A Review on Various Sniffing Attacks and its Mitigation Techniques

Prabadevi, B.; Jeyanthi, N.

doi:10.11591/ijeecs.v12.i3.pp1117-1125

Cited by 14 publications

(13 citation statements)

References 19 publications

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“…This makes access control attack one of the major concerns at the application layer [36]. Sniffing attack takes place with the help of sniffing tools where attacker sniffs network traffic data, and confidential data is compromised in this attack [37].…”

Section: Security Issues In Iot Domainmentioning

confidence: 99%

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

2021

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Internet of Things (IoT) technology is prospering and entering every part of our lives, be it education, home, vehicles, or healthcare. With the increase in the number of connected devices, several challenges are also coming up with IoT technology: heterogeneity, scalability, quality of service, security requirements, and many more. Security management takes a back seat in IoT because of cost, size, and power. It poses a significant risk as lack of security makes users skeptical towards using IoT devices. This, in turn, makes IoT vulnerable to security attacks, ultimately causing enormous financial and reputational losses. It makes up for an urgent need to assess present security risks and discuss the upcoming challenges to be ready to face the same. The undertaken study is a multi-fold survey of different security issues present in IoT layers: perception layer, network layer, support layer, application layer, with further focus on Distributed Denial of Service (DDoS) attacks. DDoS attacks are significant threats for the cyber world because of their potential to bring down the victims. Different types of DDoS attacks, DDoS attacks in IoT devices, impacts of DDoS attacks, and solutions for mitigation are discussed in detail. The presented review work compares Intrusion Detection and Prevention models for mitigating DDoS attacks and focuses on Intrusion Detection models. Furthermore, the classification of Intrusion Detection Systems, different anomaly detection techniques, different Intrusion Detection System models based on datasets, various machine learning and deep learning techniques for data pre-processing and malware detection has been discussed. In the end, a broader perspective has been envisioned while discussing research challenges, its proposed solutions, and future visions.

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Section: Security Issues In Iot Domainmentioning

confidence: 99%

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

2021

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“…In [8], the vulnerabilities and the threats in critical infrastructures are presented, and possible solutions are recommended. In [9], the authors present a review of the existing sniffing attacks, variations of these attacks, and prevention and detection techniques. Moreover, in [10], the authors presented a review of SQL injection attacks.…”

Section: Related Workmentioning

confidence: 99%

Intrusion Detection in Critical Infrastructures: A Literature Review

et al. 2021

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Over the years, the digitization of all aspects of life in modern societies is considered an acquired advantage. However, like the terrestrial world, the digital world is not perfect and many dangers and threats are present. In the present work, we conduct a systematic review on the methods of network detection and cyber attacks that can take place in a critical infrastructure. As is shown, the implementation of a system that learns from the system behavior (machine learning), on multiple levels and spots any diversity, is one of the most effective solutions.

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“…In the past, the electronic devices that facilitated various needs were independent, and other isolated systems functioned to meet the required objectives. Since systems such as smart homes [ 1 ] are now required to provide the user’s needs remotely, they are prone to cyber attacks, namely, phishing attacks [ 2 ], man-in-the-middle attacks, and DDoS attacks [ 3 ]. Such IoT devices have scales for generating data, from small-scale applications with a few bytes every second to those with several kilobytes every second, depending upon the addressed application.…”

Section: Introductionmentioning

confidence: 99%

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications

Mishra

Pandya

Patel³

et al. 2021

Sensors

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Distributed denial-of-service (DDoS) attacks are significant threats to the cyber world because of their potential to quickly bring down victims. Memcached vulnerabilities have been targeted by attackers using DDoS amplification attacks. GitHub and Arbor Networks were the victims of Memcached DDoS attacks with 1.3 Tbps and 1.8 Tbps attack strengths, respectively. The bandwidth amplification factor of nearly 50,000 makes Memcached the deadliest DDoS attack vector to date. In recent times, fellow researchers have made specific efforts to analyze and evaluate Memcached vulnerabilities; however, the solutions provided for security are based on best practices by users and service providers. This study is the first attempt at modifying the architecture of Memcached servers in the context of improving security against DDoS attacks. This study discusses the Memcached protocol, the vulnerabilities associated with it, the future challenges for different IoT applications associated with caches, and the solutions for detecting Memcached DDoS attacks. The proposed solution is a novel identification-pattern mechanism using a threshold scheme for detecting volume-based DDoS attacks. In the undertaken study, the solution acts as a pre-emptive measure for detecting DDoS attacks while maintaining low latency and high throughput.

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A Review on Various Sniffing Attacks and its Mitigation Techniques

Cited by 14 publications

References 19 publications

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

Intrusion Detection in Critical Infrastructures: A Literature Review

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications

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