Yahoo Mail Research Articles

Enhancing Spam Email Classification Using Effective Preprocessing Strategies and Optimal Machine Learning Algorithms

Objective: This article proposes a content-based spam email classification by applying various text pre-processing techniques. NLP techniques have been applied to pre-process the content of an email to get the optimal performance of spam email classification using machine learning. Method: Several combinations of pre-processing methods, such as stopping, removing tags, converting to lower case, removing punctuation, removing special characters, and natural language processing, were applied to the extracted content from the email with machine learning algorithms like NB, SVM, and RF to classify an email as ham or spam. The standard datasets like Enron and SpamAssassin, along with the personal email dataset collected from Yahoo Mail, are used to evaluate the performance of the models. Findings: Applying stemming in pre-processing to the RF classifier yielded the best results, achieving 99.2% accuracy on the SpamAssassin dataset and 99.3% accuracy on the Enron dataset. Lemmatization followed closely with 99% accuracy. In real-world testing on a personal Yahoo email dataset, the proposed method significantly improved accuracy from 89.82% to 97.28% compared to the email service provider's built-in classifier. Additionally, the study found that SVM performs accurately when stop words are retained. Novelty: This article introduces a unique perspective by highlighting the fine-tuning of pre-processing techniques. The focus is on removing tags and certain special characters, while retaining those that improve spam email classification accuracy. Unlike prior works that primarily emphasize algorithmic approaches and pre-defined processing functions, our research delves into the intricacies of data preparation, showcasing its significant impact on spam email classifiers. These findings emphasize the crucial role of pre-processing and contribute to a more nuanced understanding of effective strategies for robust spam detection. Keywords: Spam, Classification, Pre-processing, NLP, Machine Learning

AI Based E-Mail Scraper and Sending Tool

Abstract: Our research ‘AI BASED E-MAIL SCRAPER AND SENDING TOOL’ is basically a fast, affordable and easy-to-find marketing and communication solution. Using email cangreatly help businesses as it provides an efficient and effective way to advertise variety of electronic information. Email extractor is a type of software used to extract email address fromonline bases which generate a huge list of email addresses. Even though these extractors can assist multiple genuine purposes such as marketing campaigns, unfortunately they are mostly used to direct spamming and phishing emails. Email filter is a tool to extract emails based on specified criteria. It split up all types of emails such as Gmail, Yahoo Mail in various text files according to their name automatically. Email validator is a toolto check the validation of email existence these means it checks that given mail is originally exist. It checks the username of email in all the mail facility for the existence. Bulk mail sender tool is work on distribution of a lot of mail at once. You drop anemail list to director to send the letter to the user. You can sendmail to a multiple user at once. There is no restriction for this tosend the mails.

Online Advertising Platforms and Consumer Buying Behaviour towards Consumer Goods in Aba, Abia State, Nigeria

The study examined online advertising platforms and consumer buying behaviour towards consumer goods in Aba, Abia State. The study specifically examined how social media advertising, e-mail advertising, and social networks advertising affect consumer buying behaviour. The study adopted a survey research design and a simple sampling technique. A population of 339,076 customers between 15 – 84 years of age was used for the study. Taro Yamane formula were used to determine a sample of 400 from the population. However, 366 questionnaires were returned from the respondents, forming the study's sample size. Primary data was sourced from the administration of questionnaires to customers in Aba North and Aba South, Abia State. A test-re-test and Cronbach Alpha test were conducted to ensure validity and reliability of the data. The data were presented using simple percentages and frequencies. The hypotheses were tested using simple and multiple regression models (SPSS). The descriptive result shows that 62.3% of the respondents strongly agree that advertising through Facebook pages ignites customers' desire to purchase a product. The majority of the respondents (63.1%) strongly agree that advertisements done on yahoo mail platforms with catchy slogans or phrases appealed to customers' interest and emotions. Most of the respondents (60.7%) strongly agree that Advertisement on Google Play and Google search engine increases customer demand for products. The empirical result revealed that Facebook advertising and WhatsApp advertising positively and significantly affect consumers' desire for a product in Aba, Abia State. Instagram advertising does not significantly affect consumers' desire for a product in Aba, Abia State. E-mail advertising significantly affects consumers' trial purchase of a product in Aba, Abia State. More so, Search engine advertising and Blog advertising positively and significantly affect consumers' decision to adopt a product. Junk message advertising does not significantly affect consumers' decision to adopt a product, Aba, Abia State. In conclusion, social media advertising significantly affects consumer buying behaviour. This is because, Social media often become the second or even first place that customers will look when wanting to learn more about a brand, so it is important that all information and the brand's voice match up across the website and social media channels. It was recommended that businesses should fully embrace social media advertising as social media has come to stay, and advertising via the media is becoming a "global best practice". They will not only reap the benefits of advertising via social media but also be at par with their counterparts in Diaspora.

