بررسی کار برد هوش مصنوعی در امنیت شبکه های کمپیوتری

توضیحات

این یک مونوگراف تکمیل بوده که پرپوزل هم دارد شما میتوانید با پیام گذاشتن در وتسپ ما آن را دریافت کنید

وتسپ:۰۷۹۹۱۱۸۸۳۱

مونوگراف به صورت تضمینی بوده که نیاز به تغیرات ندارد و قبلا دفاع و ارایه شده است

---------------------------------------------

Introduction

In an era defined by pervasive connectivity and digital interdependence, the security of computer networks stands as a cornerstone of modern civilization. As organizations and individuals alike rely increasingly on digital infrastructure for communication, commerce, and critical services, the specter of cyber threats looms ever larger. Cyber-attacks, ranging from data breaches to sophisticated malware infiltrations, pose significant risks to the integrity, confidentiality, and availability of information systems.

Traditional approaches to network security, while effective to a certain extent, often struggle to keep pace with the evolving tactics and strategies employed by malicious actors. Signature-based detection systems and rule-based defenses, once considered stalwarts of cybersecurity, now confront challenges in effectively thwarting the myriad of advanced and polymorphic threats that characterize the contemporary threat landscape.

In response to this escalating arms race between defenders and adversaries, the integration of artificial intelligence (AI) technologies has emerged as a transformative paradigm in bolstering network security. Leveraging the computational prowess of machine learning, deep learning, and other AI techniques, organizations seek to imbue their security operations with predictive, adaptive, and autonomous capabilities.

This introduction sets the stage for a comprehensive investigation into the application of artificial intelligence in the security of computer networks. Through a nuanced exploration of AI-driven approaches to intrusion detection, anomaly detection, threat intelligence, and adaptive defense mechanisms, this study seeks to elucidate the promises, challenges, and implications inherent in the convergence of AI and cybersecurity. By probing the multifaceted dimensions of AI in network security, this research endeavors to contribute to the ongoing discourse surrounding the efficacy, scalability, and ethical considerations of deploying AI technologies in safeguarding digital ecosystems. In doing so, it aspires to inform strategic decision-making, spur innovation, and foster resilience in the face of evolving cyber threats.

Research problem

This research aims to investigate the application of artificial intelligence (AI) techniques in bolstering the security of computer networks. With the increasing complexity and sophistication of cyber threats, traditional security measures often fall short in adequately safeguarding sensitive data and critical infrastructure. AI offers promising capabilities to analyze vast amounts of data, identify patterns, detect anomalies, and respond to security incidents in real-time. This study will delve into various AI-driven approaches such as machine learning, deep learning, and natural language processing

Literature Review

In today's increasingly developed network information technology, computer network technology is widely used in all walks of life, we must recognize the value of the application of innovative technology, among them, artificial intelligence technology is a typical computer technology, relying on intelligent machines and equipment, to achieve intelligent control, and then improve production efficiency and quality, improve the efficiency of data and information processing As a result, it saves a lot of time and resources and improves social productivity.[1]

The development and application of artificial intelligence in computer network technology has greatly improved the security of computer networks and effectively prevented and solved various risks. At the same time, artificial intelligence technology promotes the intelligence of computer networks and improves the practicability of artificial intelligence technology. Artificial intelligence is a complex and multidisciplinary technology with a variety of intelligent theories and methods. [2]

Looking ahead, the future of AI in cybersecurity is promising. Enhanced threat detection, autonomous security systems, predictive and proactive cybersecurity, and human-machine collaboration will shape the landscape. Privacy-preserving AI, intelligent threat hunting, and continuous learning and adaptation will further strengthen defenses. At digit alert, we recognize the potential of AI in cybersecurity and strive to leverage its benefits while upholding the human element. Our commitment is to deliver innovative solutions that harness the power of AI while ensuring transparency, accountability, and adherence to ethical principles. As we navigate the ever-changing cybersecurity landscape, the partnership between AI and the human element will play a pivotal role in safeguarding our digital world. Together, we can embrace the advancements of AI and empower organizations to stay resilient in the face of evolving cyber threats. [3]

