IoT-Based Smart Internet Protocol Camera for Examination Monitoring

In this research we propose a low cost and scalable system where traffic congestion can be monitored from Internet Protocol (IP) camera without the need of on-site setup. During this research an online map service introduced traffic updates in our area, yet we found that this is not very accurate. We have created a prototype that uses IP camera feeds available for free on a site as a proof of concept. Using background reduction and Haar we were able to identify vehicle motion and estimate their velocity, with which traffic flow could be estimated. In the next phase of this research we shall focus on improving estimation with use of classifiers, developing a system where this concept can be offered as a service via an Application Program Interface (API), and to gather feedback.

PurposeThis study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations.Design/methodology/approachIn this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies.FindingsThe outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context.Research limitations/implicationsThis study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation.Practical implicationsThis study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity.Originality/valueAPI recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.

In the contemporary era, digital technologies have significantly transformed the medical sector, enhancing accessibility and efficiency through advanced connectivity. Telemedicine, a pivotal advancement in medical science, facilitates remote diagnosis and treatment via telephones and other digital devices. Among various telemedicine modalities, Short Message Service (SMS) medicine emerges as a particularly effective method for delivering healthcare services over long distances using mobile technologies. This paper explores the transformative potential of SMS medicine in healthcare delivery, particularly in low-resource settings and during emergencies such as the COVID-19 pandemic, where it served as a critical tool in maintaining patient care while minimizing physical contact. Through a comprehensive literature review and analysis of case studies, the study highlights the benefits of SMS medicine, including cost-effectiveness, scalability, improved medication adherence, chronic disease management, and enhanced patient-provider communication. Additionally, the integration of SMS with web and mobile applications, such as MDLIVE and Updox, demonstrates increased flexibility and accessibility for patients, especially in rural areas. However, the implementation of SMS medicine is not without challenges, including data privacy concerns, technological limitations, disparities in mobile phone access, and the need for effective integration with existing healthcare systems. The paper also discusses future directions, emphasizing the potential integration of artificial intelligence (AI) and the Internet of Things (IoT) to further enhance personalized medicine and real-time health monitoring. By addressing these challenges and leveraging SMS’s strengths, SMS medicine can bridge critical gaps in healthcare access and delivery, offering sustainable and inclusive solutions for diverse populations. This research underscores the significance of SMS medicine in revolutionizing healthcare systems, particularly in resource-limited environments.

The short message service (SMS) is a service for exchanging texts via mobile networks that has been developed not only as a means of text communication between subscribers but also as a means to remotely manage Internet of Things (IoT) devices. However, the originating number of an SMS can be spoofed. If IoT devices authenticate administrators based on the originating number of an SMS, the authentication is bypassed via SMS origin spoofing. Consequently, IoT devices are at risk of accepting commands from attackers and performing unauthorized actions. Accordingly, in this study, the specifications of major cellular IoT gateways were evaluated by focusing on remote management via SMS, and the authentication bypass hypothesis was verified. The results showed that 25 of the 32 targeted products supported SMS-based remote management, and 20 implemented authentication based on the originating number of the SMS. Furthermore, by spoofing the originating number of the SMS, one product was demonstrated to be remotely exploitable through authentication bypassing. Thus, this study revealed the threats posed by SMS origin spoofing to IoT devices and proved that SMS origin spoofing not only threatens text communication between people but also puts machine communication at risk.

In recent years, the Internet of Things (IoT) has attracted attention according to the development of sensing technology and wireless communication technology. IoT devices are interconnected to realize a specific service with sensors and actuation functions over several communication methods. Internet Protocol (IP) exists as a basic communication technology for realizing an IoT system. Since IPv4 is a mainstream protocol on the Internet, the lack of compatibility between IPv4 and IPv6 should be great issues to realize IoT services. Additionally, recent networks employ the Network Address Port Translation (NAPT) technology to protect a network and to reduce the number of required IPv4 global addresses. The introduction of NAPT causes an accessibility issue due to the blocking of incoming packets. As a new issue, the mobility of IoT devices also becomes a concern about seamless communication because a change of IP address causes a disconnection of transport layer sessions. As a technique for solving these problems, the authors have developed CYber PHysical Overlay Network over Internet Communication (CYPHONIC) that supports accessibility and seamless mobility over the Internet. Since high-performance IoT devices typically implement the full IP stack, both IPv4 and IPv6 can be supported. Therefore, CYPHONIC can provide inter-connectivity among IoT devices. On the contrary, resource-constrained IoT devices with a low power operation support only the limited IP stack such as IPv6 over Low power Wireless Personal Area (6LowPAN). This paper proposes a new interconnectivity mechanism between IP networks and 6LowPAN by extending CYPHONIC. Therefore, the proposed mechanism can provide interconnectivity among 6LowPAN devices and IP devices to collaborate on a service. The proposed system introduces a gateway device for connecting between IP networks and 6LowPAN. Additionally, it also extends the signaling process of CYPHONIC to support 6LowPAN based IoT devices. Since the object of this paper is confirming the feasibility of the proposed mechanism, we have designed the implementation with Thread protocol that support 6LowPAN.

Nowadays internet video surveillance cameras are widely use in security monitoring. The quantities of installations of these cameras also become more and more. This paper reports that the internet video surveillance cameras can be applied as a remote sensor for monitoring the concentrations of particulate matter less than 10 micron (PM10), so that real time air quality can be monitored at multi location simultaneously. An algorithm was developed based on the regression analysis of relationship between the measured reflectance components from a surface material and the atmosphere. This algorithm converts multispectral image pixel values acquired from these cameras into quantitative values of the concentrations of PM10. These computed PM10 values were compared to other standard values measured by a DustTrak^TM meter. The correlation results showed that the newly develop algorithm produced a high degree of accuracy as indicated by high correlation coefficient (R²) and low root-mean-square-error (RMS) values. The preliminary results showed that the accuracy produced by this internet video surveillance camera is slightly better than that from the internet protocol (IP) camera. Basically the spatial resolution of images acquired by the IP camera was poorer compared to the internet video surveillance camera. This is because the images acquired by IP camera had been compressed and there was no compression for the images from the internet video surveillance camera.

Image Processing and Computer Vision solutions have become commodities for software developers, thanks to the growing availability of Application Programming Interfaces (APIs) that encapsulate rich functionality, powered by advanced algorithms. Tech giants like Apple, Google, IBM, and Microsoft have made APIs and micro-services available in the cloud for the agile integration of machine learning and intelligent features onto everyday applications. As privacy and cyber welfare become prime concerns, special efforts have been devoted in the field of face processing and recognition. In this context, this paper provides a friendly, intuitive and fun to use mobile app that leverages the state-of-the-art APIs for face, age, gender and emotion recognition. The Face- It-Up app was implemented for the iOS platform and uses the Microsoft Cognitive Services APIs as a tool for human vision and face processing research. Experimental work on image compression, upside-down orientation, the Thatcher effect, negative inversion, high frequency, facial artifacts, caricatures and image degradation were performed to test the application. For this purpose, we used the Radboud and 10k US Adult Faces Databases. The app benefits from accessing high-resolution imagery and touch input from the smart-devices, allowing for a wide range of new experiments from the user perspective. Furthermore, our approach serves as a potential framework for new initiatives in image-based biometrics, the Internet of Things, and citizen science.

Cloud Computing is ever increasing in popularity in the computer science field. Because of this increased usage, the importance of data integrity and strong security has become paramount. This paper expounds upon security measures and methodologies for strengthening the cloud, including two new security algorithms. According to the Cloud Security Alliance paper, "The Notorious Nine: Cloud Computing Top Threats 2013", the nine biggest threats to cloud computing are data breaches, data loss, account or service traffic hijacking, insecure interfaces and Application Programming Interfaces (APIs), denial of service, malicious insiders, abuse of cloud services, insufficient due diligence, and finally shared technology vulnerabilities [1]. All nine of these issues would be lessened by properly implementing stricter security on cloud systems. A combination of security measures in concurrence is the basis of the security improvements asserted forthwith. The security algorithms introduced in this paper, the MIST and Malachi are two new ways to protect users' data through account security.

Current advances in embedded hardware for mobile devices, jointly with new type of batteries that let smart phones have more power during longer periods of time, allow them to offer new services to customers. Internet Protocol Television (IPTV) is the Internet Protocol (IP) service that is experiencing highest demand. Many mobile telephone companies are adding this service to their supply. In this chapter, the authors show all steps to transmit the IPTV service from the provider to the smart phone. First, they introduce the current hardware and operating systems for smart phones. Then, they describe the main parts of the IPTV architecture and the main protocols used for IPTV transmission in order to show how it works. Next, the authors show where intelligent systems can be deployed in the IPTV network in order to provide better QoE (Quality of Experience) on the end-user side. Then, they discuss the limitations and requirements for IPTV reception on smart phones. Finally, the authors explain the IPTV implementation in smart phones and describe an IPTV player on Android.

Delivering TV services via internet protocols over high-speed connections is commonly referred to as IPTV (Internet Protocol TeleVision). A particularly interesting aspect of IPTV is the augmentation of the subscriber’s TV experience with interactive applications (apps). Due to the service-oriented infrastructure of many IPTV platforms it is fairly easy to integrate 3rd party services and expose them in form of IPTV apps. However, due to the very competitive market in which IPTV providers operate, they are forced to minimize their costs and thus avoid costly customer complaints. This in turn introduces the need for highly dependable IPTV apps/web services with minimal downtimes. This paper focuses on the development of dependable web services for IPTV. Using Brewer’s CAP theorem the paper investigates the role of state-management within web services and presents the idea of the Enterprise Resource Bus (ERB) and an evaluation of its Erlang implementation.