Classifying Emails into Human vs Machine Category

It is an essential product requirement of Yahoo Mail to distinguish between personal and machine-generated emails. The old production classifier in Yahoo Mail was based on a simple logistic regression model. That model was trained by aggregating features at the SMTP address level. We propose building deep learning models at the message level. We train four individual CNN models: (1) a content model with subject and content as input, (2) a sender model with sender email address and name as input, (3) an action model by analyzing email recipients’ action patterns and generating target labels based on senders’ opening/deleting behaviors and (4) a salutation model by utilizing senders’ "explicit salutation" signal as positive labels. Next, we train a final full model after exploring different combinations of the above four models. Experimental results on editorial data show that our full model improves the adjusted-recall from 70.5% to 78.8% and the precision from 94.7% to 96.0% compared to the old production model. Also, our full model significantly outperforms a state-of-the-art BERT model at this task. Our new model has been deployed to the current production system (Yahoo Mail 6).

Membangun Mail Server Berbasis Linux Menggunakan Postfix dan Dovecot

In today's era, information exchange is fast and can be done in various ways and one of them is using email. There are many free email service providers that can be used, such as Gmail, Yahoo Mail and Outlook. In addition to free services, email servers can also be used to serve communication between clients and transfer data over the local network using a custom domain for the company. The purpose of this report is to build your own email server using the server development method using the Linux Ubuntu 18.04 operating system and the software Postfix and Dovecot as its supports. The results of this mail server work can send emails from one user to another through the terminal directly correctly. Sending can be done directly using the terminal without creating a text first or creating a text before sending it. Both ways are equally successful in the main process in the mail server.

Web-Based Collaborative Learning: A proposed Learning Platform for the School of ICT, Auchi Polytechnic

Technological advancements in the World Wide Web continue to gain widespread adoption, with various kinds of applications finding their use in education, including those for 'digital collaboration'. The term has become widely known for its extension of our traditional means of distributed learning and workflow. In present-day Nigeria, collaboration between students and educators in most tertiary institutions still involves the most basic use of instant messaging tools provided via online chat forums, google groups, WhatsApp, for knowledge sharing over the internet. However, these tools come with their limitations. Take 'Yahoo' and 'google' groups for example; yahoo groups are meant solely for students possessing yahoo mail accounts, and the same applies for google groups. Overall, the user-access convention on these platforms makes it difficult for students to enjoy any cross-platform privileges in the absence of email ownership on the particular service domain. Owing to this, our research project sought to bridge this identified gap, with a pilot project in the School of ICT, Federal Polytechnic, Auchi. We proposed the development and implementation of this unified platform to meet the salient and underlying collaborative need within our learning community. The system (PolyCollab) is a cross-platform web application, hosted on an online server and designed using MVC model architecture. The framework was developed using PHP, CSS3, HTML5, and MySQL for the database. The system was subjected to evaluation by potential users within the institution, and on the whole met with predefined user-specific requirements. Keywords: W eb-Based Learning, Collaborative Learning, Distributed Learning Environment DOI: 10.7176/CEIS/12-2-05 Publication date: April 30 th 2021

Internet-Based Communications: A Threat or Strength to National Security?

This study examined how internet-based communication channels impact on national security in Nigeria. The study was conducted in Enugu State, South East Nigeria. Three research questions guided the study and three null hypotheses were tested at .05 level of significance. A total of 385 internet users were selected using a combination of purposive and snow ball sampling techniques. In the analysis of data for the study, correlation analysis and multiple regression were used. The result of the analysis showed that internet-based media of communication like the Facebook, Gmail, YouTube, Yahoo mail, and Twitter significantly correlate national security. It was also found that there are specific ways through which negative use of the internet could impact negatively on national security. Such predictors include using internet-based media to recruit agents of national security challenges, to finance such efforts, to radicalize such agents, to train such agents, and to spread incitement that may be inimical to national security. It was also found that internet-based media could be useful for creating awareness on national security threats, raising alarm on national security issues, and making people alert on national security issues. Base on the result of this study, the researcher recommends, among others, that the traditional media like radio, TV, newspapers, and magazines should form a synergy with security agencies on how to create awareness to Nigerians regarding how security alertness for the overall benefit of national security.

