This paper conducts an intricate analysis of musical emotions and trends using Spotify music data, encompassing audio features and valence scores extracted through the Spotipi API. Employing regression modeling, temporal analysis, mood transitions, and genre investigation, the study uncovers patterns within music-emotion relationships. Regression models linear, support vector, random forest, and ridge, are employed to predict valence scores. Temporal analysis reveals shifts in valence distribution over time, while mood transition exploration illuminates emotional dynamics within playlists. The research contributes to nuanced insights into music's emotional fabric, enhancing comprehension of the interplay between music and emotions through years.
Financial institution are facing thoughtful challenges with loud rising number of credit card fraud occurrences across the globe. Although fraud has been a leading problem since the beginning of time, its operations in this present-day consent with various classes of people due to the availability of internet. Consequently, the matter of security is primary motivation […]
The explosive increase in the adoption of Information Technology in electronic commerce and other facets of human life has resulted in corresponding increase in concerns for security and privacy of parties involved. The very frequent and frightening rate at which data or users’ privacy breaches occur today implies that carrying out online transactions can pose […]
This paper investigated the impact of COVID-19 pandemic on information technology, telecommunication and social technologies use in information sharing and dissemination as well as in teaching and learning. The pandemic changed the world-view and general operations in technology and secular activities. The outbreak of the pandemic brought to the fore the use of virtual devices […]
This presentation explores the context of fear that permeates the application of cybersecurity and its research. For cybersecurity professionals, fear appeals in cybersecurity reports are designed to provoke a client, end-user and organization into taking security more seriously. It is suggested that a third space between the sometimes polarized perspectives of the cybersecurity professional and […]
More than a decade of papers talking about preventing SPIT (SPam over Internet Telephony), yet we still receive spam calls these days. We recover here an old proposal about issuing secret codes to potential callers, which they are to provide on each call-in order to prove legitimacy. As an up-to-date contribution, we suggest an out […]
In this paper, we propose a novel hash function to be used on payloads outside the rails of a usual transaction — that is, through an unsafe communication method—to transfer Personal Identifiable Information in an anonymized yet still useful way to help indicate if the author of the purchase is indeed who they indicate they […]
Reinforcement Learning (RL) has been around for some time now, and various issues have been associated with the provision. In the last two years, RL has realized a boost in popularity through deep learning. For instance, RL played a critical role in the DeepMind AlphaGo program that was crucial to beating a top-level Go player […]
Cyber ranges are often used to enhance the cybersecurity posture of a company by training relevant skills. These environments are traditionally used to host exercises that simulate cybersecurity scenarios, improve the cybersecurity skills of employees and enhance the security of networks and processes. By using digital twins, it is possible to organise cyber range trainings […]
Elasticity is an important feature of cloud computing, which allocates/de-allocates adequate computing resources automatically and provisions and de-provisions computing resources timely when the workload fluctuates. It can help in better resource utilization. Elasticity can address the challenges of limited physical resources such as cost, computing power, storage capacity, etc. In cloud computing, the cloud providers […]
Hardware failures occur more often than we think. Environmental hazards such as electrical fires and liquid spills are easily detected and measured. Programming errors and defective hardware components (such as hard disk spindle defects) often lead to invalid operations, and we understand how and why. However, other less predictable forms of environmental stress such as […]
The rate of trade in and out of cryptocurrency has grown tremendously in the last two years. Statista, for example, claims that in May 19, 2021, the trade volume in the entire cryptomarket was worth over 500 billion U.S. dollars, as compared to four billion two weeks prior to that. One aspect making it difficult […]
In recent times, organizations have faced many cyberattacks daily. The Internet is the main means of these attacks. Between the time an attack occurs, is detected, and a remedy is found and implemented, a lot of damage might have been done. Thus, there is a great need to get much faster detection and remedial times. […]
Developing countries trail behind in many things especially in the technology space such as telecommunications. This concern has taken precedence on how telecommunications infrastructure is rolled out, what to use and how to use it. With the dynamic nature of ICT the major modifications and technological advancements are always meant to better systems, uptime, scalability […]
Tenant harassment is a common occurrence affecting many people around the world. However, many less privileged people have had un-told hardships from greedy and gain-loving landlords or agents who use a variety of tactic to make life uneasy for tenants. This research, therefore, develops a machine learning algorithm to predict the possibility of a tenant […]
The prospect of a state-sponsored or organized group (e.g., terrorist) cyber-attack is a rising concern for both government and private strategists. In our research we have found that South Asian country governments are apathetic about cyber security. Apathetic does not require state-sponsored hackers to exert too much effort to easily embarrass the governments of South […]
Malware detection is an important factor in the security of the computer systems. However, currently utilized signature-based methods cannot provide accurate detection of attacks and polymorphic viruses. That is why the need for malware detection using machine learning arises. This work was motivated by the limitation of [1] in ‘Malware Detection Module using Machine Learning […]
Due to increasing applicability of information technology to various aspects of life as well as rapid and the technological advancement witnessed in our societies today, there is rapid increase in the use of information systems in various organizations. Information shared across these systems is usually sensitive information that unauthorized access to may result in crisis. […]
