Anomaly-Based Intrusion Detection Algorithms for Wireless Networks

Fragkiadakis, Alexandros; Siris, Vasilios A.; Petroulakis, Nikolaos E.

doi:10.1007/978-3-642-13315-2_16

Cited by 18 publications

(14 citation statements)

References 12 publications

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“…In a random jamming attack, the attack and sleep durations are both randomized, and in a periodic jamming attack the jammer uses a fixed period and duty cycle [10]. These attacks are most effective if information is known to the attacker about the error correction and error checks used by the legitimate communication.…”

Section: B Attack Modelsmentioning

confidence: 99%

“…For example, attackers can target control channels to reduce energy expenditure by serveral orders of magnitude over jamming data channels [8,9]. To increase attack efficiency, a jammer can also alternate between jamming and sleeping, either with a constant period and duty cycle in a periodic jamming attack, or using randomized jamming and sleeping durations in a random jamming attack [10]. An illustration of random jamming is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

DeBruhl

Tague

2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

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Abstract-Jamming attackers can dramatically increase attack efficiency and stealth by randomly or periodically cycling the jamming transmission on and off, attacks respectively known as random and periodic jamming. In this paper, we analyze the impact of such attacks on the IEEE 802.15.4 communication protocol, commonly used in wireless sensor networking applications, and show that the cycling behavior introduces a narrow spectral component into the received signal. We propose the inclusion of a digital filter at the receiver side to effectively eliminate this spectral component, and we discuss the benefits involved in this filter design. We evaluate the impacts of random and periodic jamming with and without the proposed filter, through implementation in software defined radios. Through our evaluation, we observe over 90% reduction in packet error rate with the proposed digital filter.

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Section: B Attack Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

DeBruhl

Tague

2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

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“…This code ensures the integrity of the MAC header and the attached payload data. On the other hand, jamming attacks can be detected using suitable algorithms based on dropped packets or the decrease of the signal to noise ratio [35]. In order to mitigate such attacks, two possible solutions may be applied: (i) an increase in the power level or (ii) a channel assignment procedure as described in [36].…”

Section: Security Challenges Due To Limited Resources and Energymentioning

confidence: 99%

A lightweight framework for secure life-logging in smart environments

Petroulakis

Τράγος

Fragkiadakis

et al. 2013

Information Security Technical Report

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractAs the world becomes an interconnected network where objects and humans interact with each other, new challenges and threats appear in the ecosystem. In this interconnected world, smart objects have an important role in giving users the chance for life-logging in smart environments. However, smart devices have several limitations with regards to memory, resources and computation power, hindering the opportunity to apply well-established security algorithms and techniques for secure life-logging on the Internet of Things (IoT) domain. The need for secure and trustworthy life-logging in smart environments is vital, thus, a lightweight approach has to be considered to overcome the constraints of smart objects. The purpose of this paper is to present in details the current topics of life-logging in smart environments, while describing interconnection issues, security threats and suggesting a lightweight framework for ensuring security, privacy and trustworthy life-logging. In order to investigate the efficiency of the lightweight framework and the impact of the security attacks on energy consumption, an experimental test-bed was developed including two interconnected users and one smart attacker, who attempts to intercept transmitted messages or interfere with the communication link. Several mitigation factors, such as power control, channel assignment and AES-128 encryption were applied for secure life-logging. Finally, research into the degradation of the consumed energy regarding the described intrusions is presented.

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“…In our previous works ( [6,7]), we investigated several algorithms for jamming detection, all based on the SINR. Among all, Cusum Max-Min (C mm ) has the best performance in terms of the DP, FAR, and robustness (the term robustness is analysed in Section 6).…”

Section: Jamming Detectionmentioning

confidence: 99%

“…In our previous studies [6,7], we investigated the performance of several algorithms for the detection of physical-layer jamming attacks. This type of attacks can be launched by adversaries through the generation of interference in neighbouring channels.…”

Section: Introductionmentioning

confidence: 99%

Design and performance evaluation of a lightweight wireless early warning intrusion detection prototype

Fragkiadakis

Τράγος

Tryfonas

et al. 2012

J Wireless Com Network

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The proliferation of wireless networks has been remarkable during the last decade. The license-free nature of the ISM band along with the rapid proliferation of the Wi-Fi-enabled devices, especially the smart phones, has substantially increased the demand for broadband wireless access. However, due to their open nature, wireless networks are susceptible to a number of attacks. In this work, we present anomaly-based intrusion detection algorithms for the detection of three types of attacks: (i) attacks performed on the same channel legitimate clients use for communication, (ii) attacks on neighbouring channels, and (iii) severe attacks that completely block network's operation. Our detection algorithms are based on the cumulative sum change-point technique and they execute on a real lightweight prototype based on a limited resource mini-ITX node. The performance evaluation shows that even with limited hardware resources, the prototype can detect attacks with high detection rates and a few false alarms.

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Anomaly-Based Intrusion Detection Algorithms for Wireless Networks

Cited by 18 publications

References 12 publications

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

Digital Filter Design for Jamming Mitigation in 802.15.4 Communication

A lightweight framework for secure life-logging in smart environments

Design and performance evaluation of a lightweight wireless early warning intrusion detection prototype

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