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Formal Definition of Interpretability and Explainability in XAI

Formal Definition of Interpretability and Explainability in ...

引用

Intelligent systems Conference

作者： Dib, Lynda Laval Univ Quebec City PQ Canada

ISBN: (纸本)9783031664304;9783031664311

The interpretability and explicability of machine learning models lack a singular, formal definition, with understanding varying based on context and specific needs. This article conducts an in-depth review of current literature, aiming to provide a comprehensive synthesis of diverse perspectives and approaches within this dynamic field. A major contribution of this article is the proposal of a unified formal definition for interpretability and explicability. This proposal results from a careful synthesis of perspectives from the literature, integrating essential aspects such as human comprehensibility, justifiability, and clarity in presenting explanations. The fundamental goal is to consolidate knowledge on interpretability and explicability, offering a formal definition as a basis for a more coherent and unified understanding in machine learning. This unified definition is crucial for guiding future research efforts and advancing the field towards more transparent and understandable machine learning models.

关键词： Interpretability Explicability Formal definition Machine learning

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Unlocking the Truth Behind Packaging Claims: An Approach from Consumer Neuroscience 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Palakkath, Vishnu Venugopal Hussain, Tazar Parra-Tijaro, Jeison Future Proof Insights Dublin Ireland Ulster Univ Belfast Antrim North Ireland

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

This research investigates the application of methods and techniques coming from cognitive and behavioral neuroscience to analyze and explain consumer behavior in the context of packaging claims with the aim of optimizing product design and presentation to align with consumer preferences. The study focuses on analysing how packaging claims influence consumer behavior, particularly in decision-making. It explores the impact of packaging on brain activity, its effect on purchase intent, and how well purchase intent can be predicted based on these claims. To address these questions, data was collected in a controlled lab setting using EEG, targeting stimuli that highlight packaging claims on products. In essence, this study examines how different types of packaging claims influences shopper buying decisions. The mutual information analysis and ANOVA suggests that sustainability claims, when used alone, often fails to significantly influence consumer decisions and has to be accompanied by other claims to influence buying decisions. Machine learning algorithms were employed to predict purchase intent. This study concludes that certain combinations of packaging claims have a significant impact on purchase intent, with a significant impact of Gamma waves in predicting purchase intent.

关键词： Packaging Claims Consumer Neuroscience Purchase Intent (PI) Mutual Information (MI) Machine Learning (ML)

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Adversary Simulation of Structured Query Language (SQL) Injection Attack Using Genetic Algorithm forWeb Application Firewalls (WAF) Bypass

Adversary Simulation of Structured Query Language (SQL) Inje...

引用

Intelligent systems Conference (IntelliSys)

作者： Bahruddin, Habib Suryani, Vera Wardana, Aulia Arif Telkom Univ Jl Telekomunikasi 1 Bandung Indonesia Wroclaw Univ Sci & Technol Wybrze Stanislawa Wyspianskiego 27 PL-50370 Wroclaw Poland

ISBN: (纸本)9783031477232;9783031477249

This research proposed adversary simulation for Structured QueryLanguage (SQL) injection attacks using the genetic algorithm to bypass Web Application Firewalls (WAF). SQL Injection is a cyberattack that exploits the weakness of web applications to access data in the database illegally. WAF is one of the security systems used to protect web applications from SQL injection. WAF is a security system that is easy to integrate with the web server, has a minimal cost, and is easy to configure. SQL injection commonly uses a fuzzing method to attack web applications, but this method is ineffective in bypassing WAF. However, attackers develop SQL injection to exploit vulnerabilities in a web application. This attack is also effective in bypassing WAF. Therefore, this research proposed adversary simulation to take a lesson learned from SQL injection attacks using a genetic algorithm. The lesson learned can be used as a detection strategy against SQL injection attacks using genetic algorithms. This research simulates the attack on some familiar environments in web application testing frameworks and WAF products. Based on the simulation result, the genetic algorithm has a high number of total payload successes in processing SQL injection compared to traditional fuzzing and Cartesian product method.

