With the amount of email spam received these days it is hard to imagine that spammers act individually. Nowadays, most of the spam emails have been sent from a collection of compromised machines controlled by some spammers. These compromised computers are often called bots, using which the spammers can send massive volume of spam within a short period of time. The motivation of this work is to understand and analyze the behavior of spammers through a large collection of spam mails. My research examined a the data set collected over a 2.5-year period and developed an algorithm which would give the botnet features and then classify them into various groups. Principal component analysis was used to study the association patterns of group of spammers and the individual behavior of a spammer in a given domain. This is based on the features which capture maximum variance of information we have clustered. Presence information is a growing tool towards more efficient communication and providing new services and features within a business setting and much more. The main contribution in my thesis is to propose the willingness estimator that can estimate the callee's willingness without his/her involvement, the model estimates willingness level based on call history. Finally, the accuracy of the proposed willingness estimator is validated with the actual call logs.

The present study was conducted to explore the effectiveness of a worksite stress management program delivered via electronic mail (e-mail). One hundred and thirty-seven employed adults (36 males, 102 females; mean age = 29.46) from several diverse businesses consented to participate. The volunteers completed Cohen's Perceived Stress Scale, the Daily Hassles Scale, the Daily Work Hassles Scale, the TCU Self-Ratings Scales, and a demographic and opinion questionnaire. Individuals in the treatment group received e-mail messages twice weekly and had access to a website for three months about a variety of cognitive-behavioral techniques for managing worksite stress. A MANCOVA of post-intervention stress levels indicated that individuals who received the stress management messages perceived the same amount of stressors and hassles as individuals who did not receive the messages [F (5, 86) = 0.95, p = .45]. However, a MANCOVA of post-intervention perceived mood states revealed a tendency for individuals in the treatment group to be less depressed, anxious, and angry than individuals in the control group [F (3, 92) = 2.44, p = .07]. Demographic variables did not influence the outcome variables and pre- and post-test absenteeism and illness rates were similar for treatment and control groups. Coping skill usage was similar in amount and frequency, but differed in quality between the groups. The findings of the present study indicate that health promotion programs can be feasibly and effectively delivered via e-mail in the worksite.

Email connects 85% of the world. This paper explores the pattern of information overload encountered by majority of email users and examine what steps key email providers are taking to combat the problem. Besides fighting spam, popular email providers offer very limited tools to reduce the amount of unwanted incoming email. Rather, there has been a trend to expand storage space and aid the organization of email. Storing email is very costly and harmful to the environment. Additionally, information overload can be detrimental to productivity. We propose a simple solution that results in drastic reduction of unwanted mail, also known as graymail.

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The motivation of this work is to understand E-shape analysis and how it can be applied to various classification tasks. It has a powerful feature to not only look at what information is contained, but rather how that information looks. This new technique gives E-shape analysis the ability to be language independent and to some extent size independent. In this thesis, I present a new mechanism to characterize an email without using content or context called E-shape analysis for email. I explore the applications of the email shape by carrying out a case study; botnet detection and two possible applications: spam filtering and social-context based finger printing. The second part of this thesis takes what I apply E-shape analysis to activity recognition of humans. Using the Android platform and a T-Mobile G1 phone I collect data from the triaxial accelerometer and use it to classify the motion behavior of a subject.

published_or_final_version / Business Administration / Master / Master of Business Administration

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A research report submitted to the Faculty of Humanities, School of Human and Community Development, in partial fulfilment of the requirements for the degree of Master of Arts by coursework and research report in the field of in Organisational Psychology, University of the Witwatersrand, Johannesburg September 2017 / Emails have become a fundamental computer application and business tool, in organisations across the global. This is because of the accessibility and convenience of emails which have generated an array of benefits to both employees and their organisations. However, this accessibility has led to an over-reliance on emails, which often has the negative consequence of email overload. Email overload continues to be a recurring issues experienced by employees universally, which research has found to have negative implications on employees’ wellbeing and productivity. Yet there has been limited research, particularly in South Africa, that aims to reduce email overload among employees. Thus, this research report investigated how the role of providing employees with a job resource (training intervention) could increase perceived productivity and eliminate email overload and change caused by the job demands (emails) on employees .In order to examine this effect, this research utilised a pretest post-test control group design on order to compare the impact of a training intervention in reducing email overload and increasing productivity. The quantitative results revealed that the training intervention contributed to a decrease in feelings of email overload among the participants. Additionally, focus groups were administered to determine participants’ experience with emails both prior to the training and after the training, to gain a clearer understanding of the best practices used to eliminate email overload. These findings observed that the participants transferred learnt contents from training into their working lives. Thus research both further contributes to other research currently associated with email and email overload, and also provides a greater understanding of the need to provide employees with job resources much like training intervention in order to counteract those job demands like emails, that are often ignored. / XL2018

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