International Journal of Information Systems and Informatics

The Dynamics and Implications of the Internet of Things on Data Mining

Bongs Lainjo — 2023-06-10

The research explores and understands the thematic dynamics of the Internet of Things (IoT) and its complementary and cross-cutting data mining (DM) platform. As part of the process, secondary data is utilized based on user-app searches generated by Google Scholar. A database is compiled, analyzed, and presented. This study also discusses the classification of data mining methods and the key data mining techniques for IoT applications. The research findings indicate that IoT continues to evolve with significant degrees of proliferation. Complementary and trailblazing data mining (DM) with more access to cloud computing platforms has accelerated the achievement of planned technological innovations. The outcome has been myriads of apps currently used in different thematic landscapes. Based on available data on user app searches, between 2016 and 2019, themes like sports, supply chain, and agriculture maintained positive trends over the four years. Moreover, the emerging Internet of Nano-Things was beneficial in many sectors. Wireless Sensor Networks (WSNs) were also emerging with more accurate and effective results in gathering information and processing data and communication technologies. However, data mining in IoT applications faces significant security, complexity, and privacy challenges. In summary, available data indicate that IoT is happening and has a significant implication for data mining. All indications suggest that it will continue to grow and increasingly affect how the world interacts with "things." A backdrop of concerns exists, from developing standard protocols to protecting individual privacy. This study recommends various potential solutions; however further studies are required to determine the practicality of the suggested solutions.

Cloud Security And Electronic Transaction Security:

Haruna Ishola Abdullahi — 2023-06-10

The insecurity of cloud leads to loss or exposure of vital information thereby threatens online transactions. These unfortunate happenings resulted in financial loss, reduced patronage of cloud services and investment diversions. Therefore, this chapter assesses cloud security and electronic transaction security. The chapter adopts qualitative research method, data were sourced secondarily through content analysis of edited books, peer-reviewed journals and credible online resources. It was descriptive in nature and thematically analyzed. The paper anchors on routine activity theory and broken windows theory. Findings revealed that cloud activities are under internal security threats of the cloud service providers and external threats of other users of cloud services. The chapter recommends proper background checks for the staff of the cloud service providers, public enlightenment on cloud security protocols. This chapter will be useful to individuals, cloud services providers, NGOs and researchers in the field of online crimes.

Design and Simulation of a GSM, Buzzer, and GPS Module-Based Accident Detection System

Muhammad Abubakar Falalu — 2023-06-10

The average number of automobiles on the roads around the world has increased as cars become more and more accessible. Our lives are now easier because to the technology and infrastructure that are developing quickly. Technology has also increased the frequency of traffic risks and road accidents, which result in significant loss of life and property due to inadequate emergency resources. Accidents wreak havoc on victims, costing them valuable time and money. It has been determined via considerable research that the majority of accidents result in fatalities as a result of poor communication with the relevant medical authorities and the ensuing dearth of prompt medical assistance. In this study, an accelerometer can be applied as a rollover or crash detector for the car both during and after a collision. The vibration sensor can also be employed in research to measure the vibration rates of any vehicle. A serious accident can be identified by keeping an eye on the information from the accelerometer and vibration sensor. The police control center, any rescue team, or the owners of the vehicle are then sent the alert message via the GSM module, together with the latitude and longitude information provided by the GPS module. As a result, as soon as they receive the emergency notification, the police can locate the accident's site and take the appropriate action. When an accident occurs in a remote place and no one is available to report it, this technique may prove to be a lifesaver. By responding quickly, the emergency services can prevent an accident from happening and save a life