network security attacks research papers

The aim of this paper is to critically review the studies on networking security, categorizing various attacks and threats and measures that need to be implemented for protection.

The purpose of a cyber-attack is to destroy and disrupt the operation of a computer network. Cyber-attack and cyber-warfare: The attack must have political or security purposes. cyber-warfare: The effects of a cyber-attack are the same as an armed attack or the cyber act took place in the context of an armed attack.

Multiple research methods have been utilized and evaluated to identify the most suitable approach for network security and attack detection in the context of cloud computing. The analysis and implementation of diverse research studies demonstrate that the based signature intrusion detection method outperforms others in terms of precision ...

On 21 October 2016, a stream of distributed denial of service (DDoS) attacks involving tens of millions of Internet Protocol (IP) addresses had been noted and attacked dyn domain name system (DNS). 1 The magnitude of the attack was claimed to be 1.2 Tbps and it has involved Internet of Things (IoT) devices. 1 This significant incident of DDoS attacks has proven the immense danger inherent with ...

The significant growth in the use of the Internet and the rapid development of network technologies are associated with an increased risk of network attacks. Network attacks refer to all types of unauthorized access to a network including any attempts to damage and disrupt the network, often leading to serious consequences. Network attack detection is an active area of research in the ...

1 INTRODUCTION. Despite persistent efforts to prevent, detect, and mitigate Distributed Denial of Service (DDoS) attacks on computer networks, these destructive attacks remain prevalent. 1-3 As such, finding solutions to this problem continues to be a critical challenge in the field of network security. DDoS attacks involve leveraging a network of obedient devices, commonly referred to as ...

Thomas Thomas (2018) also examined how users and employees within organizations can avoid ransomware attacks, but this paper focused on how individuals can avoid falling for phishing attacks, which are a common first step for ransomware. The author surveyed several security professionals and, based on the findings from the survey, proposed ...

Many network solutions have their own defined security loopholes. Malicious activities can use a malware to perform the attacks and these attacks can spoof the information over the network and cause severe damage. Such attacks, not only has implications for productivity, but also has an avalanche effect on the future business, finance and ...

According to the study findings, intrusion alert analysis is a rapidly growing research field. The paper gives a good insight into the current state-of-the-art regarding intrusion alert analysis. Chockalingam et al. performed a systematic review to evaluate the effectiveness of a Bayesian network model in cyber security. Seventeen Bayesian ...

Then a proposed framework for cybersecurity is illustrated using DL techniques for general applications. Then, a lab setup is performed to capture live network packets, analyze real-time cyber security attacks, and assess various essential characteristics, namely false alarm rate, detection rate, accuracy, precision, recall, etc.

Hijacking attacks: Hijacking attacks are a type of network security attack in which the attacker takes control of computer systems, software programs, and network communications . Most cyber attacks rely on hijacking in some way, and hacking is regularly, if not always, illegal, with severe consequences for both the attacker and the victim.

Abstract Anomaly-based network intrusion detection systems are highly significant in detecting network attacks. Robust machine learning and deep learning models for identifying network intrusion and attack types are proposed in this paper. Proposed models have experimented with the UNSW-NB15 dataset of 49 features for nine different attack samples.

Hence, enhancing NS security, privacy, and trust has become a key research area toward realizing the true capabilities of 5G. This paper presents a comprehensive and up-to-date survey on NS security. The paper articulates a taxonomy for NS security and privacy, laying the structure for the survey.

The goal of this paper is to communicate an updated perspective of network security for organizations, and researchers in the field and present some recommendations to tackle the current situation of security threats. Keywords: cyber attacks. data breaches. intrusions. network security. security intelligence.

This survey paper provides a comprehensive overview of recent research and development in network security that uses graphs and graph-based data representation and analytics. The paper focuses on the graph-based representation of network traffic records and the application of graph-based analytics in intrusion detection and botnet detection. The paper aims to answer several questions related ...

Most new research deploys AI/ML for security tasks. AI/ML can potentially disrupt the classical principles of network security by introducing fast reactions to anomalies detected in the network and, sometimes, even by preventing the attacks before they impact the network.

Modern targeted attacks such as Advanced Persistent Threats use multiple hosts as stepping stones and move laterally across them to gain deeper access to the network. However, existing defenses lack end-to-end information flow visibility across hosts and cannot block cross-host attack traffic in real time. In this paper, we propose P4Control, a network defense system that precisely confines ...

Wireless Network Security . Wireless Router . Network Security System. The use of computer networks in an agency aims to facilitate communication and data transfer between devices. The network that can be applied can be using wireless media or LAN cable. At SMP XYZ, most of the computers still use wireless networks.

Wireless sensor networks (WSNs) is an increasingly valuable foundational technology for the Internet of Things (IoT). 1 WSN is considered an increasingly important fundamental component of the IoT. The WSN market was worth the US $46.76 billion in 2020 and is predicted to be worth US $126.93 billion by 2026, growing at a CAGR of 17.64% between 2021 and 2026. 2-5 As a result, the use of WSNs ...

The article is a full research paper (i.e., not a presentation or supplement to a poster). ... These five cybersecurity functions cover the use of AI tasks from the prevention of the security attack to the more complex mechanism of actively looking for new threats and counterattack. ... Customized optimal allocation and network security ...

By analyzing the effectiveness of ensemble learning across multiple datasets, This paper lays the groundwork for better DDoS defense tactics in SDN contexts while also advancing network security. Through this research, we strive to bridge the gap between evolving attack vectors and cutting-edge defense mechanisms, ultimately bolstering the ...

Mitigate Risks and Threads. Priyanka Dedakia. Department of Computing and information. Bournemouth University. Bournemouth, U.K. [email protected]. Abstract — Network security is a set ...

These network functions (PNFs and VNFs), end users, and IoT devices interact with each other over either a conventional or an SDN-based network. The research classifies attacks on the IoT as ...

The simulation results show that the proposed method can comprehensively consider the cyber-physical energy supply coupling relationship, the risk propagation probability, and the operating characteristics of the information system, and effectively quantify and evaluate the impact of information space network attacks on the physical space ...

Since 2020, our vulnerability research team has tracked both scale and speed of exploitation. For two of the last three years, more mass compromise events have arisen from zero-day exploits than from n-day exploits. 53% of widely exploited CVEs in 2023 and early 2024 started as zero-day attacks. Network edge device exploitation has increased.

Abstract. The computer network technology is developing rapidly, and the development of internet technology is more quickly, people more aware of the importance of the network security. Network security is main issue of computing because many types of attacks are increasing day by day. In mobile ad-hoc network the nodes are independent.

The first section provides an introduction and background to the research area. A brief overview of network attacks is presented in Section 2. Section 3 discusses intelligent network attack mitigation techniques where all the reviewed research papers, the network attacks they address using ML and DL techniques, and their findings are presented ...

There is a critical gap in the security community in understanding the risks associated with AI tools in corporate environments. AI-Powered Threats - AI can be used to enhance attacks, from malware to phishing to browser extension exploitation to supply chain attacks. These threats leverage AI-driven personalization to make attacks more ...

Depending on the amount of data, the extent of the damage caused by a data breach can be significant, with the average cost being USD 392 million Footnote 1 (IBM Security 2020). This research paper reviews the existing literature and open data sources related to cybersecurity and cyber risk, focusing on the datasets used to improve academic ...

Although deep neural networks have been successfully applied in many fields, research studies show that neural network models are easily disrupted by small malicious inputs, greatly reducing their performance. Such disruptions are known as adversarial attacks. To reduce the impact of adversarial attacks on models, researchers have proposed adversarial training methods. However, compared with ...