Performance Analysis of Denial of Service DoS and Distributed DoS Attack of Application and Network Layer of IoT

Alahari, Hanumat Prasad; Yelavarthi, Suresh Babu

doi:10.1109/icisc44355.2019.9036403

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…The True Positive Rate (TPR) value is obtained from the number of DoS attack data that is successfully detected or classified as an attack as illustrated in Eq. (10). Thus, TPR has an effect on measuring the of the proposed method.…”

Section: True Positive Rate (Tpr)mentioning

confidence: 98%

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NTDA: The Mitigation of Denial of Service (DoS) Cyberattack Based on Network Traffic Detection Approach

Tahboush,

Hamdan,

Alzobi

et al. 2024

IJACSA

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Security is one of the important aspects which is used to protect data availability from being compromised. Denial of service (DoS) attack is a common type of cyberattack and becomes serious security threats to information systems and current computer networks. DoS aims to explicit attempts that will consume and disrupt victim resources to limit access to information services by flooding a target system with a high volume of traffic, thereby preventing the availability of the resources to the legitimate users. However, several solutions were developed to overcome the DoS attack, but still suffer from limitations such as requiring additional hardware, fail to provide a unified solution and incur a high delay of detection accuracy. Therefore, the network traffic detection approach (NTDA) is proposed to detect the DoS attack in a more optimistic manner based on various scenarios. First, the high network traffic measurements and mean deviation, second scenario relied on the transmission rate per second (TPS) of the sender. The proposed algorithm NTDA was simulated using MATLAB R2020a. The performance metrics taken into consideration are false negative rate, accuracy, detection rate and true positive rate. The simulation results show that the performance parameters of proposed NTDA algorithm outperformed in DoS detection the other well-known algorithms.

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Section: True Positive Rate (Tpr)mentioning

confidence: 98%

“…These attacks are lethal because they can bypass traditional intrusion detection systems to produce more network traffic. They have particular characteristics and traits, such as a low average rate and use of TCP as attack traffic, which allows them to avoid detection [10]. The objectives of a DoS attack can be classified as [11]:…”

Section: Introductionmentioning

confidence: 99%

NTDA: The Mitigation of Denial of Service (DoS) Cyberattack Based on Network Traffic Detection Approach

Tahboush,

Hamdan,

Alzobi

et al. 2024

IJACSA

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“…Denial of Service (DoS) Attacks: The Internet layer is vulnerable to DoS attacks that aim to disrupt network services by overwhelming the target with excessive traffic [60]. According to [61], DoS attacks at the TCP/IP internet layer are malicious attempts to disrupt the normal functioning of targeted servers, services, or networks by overwhelming them with a flood of internet traffic as shown in Figure 3.…”

Section: Security Issuesmentioning

confidence: 99%

Performance, privacy and security issues at the TCP internet layer

Ogweno Jeremiah okeyo

2024

World J. Adv. Res. Rev.

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The rapid growth of internet-based services and applications has revolutionized the way we communicate, interact, and conduct business. However, this widespread connectivity also brings forth numerous challenges related to performance and privacy security at the internet layer. This paper aims to provide a comprehensive analysis of the various issues that arise in this context, highlighting their impact on user experience, data protection, and network efficiency, to address performance concerns; the research paper investigates the factors affecting internet Layer. Through extensive research studies, the paper examines the impact of network congestion, routing inefficiencies, and protocol limitations on the overall performance of internet-based services. This research delves into the vulnerabilities and risks associated with the internet layer. It investigates the potential threats posed by malicious actors, including hackers, data breaches, and unauthorized access to sensitive information. The findings of this research contribute to a comprehensive understanding of the interplay between performances and privacy security issues at the internet layer. By identifying the key challenges and potential solutions, this study provides valuable insights for network administrators, service providers, policymakers, and end-users to optimize performance while ensuring robust privacy and security measures. Ultimately, this research aims to foster a safer and more efficient internet ecosystem for all stakeholders.

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“…Smart city, smart home and smart car are some of the examples of application layer automation. Some of the application layer attacks are buffer overflow attacks [20], Cross-site Scripting attack [20], SQL injection attack [21], denial of service attack [22], phishing attacks [23], and data privacy issue [24].…”

Section: Application Layer and Security Attacksmentioning

confidence: 99%

“…This link facilitates to process, pre-process, and store IoT node information based on the third party and node requirement [20]. An intruder can introduce different attacks in the Middleware in a different way such as application security attack [20], unauthorised access attack [25], replay attack [21], sleep deprivation attack [22], data security attack [26] etc. Middleware and application layer both are using resource-rich devices which can use the traditional cryptography to secure the IoT networks.…”

Section: Middleware Layer and Security Attacksmentioning

confidence: 99%