Robots or bots are an integral part of the computer software. Bots are preferred over humans in many services due to its perceivable passionate personality. This paper discusses about the different types of bots, their usage and how bots have impacted the Software Security. Apart from using Bots to provide services to the user, bots are also used to spread malware and hijack distributed computer networks, compromising critical information. The paper also proposes some measures to enhance the security of bots.

Mobile applications and portable devices are being used extensively in the healthcare sector due to their rapid development. Wearable devices having sensors can be used to collect, analyze, and transmit the vital signs of the wearer. In this paper, we have proposed a wearable expert system that supports and monitors the skier during his activity. This research work is motivated by the need to provide rapid assistance to skiers, especially during off-piste skiing, where its more dangerous, and seeking help is difficult with mishaps. Our approach mainly focuses on proposing an expert system that integrates wearable devices (helmet, goggles, digital watch) with the skier’s smartphone. We present an architecture model and knowledge artifacts to design a wearable expert system for skiing.

Employees are important assets of an Organization. A successful organization needs to consider employees' careers, skill sets and opportunities for them to grow in different domains while aligning with its long-term vision. An organization should be able to provide ample career choices for their employees. Also, the employees should be given the liberty to choose from possible career options provided by the organization. The proposed solution involves the formation of an Analytical model to address these concerns in terms of: A. Organization: i) to predict skill set gaps of its employees for upcoming and current designations, ii) ensure organization's vision is aligned with employee's skills, iii) create opportunities for employees to explore different career options with their current skills, iv) forecast attrition and assist in internal job requisitions. B. Employee: i) to visualize career transitions and explore different career opportunities, ii) recommend skills and trainings to acquire those skills for job roles in new business areas. The solution represents attributes for designations, skills and job profile of employees for an organization based on career history that serves as data set for user-based collaborative filtering, hence recommendations can be provided for Employees and Organization. This model will improve the employee's engagement within the organization, helps to reduce the probable attritions and foster a culture of trust. Organizations can effectively understand their employees. Employees can anticipate their careers.

A method may include generating a first database query to retrieve user profiles from a database. The user profiles may include a first attribute and a second attribute associated with a plurality of users. Reference data may be generated based on the user profiles. The reference data may include matrix representations of the user profiles. A clustering technique may be applied to the reference data in order to determine that a first user is similar to a second user with respect to the first attribute. In response to determining that the first user is similar to the second user, a second database query may be generated to retrieve a user profile of the first user from the database. A first recommendation for the second user may be determined based on the user profile of the first user. The first recommendation may include the second attribute of the first user.

A method for generating graph based recommendations may be provided. The method may include querying a database to at least retrieve one or more resource profiles from the database. A graph representative of the one or more resource profiles retrieved from the database may be generated. The graph representative of the one or more resource profiles may include at least one relationship between a first attribute and a second attribute included in the one or more resource profiles. A recommendation for a target user may be generated based on at least a portion of the graph representative of the one or more resource profiles. Related systems and articles of manufacture, including computer program products, are also provided.