Conference Agenda

Abstract– This paper presents a systematic literature review focused on threat detection strategies in Internet of Things (IoT) networks using artificial intelligence techniques, with a particular emphasis on their applicability to the Peruvian context. The PRISMA protocol was applied for the selection and analysis of studies published between 2020 and 2025, ranging from smart irrigation systems based on decision trees and random forests to advanced deep learning models (autoencoders, CNNs, LSTM) and explainable artificial intelligence (XAI) approaches for botnet detection. The review identifies the methods that achieve the highest detection rates (>95%), evaluates their scalability on resource-constrained devices, and examines the challenges arising from protocol heterogeneity and the lack of security standards. In addition, emerging solutions such as blockchain, quantum physically immutable functions (PUFs), and federated learning are described for privacy enhancement and resilience against physical and logical attacks. The findings reveal critical gaps in regional adoption, such as the lack of regulatory frameworks and limited edge computing infrastructure, which hinder the implementation of AI-based detection systems. Based on this analysis, a set of recommendations are proposed to guide the development and integration of robust solutions tailored to Peru's technological, economic, and regulatory characteristics, fostering a more resilient and reliable IoT cybersecurity architecture.

Artificial intelligence (AI) is increasingly becoming an integral component in university students' educational processes. In this context, it is crucial to investigate the challenges, attitudes, and opportunities arising from its pedagogical, technological, and ethical integration, as perceived by educational stakeholders. Therefore, this research aims to analyze university faculty's perceptions regarding the incorporation of AI into their teaching strategies. To achieve this, a qualitative approach with a phenomenological design was employed. Semi-structured interviews were conducted with ten experienced professors, exploring their levels of familiarity, adoption challenges, attitudes, and professional development needs. Participants identified barriers such as a lack of adequate infrastructure, the financial costs for universities (as not all applications are free), and the need for specialized training. Nevertheless, they acknowledged the potential of these technological innovations to transform teaching practices and strengthen students' critical skills.

This study addresses the conceptual design and projective validation of an intelligent assistance and monitoring system aimed at vulnerable people in Trujillo, Peru. This project is aimed at improving safety and emergency response for older adults, at-risk women, and people with disabilities. We worked with a representative sample of 367 people, selected from a base population of 18,600 older adults, applying surveys and functional simulations, and with the support of specialists in health and citizen safety. The results demonstrate a high acceptance and viability of the technological solution, as well as its potential to strengthen the autonomy and protection of users in urban environments. The study lays the groundwork for future real implementations and the development of accessible assistive technologies in the Peruvian context.

In a highly competitive business environment, many small and medium-sized enterprises (SMEs) face challenges in building a strong and distinctive corporate identity. This article presents the development of a personalized virtual gallery digital platform that integrates art, branding, and innovation as a proposal to strengthen the visual and symbolic identity of SMEs. Based on the Lean Startup approach, a digital business model is designed that allows for validation through iterative cycles (build-measure-learn), offering a creative solution tailored to the real needs of the target audience. The platform combines personalized artistic works with strategic consulting in corporate identity, thus facilitating the creation of a coherent and meaningful brand image. Aimed especially at entrepreneurs in Metropolitan Lima, this proposal seeks not only to improve the visual presence of their brands but also to promote an organizational culture more aligned with their values. Overall, this solution proposes a new way to integrate art as a strategic tool in business, offering a scalable and adaptable alternative that contributes to the competitiveness and differentiation of SMEs in today’s market

Digital electoral security has become fundamental to the development of reliable, integrated and available technological systems, driven by the growing demand for transparency and protection against threats. The purpose of this study is to analyze the impact of cryptographic protocols on the security of electoral processes, evaluating their effectiveness against traditional methods. For this purpose, a systematic review of the literature was carried out, considering 50 articles extracted from the Scopus database. The analysis focused on cryptographic techniques applied to blockchain-based environments, such as homomorphic encryption, zero-knowledge proofs and smart contracts, evaluating their contribution to design more secure, auditable and reliable voting systems. The results show that these protocols contribute to prevent recurring vulnerabilities, such as vote tampering, electoral fraud, impersonation and lack of validation, in addition to strengthening auditability and operational reliability Finally, the study concludes that the adoption and assessment of cryptographic protocols are essential to reduce risks in electronic voting, and promote more secure, transparent and efficient electoral processes.

This research evaluates the use of Transformer-based models, such as BERT and RoBERTa, to identify voting intention on social networks during the period leading up to presidential elections in Ecuador. Relevant posts from the platform “X” were collected and processed using natural language processing techniques. Results demonstrate the effectiveness of these models in detecting political behaviour patterns, providing a useful tool for electoral analysis and strategic campaign planning.

Artisanal fishing remains a vital source of livelihood for many coastal communities in Peru. However, the sector operates with limited tools and technologies for planning and decision support, making it difficult to achieve efficiency and profitability. In response to these challenges, this article presents PescApp, an Android-based mobile application designed to support decision-making in the operational management of artisanal fisheries in the port of Matarani, Arequipa. The tool was co-designed with local fishers and covers key stages of the fishing journey: cost estimation before departure, real-time trip monitoring using GPS, and a post-trip assessment of profitability. One of its features is a decision-support module that provides operational recommendations based on business rules derived from experts’ knowledge of artisanal fishing practices. We tested the app with 14 artisanal fishers, using two standardized evaluation instruments (a questionnaire based on ISO/IEC 25010 and a User Experience Questionnaire), focusing on usability and overall experience. Feedback was highly positive—participants appreciated the simplicity of the interface and the way it helped them better understand the financial outcomes of each trip. The results revealed high levels of user acceptance and satisfaction, particularly among younger fishers seeking to improve their planning skills. The successful adoption of PescApp demonstrates how purpose-driven technological innovation can help address long-standing inefficiencies in artisanal fisheries.