Information and Communication Technology: Social Networking Sites in Career Centers in Vocational High Schools

This study aims to analyze information and communication technology used by career center institutions in vocational high schools. Career centers in vocational high schools are institutions whose job is to manage graduates by conveying important information about employment. The method used in this research is descriptive. This research involved 9 vocational high schools. Respondents in this study are the heads of career center institutions in vocational high schools. The selection of vocational high school research samples uses the Stratification Sampling technique. The tool used to collect data is a questionnaire. The results of the study found that at career centers in vocational high schools do not use SMS gateways in conveying information, using websites by 43%, tweeters by 71%, yahoo mail and Gmail by 0%, Instagram by 100%, Facebook by 100%, telegrams by 19%, and WhatsApp by 100%. The advantage obtained from the use of social media in vocational high schools is the ease of use criteria with a value of 96%, the ease of interacting with alumni criteria is obtained a score of 92% and the student response criteria of 78%. While the use of social media has disadvantages including students giving responses that are not following the information provided, must be prepared to answer many questions raised by students, and can create content to deliver on social media.

Email Spoofing & Backlashes

The email service is a core platform for Mass communication as a consequence of which, it becomes central Target of all the social engineering and phishing attacks. As a consequence, attackers can try to impersonate or fake a trusted identity to carry out highly sophisticated and deceptive phishing attacks via Email Spoofing. In this work, we analyze: (1) how different Email providers detect and deal with such attacks? (2) Existing protection techniques and what is its scope of effectiveness? (3) Under Which conditions do spoofed emails reach inbox and its potential consequences? (4) Best practices and Adaptability apart from existing methods to remain secure. We address this concern by considering the parameters of top 25 email services (Used by more than billions of users) and also real world experiments. The existing protocols, security layers and the restrictions based on detection methods. The scale of implications by allowing the forged emails to enter the inbox despite getting detected by layers of SPF, DKIM, DMARC and ARC. The extent of problems caused in different paradigms, and the potential of having just SMTP implemented without any additional security layers within the domains. The impact of Misleading UI for allowed spoofed emails by providers is also discussed briefly. We observe the impression of security when users are caught off guard in real world testing on domains (eg. Gmail, Hotmail, Yahoo mail, etc ) by simple platforms to spoof (eg. emkei.cz) apart from discussing the anomalous behavior of gmail as a response. We have conducted experiment to analyze behavior of top email domains against spoofed emails of various types.

Use of Piggybacking Strategy Successfully in a Randomized Controlled Trial on Food Safety Training of Street Food Vendors - An Example from School of Public Health, Post Graduate Institute of Medical Education & Research, Chandigarh, India

Introduction: Piggybacking approach has been extensively used in almost every known field from physical to virtual. In our day today life, we see it use in social networking sites such as Facebook, yahoo mail where multiple applications are carried over/piggybacked on the existing basic connecting platform. In India, this strategy is commonly used in Malaria control programme by distribution of Insecticide Treated Bed Nets (ITNs) through antenatal care or during immunization campaigns for measles and polio. The advantage of piggy backing approach is multi-faceted in terms of resources, time and effort. Materials and Methods: We utilised this opportunity, to piggyback anti-tobacco campaign using health education approaches on concurrent Randomized Controlled Trial (RCT) for assessing the effectiveness of food safety training interventions among street food vendors. Data entry and analysis was done using SPSS version 22.0 and descriptive statistics was used to define the numerical data. Results: So far data of 40 street food vendors (intervention arm=20 and control arm=20) has been analysed. In the intervention arm 11 (n=20) street food vendors were using tobacco in any form compared to 13 (n=20) in the control group at baseline. None of vendors in both the arm had any knowledge regarding FSSAI Act and COTPA at the baseline. 45% (n=9) in the intervention arm were washing hand after consuming any of the tobacco products at first follow up compared to 10% (n=2) at baseline. Conclusion: Piggybacking strategy can be used in public health programmes to augment one intervention over another to achieve favourable public health outcome.

SWEET: Serving the Web by Exploiting Email Tunnels

Open communications over the Internet pose serious threats to countries with repressive regimes, leading them to develop and deploy censorship mechanisms within their networks. Unfortunately, existing censorship circumvention systems do not provide high availability guarantees to their users, as censors can easily identify, hence disrupt, the traffic belonging to these systems using today’s advanced censorship technologies. In this paper, we propose Serving the Web by Exploiting Email Tunnels (SWEET), a highly available censorship-resistant infrastructure. SWEET works by encapsulating a censored user’s traffic inside email messages that are carried over public email services like Gmail and Yahoo Mail. As the operation of SWEET is not bound to any specific email provider, we argue that a censor will need to block email communications all together in order to disrupt SWEET, which is unlikely as email constitutes an important part of today’s Internet. Through experiments with a prototype of our system, we find that SWEET’s performance is sufficient for Web browsing. In particular, regular Websites are downloaded within couple of seconds.