关键词： SQL Injection Fuzzing Penetration Testing Genetic Algorithm WAF Bypass

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Proposed Ransomware Detection Model Based on Machine Learning 1

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13th Computer Science Online Conference

作者： Gonza, Karen Torres, Juan Curioso, Mars Ticona, Wilfredo Univ Tecnolog Peru Lima Peru Univ ESAN Lima Peru

ISBN: (数字)9783031703003

ISBN: (纸本)9783031702990;9783031703003

Ransomware is one of the main malwares that exists today as established by EUROPOL and Malwarebytes which affects both the international and national context. In this way, the main problem is the detection of ransomware in the different users. Due to the lack of a responsive security control against the mentioned malware that adapts to the different variants that may arise, since currently virus signature is used which is not effective because of its dependence on manual updates. Thus, the overall objective is to develop the proposal of a Machine Learning logic model to improve the detection of Ransomware. For this purpose, the proposed methodology was used, due to its adaptability in predicative research. The results obtained from the model selection and training process showed that the Random Forest algorithm had the highest accuracy, and when trained by means of a Dataset for ransomware detection, 0.99 in Accuracy, 0.99 in Balanced Accuracy, 0.99 in ROC AUC and 0.99 F1 Score were obtained. Thus, it is proved that the Random Forest model is the ideal model for ransomware detection due to its effectiveness and accuracy.

关键词： Ransomware Machine Learning Detection model

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Characteristics for HVDC GIS/GIL Spacer Under DC Superimposed Lightning Impulse Voltage Conditions 1

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9th International Congress on Information and Communication Technology (ICICT)

作者： Li, Haoluan Zebouchi, Nabila Haddad, Manu Reid, Alistair Cardiff Univ Adv High Voltage Engn AHIVE Res Ctr Cardiff Wales

ISBN: (数字)9789819735594

ISBN: (纸本)9789819735587;9789819735594

CF3I has excellent insulation performance, arc extinguishing performance, and low GWP characteristics. It is considered as a potential substitute for SF6 in GIS, GIL, circuit breakers, and other high-voltage equipment. In this paper, based on the conservation of charge, heat transfer and partial differential equations (PDE) of ion transport equations, a finite element numerical analysis platform was used to study the evolution of electric field intensity and ion concentration on the surface of the spacer of CF3I/CO2 gas mixture under DC superimposed lightning impulse voltage conditions. The change of the electric field distribution, ion concentration, charge density, and other parameters around the spacer were discussed after the lightning impulse voltage was superimposed, which provided the theoretical basis to the safety, standardization, and design of the future gas insulated systems. The results show that the electric field distribution under DC superimposed positive polarity lightning impulse voltage was the highest, and the positive ions showed an increasing trend while the negative ions showed the opposite trend.

关键词： CF3I DC Lightning impulse

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Implementing "DevSecOps as a Culture"-The Concept, Benefits, Execution Strategies, and Challenges 1

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Lumpatki, Sairaj S. Patwardhan, Swapnaja Kulkarni, Mukul MES Inst Management & Career Courses Pune Maharashtra India

ISBN: (数字)9789819713264

ISBN: (纸本)9789819713257;9789819713264

This paper explores the transformative approach of integrating security practices into the DevOps methodology and fostering a collaborative culture in software development organizations. Authors provide an overview of the concept of DevSecOps as a culture, highlight its benefits, discuss execution strategies, and address the challenges that could be faced during implementation. DevSecOps as a culture emphasizes collaboration, communication, and shared responsibility among development, security, and operations teams throughout the software development lifecycle. By integrating security practices early on, organizations can enhance security, improve collaboration, and accelerate time to market. The benefits of implementing DevSecOps as a culture include enhanced security, faster time to market, improved collaboration and communication, compliance readiness, and cost efficiency. Executing DevSecOps as a culture requires a cultural shift, breaking down silos, and fostering collaboration among teams. Organizations must invest in up skilling employees, integrating security practices into development and operations processes, and leveraging automation for efficient security testing and monitoring. However, challenges such as resistance to change, skill set and knowledge gaps, tool integration, and dealing with legacy systems need to be addressed for successful implementation. In this paper, authors have also discussed about the probable solutions for DevSecOps implementation challenges which may help in successful implementation of "DevSecOps as a Culture".

关键词： DevSecOps DevOps Concept Strategies Benefits Implementation CI/CD Culture

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Deep Learning-Based Attack Prediction for Returns in Supply Chain Management systems 5th

Deep Learning-Based Attack Prediction for Returns in Supply ...

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5th International Conference on Communication and Intelligent systems (ICCIS)

作者： Sai, Koppera Kushal Karthik, Chodapaneedi Surya Chandralekha, M. Salem, Kashif Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Amrita Sch Comp Chennai Tamil Nadu India King Saud Univ Riyadh Saudi Arabia

ISBN: (纸本)9789819720811;9789819720828

A Cyber-Physical System (CPS) is implemented in the 4th manufacturing revolution's transition with the goal of safeguarding the supply chain. It establishes an adaptive CPS which employs the Internet of Things (IoT) to monitor the activities of goods manufactured for delivery to the consumers through the integration of the information on production, integrating connectivity with Internet technology. With the aim to analyse distributed denial-of-service attacks on Industry 4.0-based Cyber-Physical systems, the current investigation employs a Machine Learning (ML) methodology for identifying discrepancies in the network along with developing model driven by data. The most significant functionality is determined by employing the PCA-BSO approaches considering the characteristics with the most significant eigenvalues that were unlikely to improve the precision of the classification. Training in simulations is employed to evaluate an algorithm's efficiency of supervised Machine Learning (ML) computations.

