Denial-of-Service Attacks in Wireless Networks Using Off-the-Shelf Hardware

Fragkiadakis, Alexandros; Askoxylakis, Ioannis G.; Chatziadam, Panos

doi:10.1007/978-3-319-07788-8_40

Cited by 13 publications

(11 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, other types of DoS attacks may exploit the broadband nature of the wireless medium. For example, malicious interference at the physical layer, even using o -the-shelf hardware, can cause packet collisions at the media access control (MAC) layer [36].…”

Section: Preconditionmentioning

confidence: 99%

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

Panaousis

Mouratidis

2016

Information Security Theory and Practice

View full text Add to dashboard Cite

Abstract. Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are going to extensively rely on dense small cell deployments, which would exploit infrastructure and network functions virtualization (NFV), and push the network intelligence towards network edges by embracing the concept of mobile edge computing (MEC). As security will be a fundamental enabling factor of small cell as a service (SCaaS) in 5G networks, we present the most prominent threats and vulnerabilities against a broad range of targets. As far as the related work is concerned, to the best of our knowledge, this paper is the rst to investigate security challenges at the intersection of SCaaS, NFV, and MEC. It is also the rst paper that proposes a set of criteria to facilitate a clear and e ective taxonomy of security challenges of main elements of 5G networks. Our analysis can serve as a staring point towards the development of appropriate 5G security solutions. These will have crucial e ect on legal and regulatory frameworks as well as on decisions of businesses, governments, and end-users.

show abstract

Section: Preconditionmentioning

confidence: 99%

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

Panaousis

Mouratidis

2016

Information Security Theory and Practice

View full text Add to dashboard Cite

show abstract

“…In [1], authors have utilized cumulative-sum algorithm to detect abrupt changes in SINR. They show that the output of their proposed algorithm increases in the presence of a jammer.…”

Section: Jammer and Cheater Detection In Ieee 80211 Wlansmentioning

confidence: 99%

“…(spaced by DIFS) or during a frame transmission, the average BAT (BAT ) can be deduced from Figure 6 as follows in (1).…”

Section: An Analytical Model For Predicting Batmentioning

confidence: 99%

A novel cheater and jammer detection scheme for IEEE 802.11-based wireless LANs

2015

View full text Add to dashboard Cite

The proliferation of IEEE 802.11 networks has made them an easy and attractive target for malicious devices/adversaries which intend to misuse the available network. In this paper, we introduce a novel malicious entity detection method for IEEE 802.11 networks. We propose a new metric, the Beacon Access Time (BAT), which is employed in the detection process and inherits its characteristics from the fact that beacon frames are always given preference in IEEE 802.11 networks. An analytical model to define the aforementioned metric is presented and evaluated with experiments and simulations. Furthermore, we evaluate the adversary detection capabilities of our scheme by means of simulations and experiments over a real testbed. The simulation and experimental results indicate consistency and both are found to follow the trends indicated in the analytical model. Measurement results indicate that our scheme is able to correctly detect a malicious entity at a distance of, at least, 120m. Analytical, simulation and experimental results signify the validity of our scheme and highlight the fact that our scheme is both efficient and successful in detecting an adversary (either a jammer or a cheating device). As a proof of concept, we developed an application that when deployed at the IEEE802.11 Access Point, is able to effectively detect an adversary. c ⃝ 2014 Eduard Garcia-Villegas under Creative Commons (CC BY-NC-ND)

show abstract

“…Jamming attacks can become a major concern for control systems, since they are easy to launch. The work in [ 16 ] illustrates that off-the-shelf hardware with wireless capabilities can be used for generating jamming attacks on wireless networks that use the popular IEEE 802.11 protocol. Jamming attacks can target both the physical layer and the medium access control (MAC) layer of the protocol.…”

Section: Introductionmentioning

confidence: 99%

“…In the case of physical-layer attacks, the jamming attacker is not even required to follow the wireless protocol. By simply emitting strong interference signals, the jamming attacker can cause a decrease in the Signal to Interference plus Noise Ratio (SINR), which in turn prevents the receiver to detect transmitted packets [ 16 ]. In the case of MAC-layer attacks, both the packet sender and the jamming attacker operate on the same channel; the jamming attacker’s goal is to cause packet collisions [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

An Overview on Denial-of-Service Attacks in Control Systems: Attack Models and Security Analyses

Cetinkaya

Ishii

Hayakawa

2019

Entropy

134

View full text Add to dashboard Cite

In this paper, we provide an overview of recent research efforts on networked control systems under denial-of-service attacks. Our goal is to discuss the utility of different attack modeling and analysis techniques proposed in the literature for addressing feedback control, state estimation, and multi-agent consensus problems in the face of jamming attacks in wireless channels and malicious packet drops in multi-hop networks. We discuss several modeling approaches that are employed for capturing the uncertainty in denial-of-service attack strategies. We give an outlook on deterministic constraint-based modeling ideas, game-theoretic and optimization-based techniques and probabilistic modeling approaches. A special emphasis is placed on tail-probability based failure models, which have been recently used for describing jamming attacks that affect signal to interference-plus-noise ratios of wireless channels as well as transmission failures on multi-hop networks due to packet-dropping attacks and non-malicious issues. We explain the use of attack models in the security analysis of networked systems. In addition to the modeling and analysis problems, a discussion is provided also on the recent developments concerning the design of attack-resilient control and communication protocols.

show abstract

Denial-of-Service Attacks in Wireless Networks Using Off-the-Shelf Hardware

Cited by 13 publications

References 10 publications

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

Security Challenges of Small Cell as a Service in Virtualized Mobile Edge Computing Environments

A novel cheater and jammer detection scheme for IEEE 802.11-based wireless LANs

An Overview on Denial-of-Service Attacks in Control Systems: Attack Models and Security Analyses

Contact Info

Product

Resources

About