Advanced Border Intrusion Detection and Surveillance Using Wireless Sensor Network Technology

Felemban, Emad

doi:10.4236/ijcns.2013.65028

Cited by 62 publications

(35 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This step is inspired by the proximity-based authentication techniques (which trust those transmit nodes only that are in the close proximity) in the radio-frequency identification systems [30], and the works on border intrusion detection [21]. This step assumes that Eve, being a clever impersonator, wants to remain undetected; therefore, it remains outside the trusted zone.…”

Section: A Step 1: Distance-bounding Testmentioning

confidence: 99%

Impersonation Detection in Line-of-Sight Underwater Acoustic Sensor Networks

et al. 2018

View full text Add to dashboard Cite

This work considers a line-of-sight underwater acoustic sensor network (UWASN) consisting of M underwater sensor nodes randomly deployed according to uniform distribution within a vertical half-disc (the so-called trusted zone). The sensor nodes report their sensed data to a sink node on water surface on a shared underwater acoustic (UWA) reporting channel in a time-division multiple-access (TDMA) fashion, while an active-yet-invisible adversary (so-called Eve) is present in the close vicinity who aims to inject malicious data into the system by impersonating some Alice node. To this end, this work first considers an additive white Gaussian noise (AWGN) UWA channel, and proposes a novel, multiple-features based, two-step method at the sink node to thwart the potential impersonation attack by Eve. Specifically, the sink node exploits the noisy estimates of the distance, the angle of arrival, and the location of the transmit node as device fingerprints to carry out a number of binary hypothesis tests (for impersonation detection) as well as a number of maximum likelihood hypothesis tests (for transmitter identification when no impersonation is detected). We provide closed-form expressions for the error probabilities (i.e., the performance) of most of the hypothesis tests. We then consider the case of a UWA with colored noise and frequency-dependent pathloss, and derive a maximum-likelihood (ML) distance estimator as well as the corresponding Cramer-Rao bound (CRB). We then invoke the proposed two-step, impersonation detection framework by utilizing distance as the sole feature. Finally, we provide detailed simulation results for both AWGN UWA channel and the UWA channel with colored noise. Simulation results verify that the proposed scheme is indeed effective for a UWA channel with colored noise and frequency-dependent pathloss.

show abstract

Section: A Step 1: Distance-bounding Testmentioning

confidence: 99%

Impersonation Detection in Line-of-Sight Underwater Acoustic Sensor Networks

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Authors in [4] proposed an analytical tool which takes into account the pattern of trespassers' favorite paths to improve the crossborder detection quality of nodes before deployment. The work in [2] reviewed research works which used WSNs for border surveillance. It also identified the research challenges related to the security of WSNs in mission-critical applications.…”

Section: Introductionmentioning

confidence: 99%

Energy harvesting based protection of border surveillance systems

Ellouze

Rekhis

Boudriga

2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

View full text Add to dashboard Cite

Border surveillance is one of the famous mission critical applications of Wireless Sensor Networks (WSNs), whose aim is to monitor country borderlines, detect intruders, and track their trajectories. However, such an application can be threatened by specific types of security attacks affecting its availability, lifespan, and detection accuracy. In this paper, we propose a solution to secure border surveillance WSNs application. After identifying and describing the security attacks specific to such an application, we extend the sensor nodes architecture by introducing a Radio Frequency IDentification (RFID) system, and we design powerless protocols and techniques for mutual authentication and proximity verification between sensor nodes. A simulation is conducted to evaluate the efficiency of the proposed techniques in detecting the identified attacks.

show abstract

“…One of the hottest applications of WSN nowadays is in intrusion-detection system (IDS) [2] for border monitoring [3][4][5][6][7] to protect sensitive facilities or international borders as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Fuzzy Event-detection Algorithm for Border Monitoring on FPGA

Ahmed

El-Khatib

Adly

et al. 2015

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

The use of wireless sensor networks to protect sensitive facilities or international borders has recently attracted more and more attention. It has become a highpriority issue in many countries. In addition to the physical fences built for stopping illegal intruders from crossing the border, smart fencing has been proposed to extend intrusion-detection capabilities. Event detection is a central component in numerous wireless sensor network applications. In spite of this, the area of event description has not received enough attention. The majority of current event description approaches rely on using precise values to specify event thresholds. However, these crisp values cannot adequately handle the imprecise sensor readings. Therefore, in this paper, a hybrid event-detection algorithm based on two layers of 12-bit-resolution fuzzy logic system is used, which significantly improves the accuracy of event detection. Each sensor node has sensors to improve the precision of the detection system, as well as reducing the false alarm rate especially in a noisy environment. The proposed system was modeled using Matlab and designed using VHDL. The proposed system's VHDL code has been compared with the Matlab model, which provided very close results to this software-based controller model, and also with two other VHDL-based designs, results of which are also close and comparable to the proposed system. The proposed design is then implemented using a FPGA kit, and the prototype is connected to a graphical user interface. Finally, a testing experiment of this proposed system shows an event-detection ratio capability of 98.4 % and the false alarm ratio of 1.6 %.

show abstract

Advanced Border Intrusion Detection and Surveillance Using Wireless Sensor Network Technology

Cited by 62 publications

References 21 publications

Impersonation Detection in Line-of-Sight Underwater Acoustic Sensor Networks

Impersonation Detection in Line-of-Sight Underwater Acoustic Sensor Networks

Energy harvesting based protection of border surveillance systems

Design and Implementation of Fuzzy Event-detection Algorithm for Border Monitoring on FPGA

Contact Info

Product

Resources

About