AI brings a range of capabilities that can revolutionize the traditional approach to cybersecurity. AI has the potential to significantly strengthen our defense against evolving cyber threats by automating tasks, improving accuracy, and reducing costs. The adoption of AI in cybersecurity enables organizations to detect and respond to threats in real-time, leveraging machine learning algorithms that can analyze vast amounts of data and identify patterns that are difficult for humans to discern. [4]

The knowledge map of AI applications in cyber security is visualized. Through the co-cited references network analysis, co-occurrence keywords network analysis, burst references analysis, burst keywords analysis and dual-map overlays analysis, the structural changes, hotspots and emerging trends of AI applications in cyber security have been identified in a multi criteria and comprehensiveness way. Besides, we generated the area distribution of AI applications in cyber security research all over the world. The knowledge map of AI applications in cyber security is visualized. Through the co-cited references network analysis, co-occurrence keywords network analysis, burst references analysis, burst keywords analysis and dual-map overlays analysis, the structural changes, hotspots and emerging trends of AI applications in cyber security have been identified in multi criteria and comprehensiveness way. Besides, we generated the area distribution of AI applications in cyber security research all over the world.[5]

Research Methodology

The library method is used in this research. Library research involves a systematic approach to gathering, analyzing, and utilizing information from existing sources such as books, academic journals, reports, and other printed or digital materials. Here are the steps involved in conducting library research:

1. Define the Research Topic and Objectives

Identify the Research Question: Clearly state the problem or question you aim to address.

Set Objectives: Determine what you want to achieve with your research.

2. Conduct a Preliminary Search

Explore General Resources: Use encyclopedias, dictionaries, and textbooks to get an overview of the topic.

Identify Key Terms: Find and list keywords and phrases related to your research topic.

3. Locate Resources

Library Catalogs: Use the library’s catalog to find books, e-books, and other resources.

Bibliographies: Use the references and bibliographies from relevant sources to find additional materials.

4. Evaluate Sources

Check Credibility: Ensure the sources are reliable, authoritative, and up-to-date.

Relevance: Assess how well the source addresses your research question or supports your hypothesis.

Bias: Be aware of any potential biases in the sources and consider different perspectives.

5. Topic title Information

Take Notes: Summarize key points, ideas, and data from the sources.

Create an Outline: Organize the information logically to structure your research paper.

6. Analyze and Synthesize Information

Compare Findings: Look for similarities and differences in the data and arguments presented by various sources.

Integrate Ideas: Combine insights from different sources to form a comprehensive understanding of the topic.

The importance of the Issue

According to the cyber-attacks that are carried out in the world, artificial intelligence is the best option for network security. Here we express the importance of this issue

1. Enhanced Threat Detection

AI can analyze vast amounts of network traffic data to identify patterns and anomalies that might indicate a cyber-attack. Traditional security systems often struggle with the sheer volume of data and the sophistication of modern threats. AI systems, particularly those using machine learning, can continuously learn from new data, improving their ability to detect even the most subtle signs of an impending attack.

2. Real-Time Response

AI-powered security solutions can respond to threats in real-time. By automating responses, AI can mitigate attacks as they happen, reducing the potential damage. This rapid reaction capability is vital in today's fast-paced cyber environment where delays in response can result in significant data breaches or other security incidents.

3. Adaptive Security Measures

AI systems can adapt to evolving threats. Cybercriminals constantly change their tactics, techniques, and procedures (TTPs). AI can help in developing adaptive security measures that evolve alongside these threats, ensuring that defenses remain robust against new types of attacks.

خلاصه تحقیق

As the digital landscape evolves, the security of computer networks becomes increasingly paramount. Traditional security measures often struggle to keep pace with the dynamic nature of cyber threats. In response, the integration of artificial intelligence (AI) technologies has emerged as a promising approach t

اشتراک‌گذاری: