Conference Agenda

Phishing is a growing threat that surpasses traditional detection methods, requiring advanced approaches. The aim of this review was to identify the most promising emerging techniques for phishing detection and assess their effectiveness in overcoming the limitations of traditional methods. A systematic search was conducted using the PICO strategy in academic databases such as Scopus, Redalyc, and SciELO. Out of a total of 293 identified articles, 30 studies published between 2020 and 2024 were selected after applying inclusion and exclusion criteria. Hybrid models in parallel execution (Random Forest, Naive Bayes, CNN, and LSTM) achieved accuracy rates above 99.97%, standing out as the most effective techniques in critical sectors such as finance and corporate environments. These technologies overcome traditional limitations by combining advanced Machine Learning and Deep Learning capabilities. Additionally, vulnerable groups were identified as users of banking and e-commerce services, due to their constant exposure to online transactions; users in governmental and financial sectors, who are key targets because of the sensitive information they handle; and young users (18-25 years old), particularly those with high interaction on social media and limited cybersecurity knowledge. Hybrid models in parallel execution represent a significant advancement in phishing detection, but their effectiveness depends on factors such as the computational load they require and their limited accessibility for everyone. Furthermore, these techniques will be fully effective if complemented with cybersecurity education that fosters user preparedness.

The instructions give the basic guidelines for preparing papers for the LEIRD conference proceedings adapted from the IEEE 2-Colum The main objective of the research was to determine the relationship between customer orientation and value generation in a vehicle monitoring company in Trujillo 2024. It was an applied research, with a quantitative approach and a correlational, non-experimental design. The population was 220 clients of the company, the sample consisted of 140 clients, who answered a questionnaire, 8 questions for client orientation and 8 for value generation. The results indicated that there is a strong positive correlation (0.790), the significance level was less than p=0.05 between customer orientation and value generation, suggesting that greater customer orientation significantly improves the perception of value. In addition, it was found that 33.6% of the respondents consider customer orientation as “good” because they have personalized attention, while 22.9% perceive it as “bad”, implying areas for improvement. In conclusion, the study confirms that an effective customer orientation contributes to increase the generation of value in the company.

Anemia is a public health condition that affects millions of people worldwide, especially children and women of reproductive age. Despite advances in health, it remains a persistent problem, mainly due to causes such as iron deficiency. This study focuses on evaluating the impact of a specialized and personalized web system for the detection and prevention of anemia, implemented in a medical post in Virú in 2024. This system was designed to improve the diagnosis, accuracy and personalization of preventive interventions, offering recommendations tailored to the specific needs of each patient.

The main objective of the research is to determine the effectiveness of the web system compared to traditional methods of anemia diagnosis and prevention, analyzing its diagnostic accuracy, its ability to personalize interventions and its impact on reducing the prevalence of anemia. The research was structured in several stages: initially, the prevalence of anemia was analyzed before the implementation of the web system; subsequently, the characteristics and functionalities of the system were studied. A quantitative methodology was used based on the collection of clinical data before and after implementation, complemented by the analysis of the acceptance and satisfaction of patients and medical staff. The results obtained allow us to evaluate

This research work analyzes how Information and Communication Technologies are related to the management of hospital administrative processes at the Dos de Mayo National Hospital, in Lima, Peru. In the context of hospital modernization, the use of ICT is essential to optimize administrative areas that require precision and agility. The research adopts a quantitative approach with a correlational design, applying validated and reliable questionnaires to a sample of 100 hospital administrative workers.
The results reveal a significant positive relationship between the use of ICT (particularly with regard to technological infrastructure, information systems and staff training) and the improvement of the management of administrative processes. Findings suggest that effective integration of ICT into these processes improves operational efficiency and the overall experience of both patients and staff. It is recommended to continue investing in infrastructure and training to make the most of the potential of ICT in the hospital environment.

Social networks in the privacy of society in the digital sphere is important today, being a complex issue that requires a multidisciplinary approach, implementation of legal and technological measures. The objective was to examine social networks, which have changed the way we share personal information and interact online, identifying the violation of the privacy of people who access them. The PRISMA methodology was essential to rigorously collect and evaluate the relevant information, allowing an accurate and understandable synthesis of the results. There is a need to ensure accuracy and objectivity in data collection and analysis using Scopus and Scielo databases. Data protection results in India are lagging behind other countries, it is important to establish a solid legal framework in this area. Mention is made of the concept of "right to be forgotten" implemented in the European Union as a commendable measure that gives individuals a second chance and protects their reputation. Finally, in Latin America, countries such as Chile, Peru, Colombia, Brazil and Uruguay have established laws that ensure the protection of consumers' personal data, emphasizing the importance of consent for data processing. The social landscape of social networks is based on shared emotions and generates virtual communities through the distribution of memes and humorous content. The need to balance freedom of expression with the protection of brands is debated.

In the rapidly evolving domain of accounting auditing, the integration of Artificial Intelligence (AI) and Python has emerged as a transformative element in North America between 2021 and 2023. This study examines the impact of these technologies on internal control assessment, advanced data analysis, and fraud and anomaly detection. These tools have enhanced audit processes by automating repetitive tasks, enhancing the accuracy of analysis of large volumes of data, and facilitating early identification of risks. The study underscores the significance of advanced algorithms that enable a proactive approach to risk management, while concurrently highlighting the ethical and security challenges posed by the utilization of these technologies. It emphasizes the necessity for governance policies and continuous training to ensure the effective and ethical use of AI and Python in auditing processes. The study's findings underscore the importance of human oversight and ethical regulation to ensure the effectiveness and transparency of these technologies.

The primary objective of this study was to analyze gender differences in digital competencies among secondary school students in rural schools of Piura. The methodology involved administering a validated questionnaire to 100 students, of which 70 responses were considered after a data screening process. Digital competencies were assessed in five dimensions: operational skills, formality, information retrieval, online communication, and content creation. The results revealed a statistically significant difference only in operational skills, where male students scored higher (T = –2.057, p = 0.044, d = –0.4991), while no significant gender differences were found in the other dimensions. These findings suggest that the digital gender gap in the studied context is minimal and mainly concentrated in basic technological handling skills. The study concludes that digital competencies have developed equitably between genders in this environment, though opportunities for improvement remain, particularly in enhancing operational skills training for female students. As a recommendation, the study proposes implementing targeted digital training programs to balance the development of operational competencies and promote equitable access to technology from an early age.