Open Access

With the advancement of technology in 21st century, the marketspace of various categories like Consumer electronics, Automotive, Healthcare & medical devices, Industrial Automation, Telecommunication and Défense & Aerospace is being disrupted with the fast-paced changing technology. Companies aiming on faster real-time processing, AI integration and better energy efficiency. Embedded systems have played a major role in the growth of such industries. An Embedded system is a computer system designed for a specific function within a larger mechanical or electrical system [1]. With an aim to perform a specific task, the devices are designed using a microprocessor or microcontroller with required memory, Input/Output interface and an integrated development environment for software coding. With the advent of technology, Embedded systems gained popularity for performing specific task at a faster rate, slowly and steadily the manual labour/machines are reduced/replaced with the addition of technology. Sensors/electronic devices have also played a pivotal role as a ground for an Embedded system. With the development of devices, the researchers have also stress on finding more efficiency, memory, affordability, reliability, complexity and reusability of the devices. IoT devices rely on embedded systems for data processing and control. With the popularity of IoT devices like Smart home devices (Amazon Echo, Philips Smart bulbs), wearables devices, smart agricultural devices, connected vehicles and transport devices, the embedded system has gained grounds in the technological space and transforming every day’s life. With the success of embedded system in various categories the demand and the requirements grew from customers and complex device requirement for multitasking with efficiency became a necessity. Traditionally, C was used for most of the embedded devices due to its efficiency, portability and hardware access as C provided control to low level hardware using pointers and allowed manipulation of peripheral settings. C also provided the advantage of saving space as the code size is not large and uses embedded compilers like GCC, Keil etc. Furthermore, it is compatible with Real time operating system. With the enhancement of embedded hardware from 1960s [2], it provided room to perform complex tasks. With C, the code modularity and its reusability, code maintainability, bugs detection was not very efficient for complex embedded system, hence it allowed programming languages like C++ which supports object-oriented programming concept to gain grounds as it allows the code to use features like Encapsulation, Inheritance and Polymorphism. Additionally, it allowed better bug detection & correction along with code maintainability. The work will reflect the advantages and disadvantages of C++ in resource restricted environment and provide better code optimization across the real time application.

Web applications play a crucial role in modern business operations but remain prime targets for cyberattacks due to the sensitive data they handle. Despite continuous advancements in cybersecurity, many applications are still susceptible to common vulnerabilities such as SQL Injection (SQLi), Cross-Site Scripting (XSS), Local File Inclusion (LFI), and Remote Code Execution (RCE), many of which are listed in the OWASP Top 10. Existing security tools often provide limited coverage, focusing on specific aspects like SSL validation or static code analysis, while failing to comprehensively detect and confirm exploitation attempts in real-world scenarios. This thesis addresses these gaps by leveraging AI-driven attack automation for vulnerability detection and analysis. The system integrates automated reconnaissance, penetration testing, and AI-assisted exploitation validation to identify security flaws dynamically. Unlike conventional tools that rely on static analysis, this approach executes real attack scenarios, analyzes system responses, and determines whether an exploit truly succeeded. The research specifically evaluates the effectiveness of AI models in generating attack execution commands, constructing multi-stage attack chains, and assessing post-exploitation outcomes. The system is tested against a controlled vulnerable web environment, measuring its accuracy, efficiency, and reliability in detecting and validating real vulnerabilities. A structured methodology is followed, beginning with a comprehensive literature review of web vulnerabilities and attack automation techniques, followed by the design, development, and experimental evaluation of the AI-driven penetration testing framework. The results indicate significant challenges in AI-assisted exploitation validation, with both models exhibiting high false positive rates and misclassification of vulnerabilities. However, the study highlights key areas for improvement, including enhancing AI’s exploit validation mechanisms and reducing false positives through contextual analysis. By bridging the gap between automated attack execution and intelligent exploit validation, this research contributes to the advancement of AI-driven penetration testing methodologies. The findings underscore the potential and limitations of current AI models in cybersecurity, paving the way for future enhancements in AI-assisted vulnerability assessment and exploitation validation techniques.

Die Bachelorarbeit befasst sich mit den Möglichkeiten, KI zu Hilfe für die Produktion verschiedener Medien zu nehmen und deren Einbindung in eine Website.

Die vorliegende Arbeit befasst sich mit dem Bau eines Prototyps für einen Spielautomaten unter Verwendung eines Arduino Mega Mikrocontrollers. Zusammenfassend besteht die Zielsetzung der vorliegenden Arbeit in der Entwicklung eines innovativen Spielautomaten-Prototyps, der die Faszination für ein Thema einfängt und eine unterhaltsame, interaktive Spielerfahrung bietet, während gleichzeitig Bildungsziele verfolgt werden.