What are the Faculty Lecturers’ knowledge, Attitude and practice toward using social media's in nursing education and research?

Introduction : Social media(such as Yahoo mail, Gmail, Academic email, Facebook, YouTube, Twitter, Skype, Viber, Line, What's app, Telegram and…) has been used globally as a key vehicle for communication. Faculty workers and their roles have been reshaped and redefined by the integration of technology into the academic workplace and for facilitate their communication must be used social medias especially in education and research objectives. So the goal of this study is assessment of Faculty lecturers' knowledge, Attitude and practice toward using social media's in nursing education and research. Method and materials : This pilot study is a descriptive-analytic and questionnaire based with three dimensions (knowledge, attitude and practice of faculty lecturers about social media usage).The study participants were a total of 35 persons that 15 of them were nursing teachers and 18 of them were PhD students that co-operate with Razi nursing faculty of Kerman medical science university in third semester of 2015.after doing the validity and reliability of questionnaire (with responses of 10 PhD students before study and Cronbach alpha of internal correlation = 0.89) and after gathering data we used SPSS version 21 for analysis data. Results : In knowledge questions about social media 42.74% of participants reported have knowledge about details of social media. In the second part, participants also showed that the mean of scores in their attitude about using social media in nursing education was 3.21(SD= 1.31) and about nursing research was 3.30(SD= 1.43) (from 1 to 5).Third part of result reported the participant's practice in social media usage in nursing education and research. The mean range of usage in education field was 13.84% and research was 4.53%. Discussion and conclusion : This study showed percentage of knowledge, attitude and practices in nursing faculty lecturers is not in a good range, Therefore, presenting further complexity and challenges for university administrators and decision makers in developing effective policies is very important issue. Make acceptance of faculty members and their thought about these objectives, is very important for Facilitating teacher-student's communications.

Extracting Passwords and User-Related Data from Yahoo Messenger and Mail Client on Android Phones

The purpose of this paper is to provide a simplified methodology to extract information stored in the internal memory of phone like chat logs, contact history, email history and user login password of a user using a Yahoo Messenger and Yahoo Mail application App on an Android Phone .This will help us classify the fore-mentioned artifacts as per their forensic importance to a forensic investigator depending upon the nature of the digital crime being analyzed. The introduction of smartphones into the market has opened up a whole new scope of possibilities on how a mobile phone can be used by a user. The modern day smartphones are capable of strongly competing with computers in terms of the functionality and features that they can provide. Some of these features include email support, instant messengers, interactive games, GPS navigation, music player, document viewers and readers. The feature which we intend to primarily focus on in this paper is Yahoo instant messenger applications and Yahoo mail client application that can be freely downloaded and installed on Android Smartphone. The recovery of digital evidence in the form of user names, Passwords, conversations and contacts details on Instant messengers and mail clients may yield valuable information regarding the suspect/victim’s chatting and email history or their contacts list details.

AN EFFECTIVE SPAM FILTERING FOR DYNAMIC MAIL MANAGEMENT SYSTEM

Spam is commonly defined as unsolicited email messages and the goal of spam categorization is to distinguish between spam and legitimate email messages. The economics of spam details that the spammer has to target several recipients with identical and similar email messages. As a result a dynamic knowledge sharing effective defense against a substantial fraction of spam has to be designed which can alternate the burdens of frequent training stand alone spam filter. A weighted email attribute based classification is proposed to mainly focus to encounter the issues in normal email system. These type of classification helps to formulate an effective utilization of our email system by combining the concepts of Bayesian Spam Filtering Algorithm, Iterative Dichotmiser 3(ID3) Algorithm and Bloom Filter. The details captured by the system are processed to track the original sender causing disturbances and prefer them to block further mails from them. We have tested the effectiveness of our scheme by collecting offline data from Yahoo mail & Gmail dumps. This proposal is implemented using .net and sample user-Id for knowledge base.

Is Your Email Box Safe?

Electronic mail (email) is a widely adopted communication mechanism often used to communicate sensitive and confidential information. Therefore, safeguarding the security of email accounts and letters has become an important issue. There are frequent media reports pertaining to security problems with email accounts. Therefore, studies on strengths, limitations, and possible improvements about email security are essential. This paper examined security and privacy protection mechanisms of four leading email service providers: Gmail, Yahoo Mail, Hotmail, and AOL Mail. A number of observations and experiments were conducted in order to understand existing security and privacy protection mechanisms of these providers. After that, this paper proposes some recommended protection mechanisms, which can be implemented by service providers, system developers, and email users. This study also explores several research avenues for academia.