关键词： Cyber-Physical System Intrusion Detection System (IDS) PCA-BSO Distributed Denial of Service (DDoS)

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Ocean Relief-Based Heuristic for Robotic Mapping 6th

Ocean Relief-Based Heuristic for Robotic Mapping

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6th Iberian Robotics Conference (Robot)

作者： Daros, Filipe Testa Teixeira, Marco Antonio Simoes Rohrich, Ronnier Frates Lima, Jose de Oliveira, Andre Schneider Univ Tecnol Fed Parana UTFPR Grad Sch Elect Engn & Comp Sci CPGEI Curitiba Parana Brazil Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Campus Santa Apolonia Braganca Portugal INESC Technol & Sci Porto Portugal

ISBN: (纸本)9783031591662;9783031591679

Order picking has driven an increase in the number of logistics researchers. Robotics can help reduce the operational cost of such a process, eliminating the need for a human operator to perform trivial and dangerous tasks such as moving around the warehouse. However, for a mobile robot to perform such tasks, certain problems, such as defining the best path, must be solved. Among the most prominent techniques applied in the calculation of the trajectories of these robotic agents are potential fields and the A* algorithm. However, these techniques have limitations. This study aims to demonstrate a new approach based on the behavior of oceanic relief to map an environment that simulates a logistics warehouse, considering distance, safety, and efficiency in trajectory planning. In this manner, we seek to solve some of the limitations of traditional algorithms. We propose a new mapping technique for mobile robots, followed by a new trajectory planning approach.

关键词： Mobile robots Indoor logistics Environment mapping Path planning

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HR Team Performance in the Realm of AI-HRM A Case Study of Moroccan Small and Medium Companies 4th

HR Team Performance in the Realm of AI-HRM A Case Study of M...

引用

4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Ousghir, Sara Benhmama, Asmaa Sabiri, Brahim Univ Sidi Mohamed Ben Abdellah Fes Morocco Univ Hassan 2 Casablanca Morocco

ISBN: (纸本)9783031686498;9783031686504

Improving the performance of team human resources becomes an important factor which is the target of almost every company that uses the application in Human Resource management. The digitalization followed by artificial intelligence added to these organizational structures has brought about changes in their management methods notably in human resources management. This work investigates the effects of AI on HR team performance in Small and Medium Moroccan Enterprises. We found earth-shattering impacts that occur due to the AI which could be witnessed in 84 Moroccan companies we surveyed. The research findings underscore the widespread impact that AI is having across the work of HR teams, from routine administrative tasks to forward-looking responsibilities. Touching on some of the performance indicators influenced by Artificial Intelligence;lower management costs, faster task processing times, and reduced information leakage risks. In addition, Artificial intelligence not only aids in maintaining decision-making accuracy but also strengthens control practices. We introduce a model to help visualize these relationships and how team performance is an integral part of this optimization through Artificial intelligence integration.

关键词： Artificial Intelligence Human Resource Management Human Resources digitalization

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FinTech for E-Governance and MSME: Leveraging FinTech for Inclusive Digital Payments in Governance of MSME 8th

FinTech for E-Governance and MSME: Leveraging FinTech for In...

引用

8th Smart Trends in Computing and Communications (SmartCom)

作者： Bhatnagar, Mukul Pathak, Nitin Kaur, Ravneet Chandigarh Univ Mohali 140413 India

ISBN: (纸本)9789819713127;9789819713134

The objective of this study is to analyse the effects of integrating financial technology (FinTech) into electronic governance (e-governance) on digital literacy and financial inclusion. Additionally, it intends to explore the influence of access to banking services on these relationships, specifically focusing on Micro, Small, and Medium Enterprises (MSMEs). The study aims to utilise SMART PLS 4 and a Likert scale questionnaire to explore potential associations and moderating influences of age on these factors. The importance of this study rests in its ability to provide valuable insights to policymakers, financial institutions, and MSME stakeholders regarding the consequences of adopting FinTech for promoting digital literacy, improving financial inclusion, and stimulating inclusive economic growth. The findings have important significance for managers, as they can provide guidance for the development of plans to effectively utilise FinTech's potential in order to benefit MSMEs and support broader governance initiatives.

关键词： E-governance FinTech MSME Digital payments Digital literacy

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