-mails are the usual way of message delivery for business oriented as well as any official needs, but in some cases there is a necessity of transferring some voice instructions or messages to the destination via the same e-mail pathway. These kinds of voice-oriented e-mail accessing are called voice mails. The voice mail is generally composed to deliver the speech aspect instructions or information to the receiver to do some particular tasks or convey some important messages to the receiver. A voice-mail-enabled system allows users to communicate with one another based on speech input which the sender can communicate to the receiver via voice conversations, which is used to deliver voice information to the recipient. These kinds of mails are usually generated using personal computers or laptops and exchanged via general e-mail pathway, or separate paid and nonpaid mail gateways are available to deal with certain mail transactions. The above-mentioned e-mail spam is considered in many past researches and attains some solutions, but in case of voice-based e-mail aspect, there will be no options to manage such kind of security parameters. In this paper, a hybrid data processing mechanism is handled with respect to both text-enabled and voice-enabled e-mails, which is called Genetic Decision Tree Processing with Natural Language Processing (GDTPNLP). This proposed approach provides a way of identifying the e-mail spam in both textual e-mails and speech-enabled e-mails. The proposed approach of GDTPNLP provides higher spam detection rate in terms of text extraction speed, performance, cost efficiency, and accuracy. These all will be explained in detail with graphical output views in the Results and Discussion.
机译:在这个现代时代,一切都是计算机化的,每个人都有自己的智能小工具,可以与全球其他人进行交流,没有任何范围限制。大多数通信途径属于智能应用程序、智能手机中的呼叫选项和其他多种方式,但电子邮件通信被认为是主要的专业通信途径,它允许商务人士以及商业和非商业组织相互通信或在全球范围内共享一些重要的官方文件和报告。这种全球途径吸引了许多攻击者和入侵者利用此类创新进行诈骗;特别是,入侵者会生成包含一些吸引人的内容的虚假消息,并将其作为电子邮件发布给全球用户。这种不必要且不需要的广告或威胁邮件被视为垃圾邮件,通常包含广告、关注或机构的促销等。这些邮件也被视为或称为垃圾邮件,它们将反映为同一类别。一般来说,电子邮件是面向业务以及任何官方需求的常用消息传递方式,但在某些情况下,有必要通过相同的电子邮件路径将一些语音指令或消息传输到目的地。这些面向语音的电子邮件访问称为语音邮件。语音邮件通常用于将语音方面的指令或信息传递给接收者,以执行某些特定任务或向接收者传达一些重要信息。支持语音邮件的系统允许用户根据语音输入相互通信,发送者可以通过语音对话与接收者进行通信,语音对话用于将语音信息传递给接收者。这些类型的邮件通常使用个人计算机或笔记本电脑生成,并通过一般电子邮件路径进行交换,或者可以使用单独的付费和非付费邮件网关来处理某些邮件交易。上述垃圾邮件在过去许多研究中都得到了考虑,并取得了一些解决方案,但是在基于语音的电子邮件方面,将没有管理此类安全参数的选项。在本文中,针对支持文本和支持语音的电子邮件处理了一种混合数据处理机制,称为遗传决策树处理与自然语言处理(GDTPNLP)。所提出的方法提供了一种在文本电子邮件和启用语音的电子邮件中识别垃圾邮件的方法。所提出的 GDTPNLP 方法在文本提取速度、性能、成本效益和准确性方面提供了更高的垃圾邮件检测率。所有这些都将在结果和讨论中通过图形输出视图进行详细解释。

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