On the development of the various IP (Internet protocol)-based services, it is expected that Internet telephony service will gradually replace the traditional PSTN (public switched telephone network)-based telephony service. But there are many issues to be resolved in order to spread widely the Internet telephony services. One of them is to support SMS (short message service) through the heterogeneous VoIP (voice over IP) environment. Even though the SMS has been used as one of the most famous services in the cellular network, it should be also provided in the ubiquitous environment that supports any services to anyone at anytime, anywhere with any devices. In this paper, we suggest a new mechanism for supporting the SMS on the heterogeneous VoIP environment; specifically H.323 and SIP (session initiation protocol) coexist in the Internet. This mechanism is expected to help in providing better quality of services to the ISPs and Internet users on the emerging VoIP systems and services markets.

The application programming interface (API) as a means of communication to establish a connection with the cloud, which allows storing the vast amounts of heterogeneous data. Data has been steadily growing over the past several years. Software developers can use different data from cloud as convenient ecosystems for developing, deploying, testing and maintaining their software. API provides the archival solution and storing the data in the cloud. This platform also plays an essential role in managing them effectively with improved transfer rates. API is becoming increasingly dynamic and complex day by day. One of the significant challenges faced by us is to develop appropriate individual API and extensible mechanisms for managing and storing the data in the cloud. The objective of this paper is to utilize the storage efficiently based on API capability and analysis of (extreme amounts of) raw heterogeneous data.

Provisioning of applications and value-added services for mobile (remote) monitoring and access to measurements data is supported by advanced communication models such as Internet of Things (IoT). IoT provides ubiquitous connectivity anytime and with anything. IoT applications are able to communicate with the environment, to receive information about its status, to exchange and use the information. Identification of generic functions for monitoring management, data acquisition, and access to information provides capabilities to define abstraction of transport technology and control protocols. This chapter presents an approach to design Web Services Application Programming Interfaces (API) for mobile monitoring and database access. Aspects of the Web Services implementation are discussed. A traffic model of Web Services application server is described formally. The Web Services application server handles traffic of different priorities generated by third party applications and by processes at the database server's side. The traffic model takes into account the distributed structure of the Web Services application server and applies mechanisms for adaptive admission control and load balancing to prevent overload. The utilization of Web Services application server is evaluated through simulation.

Android malware has evolved in various forms such as adware that continuously exposes advertisements, banking malware designed to access users’ online banking accounts, and Short Message Service (SMS) malware that uses a Command & Control (C&C) server to send malicious SMS, intercept SMS, and steal data. By using many malicious strategies, the number of malware is steadily increasing. Increasing Android malware threats numerous users, and thus, it is necessary to detect malware quickly and accurately. Each malware has distinguishable characteristics based on its actions. Therefore, security researchers have tried to categorize malware based on their behaviors by conducting the familial analysis which can help analysists to reduce the time and cost for analyzing malware. However, those studies algorithms typically used imbalanced, well-labeled open-source dataset, and thus, it is very difficult to classify some malware families which only have a few number of malware. To overcome this challenge, previous data augmentation studies augmented data by visualizing malicious codes and used them for malware analysis. However, visualization of malware can result in misclassifications because the behavior information of the malware could be compromised. In this study, we propose an android malware familial analysis system based on a data augmentation method that preserves malware behaviors to create an effective multi-class classifier for malware family analysis. To this end, we analyze malware and use Application Programming Interface (APIs) and permissions that can reflect the behavior of malware as features. By using these features, we augment malware dataset to enable effective malware detection while preserving original malicious behaviors. Our evaluation results demonstrate that, when a model is created by using only the augmented data, a macro-F1 score of 0.65 and accuracy of 0.63%. On the other hand, when the augmented data and original malware are used together, the evaluation results show that a macro-F1 score of 0.91 and an accuracy of 0.99%.

Defining standard application programming interfaces (APIs) plays an important role in Internet of Things (IoT) applications to achieve interpretability. Among different issues of designing APIs for IoT applications, this study focuses on the security issue of designing an API for people to access data about machines, sensors, and other objects collected in servers. To address the issue, this study shares the experiences of designing APIs for Taiwan uniform e-invoices. To prevent tax evasion, Taiwan government holds uniform invoice lottery every two months. Because invoice owners may win NT $10,000,000, the security of APIs to access e-invoices is critical. This study illustrates the security considerations in designing major APIs of Taiwan uniform e-invoices. In addition to common security issues, such as communication security, authentication, and non-repudiation, the APIs consider special security issues in different scenarios. The API for point of sales (POS) applications and ERP systems addresses the security consideration to transfer bulk data among machines; the e-invoice donation API proposes a scheme to restrict that each authorized person can only invoke the API through a specific device; the API for mobile applications considers the issue that misused mobile applications may transfer personal sensitive data and credentials to others secretly; the API for invoice exchanging allows people to obtain e-invoices immediately after transactions with their smart phones and to verify the integrity of the invoices. While this study gives examples of designing secure API for IoT applications from different perspectives, the paper can hopefully contribute to the security of IoT applications.