Comparative Analysis of DoS and DDoS Attacks in Internet of Things Environment

Ghali, Abdulrahman Aminu; Ahmad, Rohiza; Alhussian, Hitham

doi:10.1007/978-3-030-51971-1_15

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…• Denial of Service (DoS) attack: The adversary floods the nodes with spurious requests to slowdown or shutdown an IoT ecosystem, thus, preventing users from accessing it [32]. The packets are fake as they are spoofed and are full of random values [33].…”

Section: Hardware-related Attacksmentioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

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<p>Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations to transportation ecosystems can bring manyfold benefits from fully autonomous driving services to proactive vehicle monitoring and traffic management. Given the complexity involved in the deployment of EC-CAVs, zero-tolerance safety and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. This paper presents a reference architecture of EC-CAVs to investigate existing and emerging cyber-threats for deriving a common attack taxonomy for the EC-CAVs ecosystem. Subsequently, a comprehensive survey of security mechanisms is presented that can ensure safe and secure transportation of passengers from one destination to another using an EC-CAVs ecosystem.</p>

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Section: Hardware-related Attacksmentioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…• Man-in-The-Middle (MiTM) attack: The adversary intercepts and alters the genuine communication between the sender and the receiver without their knowledge, thus, manipulating both ends of information in real time. an IoT ecosystem, thus, preventing users from accessing it [46]. DoS attacks employ techniques like flooding the target with UDP or ICMP packets to target various network devices, such as routers, switches, and firewalls.…”

Section: B Network Attacksmentioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta,

Maple,

Passerone

2023

Preprint

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<p>Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits from fully autonomous driving services to proactive vehicle monitoring and traffic management. However, given the complexity involved in the deployment of CAVs, zero-tolerance safety, and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. In this article, we present a reference architecture of CAVs to investigate existing and emerging cyber threats and thus, derive a common attack taxonomy for a CAVs ecosystem based on our studies of academic literature and industry white papers. After that, we discuss security mechanisms for the CAVs ecosystem that can be useful for the safe and secure transportation of passengers from one destination to another. Our work can provide insights to security engineers and system architects for investigating security problems using a top-to-bottom approach and subsequently, identifying optimal security solutions for CAVs.</p>

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“…For example, in 2012, a botnet-based DDoS attack flooded a group of US banks with up to 75 Gbps of malicious traffic [10], while in 2013, a nonprofit organization named Spamhaus suffered a massive DDoS attack involving 300 Gbps of traffic [11]. In 2014, an unnamed Internet service provider was attacked by a network time protocol that generated traffic of up to 400 Gbps, which led to it becoming inaccessible to clients [12]. In October 2016, the Mirai botnet attacked Dyn, a web application security company, with up to 1.2 Tbps of malicious traffic [13].…”

Section: Background and Motivationmentioning

confidence: 99%

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

Aljuhani

2021

IEEE Access

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Comparative Analysis of DoS and DDoS Attacks in Internet of Things Environment

Cited by 9 publications

References 30 publications

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments

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