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AI algorithms are revolutionizing how chemical problems are approached.
• Machine Learning Models: Predict reaction outcomes, optimize synthesis routes, and analyze large datasets.
• Case Study: AI-assisted retrosynthesis tools, such as IBM RXN for Chemistry, improve the efficiency of drug synthesis.
Chemistry solving is a dynamic and multifaceted field that integrates theoretical knowledge, experimental techniques, and computational tools. From stoichiometry and thermodynamics to AI-driven predictions and quantum computing, the methodologies discussed in this paper demonstrate the breadth and depth of chemical problem-solving. As technology advances, the ability to tackle increasingly complex problems will open new frontiers in science and industry, addressing some of the most pressing global challenges. Список использованной литературы:
1. Atkins, P., & de Paula, J. (2017). Physical Chemistry. Oxford University Press.
2. Leach, A. R. (2001). Molecular Modelling: Principles and Applications. Pearson Education.
3. Whitesides, G. M. (2015). "Reinventing Chemistry." Angewandte Chemie International Edition, 54(2), 31963209.
© Okuzova A., Atayeva A., 2024
УДК 62
Ovezov B.,
student.
Otuzova B.,
teacher.
Oguz han Engineering and Technology university of Turkmenistan.
Ashgabat, Turkmenistan.
FULL STACK SECURITY Annotation
Full Stack Security involves implementing protective measures across all layers of an application's architecture, from the front-end to the back-end, including network infrastructure, APIs, and databases. With the increasing complexity of modern software systems and the rise of sophisticated cyber threats, a holistic approach to security has become essential. This paper explores the core principles of full stack security, detailing key strategies, tools, and methodologies for securing each layer of the stack. Additionally, it addresses emerging challenges such as zero-day vulnerabilities, supply chain attacks, and the integration of AI in threat detection and mitigation. By adopting a comprehensive security model, organizations can enhance resilience and ensure the integrity, availability, and confidentiality of their systems.
Keywords:
full stack security, cybersecurity, application security, zero-day vulnerabilities, AI in security, supply chain attacks, secure software development lifecycle.
The advent of cloud computing, microservices, and interconnected systems has transformed the way applications are designed and deployed. While these advancements offer unparalleled efficiency and scalability, they also introduce significant security challenges. Full stack security emphasizes the need for a unified approach
to safeguarding every component of the application stack. This paper aims to provide an overview of full stack security and its relevance in the modern cybersecurity landscape. The Layers of Full Stack Security
1. Front-End Security
Front-end security focuses on protecting the client-side components, which are often exposed to end users and, consequently, to potential attacks. Common threats include Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and clickjacking. Best practices include: o Input validation and sanitization o Content Security Policies (CSP)
o Secure implementation of cookies and session tokens
2. Back-End Security
The back-end layer manages core application logic, data processing, and database interactions. Threats at this layer include SQL injection, authentication bypasses, and API vulnerabilities. Recommended practices include:
o Strong access controls and authentication mechanisms o Encryption of sensitive data at rest and in transit o Regular security audits and code reviews
3. Database Security
Databases store critical business and user data, making them prime targets for attackers. Security strategies include:
o Implementing least privilege access controls o Regularly patching database management systems o Monitoring for anomalous activities and unauthorized access
4. Network Security
Network infrastructure underpins the communication between various stack layers. Key measures include: o Firewalls and intrusion detection/prevention systems (IDS/IPS) o Secure configurations of network devices o Regular penetration testing and vulnerability assessments
5. DevOps and CI/CD Security
Security in the development pipeline is critical to prevent vulnerabilities from being introduced during the software development lifecycle. Recommended strategies include: o Using secure repositories and dependency management o Implementing automated security testing in CI/CD pipelines o Continuous monitoring for vulnerabilities in deployed environments Emerging Challenges
1. Zero-Day Vulnerabilities
Zero-day exploits present unique challenges as they target undisclosed vulnerabilities. Effective mitigation involves:
o Proactive threat intelligence gathering o Implementing runtime protection mechanisms
2. Supply Chain Attacks
Modern applications often rely on third-party libraries and services, increasing the risk of supply chain attacks. Security measures include:
o Conducting rigorous assessments of third-party dependencies o Employing software bill of materials (SBOM) tools
3. AI and Machine Learning in Security
The integration of AI enhances threat detection and response capabilities. However, it also introduces risks, such as adversarial attacks on machine learning models. Balancing the benefits and risks of AI in security is critical for future-proofing systems.
Full stack security is not merely an option but a necessity in today's dynamic cybersecurity environment. By addressing vulnerabilities at every layer of the application stack and adopting an integrated security framework, organizations can minimize risks and maintain the trust of their users. A proactive and adaptive approach to security will ensure long-term resilience against evolving threats. Список использованной литературы:
1. Schneier, B. (2015). Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World. W.W. Norton & Company.
2. Anderson, R. (2020). Security Engineering: A Guide to Building Dependable Distributed Systems (3rd ed.). Wiley.
© Ovezov B., Otuzova B., 2024
УДК 62
Owliyagulyyev S.,
student.
Myradow R.,
teacher.
Oguz han Engineering and Technology university of Turkmenistan.
Ashgabat, Turkmenistan.
HEALTHY EATING AND EXERCISE AT HOME Annotation
Maintaining a healthy lifestyle has become increasingly essential, especially in the context of busy schedules and limited access to outdoor facilities. This paper explores the integration of healthy eating and home-based exercise routines to promote physical and mental well-being. Emphasis is placed on creating sustainable habits, optimizing nutritional intake, and implementing effective at-home workout strategies. Findings indicate that a balanced diet combined with regular physical activity can significantly improve health outcomes, reduce stress, and enhance overall quality of life. This study also highlights the role of digital tools and online resources in fostering a home-based healthy lifestyle.
Keywords:
healthy eating, home workouts, nutrition, physical fitness, wellness, lifestyle.
1. Introduction
In the modern era, maintaining health has become increasingly challenging due to sedentary lifestyles, processed food consumption, and lack of time for traditional fitness routines. However, with growing awareness about the importance of health and wellness, there is a shift toward integrating healthy habits into daily routines at home. This paper examines the synergistic relationship between healthy eating and home-based exercise, focusing on strategies to implement these practices effectively.
2. Theoretical Background
2.1 Healthy Eating
