Adaptive jammer localization in wireless networks

Wang, Tongxiang; Wei, Xianglin; Jiang, Fan; Liang, Tao

doi:10.1016/j.comnet.2018.05.002

Cited by 21 publications

(7 citation statements)

References 13 publications

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“…Several classes of jammers have been proposed in the scientific literature throughout the last years [87]. Jammers can be constant [88], random [89], deceptive [90], reactive [91], [92], spot [93], sweep [94] and barrage [95], to name a few. The effectiveness of a jammer strictly depends on the communication parameters [96] set by both the transmitter and the receiver [97].…”

Section: Anti-jamming Strategiesmentioning

confidence: 99%

Satellite-Based Communications Security: A Survey of Threats, Solutions, and Research Challenges

Tedeschi¹,

Sciancalepore²,

Pietro³

2021

Preprint

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Satellite-based Communication (SATCOM) systems are gaining renewed momentum in Industry and Academia, thanks to innovative services introduced by leading tech companies and the promising impact they can deliver towards the global connectivity objective tackled by early 6G initiatives. On the one hand, the emergence of new manufacturing processes and radio technologies promises to reduce service costs while guaranteeing outstanding communication latency, available bandwidth, flexibility, and coverage range. On the other hand, cybersecurity techniques and solutions applied in SATCOM links should be updated to reflect the enormous advancements in attacker capabilities characterizing the last two decades. However, business urgency and opportunities are leading operators towards challenging system trade-offs, leading to an increased attack surface and a general relaxation of the available security services.This paper tackles the cited problems and presents a comprehensive survey on the security threats, solutions, and challenges faced when deploying and operating SATCOM systems. Specifically, we classify the literature on security for SATCOM systems into two main branches, i.e., physical-layer security and cryptography schemes. Then, we further identify specific research domains for each of the identified branches, focusing on dedicated security issues, including, e.g., physical-layer confidentiality, antijamming schemes, anti-spoofing strategies, and quantum-based key distribution schemes. For each of the above domains, we highlight the most essential techniques, peculiarities, advantages, disadvantages, lessons learned, and future directions. Finally, we also identify emerging research topics whose additional investigation by Academia and Industry could further attract researchers and investors, ultimately unleashing the potential behind ubiquitous satellite communications.

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Section: Anti-jamming Strategiesmentioning

confidence: 99%

Satellite-Based Communications Security: A Survey of Threats, Solutions, and Research Challenges

Tedeschi¹,

Sciancalepore²,

Pietro³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Further, authors in [27] leverages the Time-of-Arrival (ToA), Angle-of-Arrival (AoA), and the RSS to compute the distances (between the jammer and the node(s)) and retrieve the jammer position in a wireless cooperative network. Other solutions (for omnidirectional and directive jammer localization) such as Centroid Localisation (CL), Virtual Force Iteration Localization (VFIL) and Adaptive Jammer Localisation Algorithm (AJLA) can be used to locate the jammer position [28]. The CL is an algorithm that computes the geometric center of the jammer, by averaging the estimated distances between the jammed nodes and the jammer; the VFIL is an improvement of the CL algorithm that aims to estimate the transmission range of the jammer and finally provide the region where the jammer could be located; the AJLA is an optimized algorithm that adopts CL or VFIL if the detected antenna is omnidirectional, while it adopts the Improved Gravitational Search Algorithm (IGSA) when the detected antenna is directional.…”

Section: ) Jammer Localisationmentioning

confidence: 99%

Leveraging Jamming to Help Drones Complete Their Mission

2020

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We propose JAM-ME, an autonomous jamming-assisted navigation system that allows a drone to accomplish its mission even in the presence of an anti-drone jamming protection system. In this contribution, we review the current state-of-the-art highlighting how current solutions to respond to drones are completely ineffective against JAM-ME. In particular, we introduce our solution and its theoretical framework, and later we relax a few constraints of the baseline model (adding wind drift, and allowing the target to be randomly placed within the jammed area). Moreover, we run extensive simulations that do support our findings: even under the combined action of jamming and wind drift, the drone can reach a target randomly deployed in the jamming area-any other drone, under the same conditions, would have simply failed. As per the overhead, under very conservative assumptions, JAM-ME experiences an average overhead of 70%; however, note that such overhead can be reduced by at least a tenfold factor in practical settings-discussed in the paper. Finally, we highlight the intrinsic limitations of our solution, potential countermeasures, and new jamming strategies that can pave the way to further research.

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“…In computational geometry, the centroid of a polygon can be obtained by calculating the average coordinate of the vertices. Suppose that the position vector of a polygon with N edges satisfies the following equation, that is, p i � (x i , y i ) T , then the coordinate (X est , Y est ) of its centroid [17,18] is expressed as shown below:…”

Section: Half-measure Weighted Centroid Localization Algorithmmentioning

confidence: 99%

A New Distance Vector-Hop Localization Algorithm Based on Half-Measure Weighted Centroid

Yin¹

2019

Mobile Information Systems

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Considering the defects of the Distance Vector-Hop (DV-Hop) localization algorithm making errors and having error accumulation in wireless sensor network (WSN), we proposed a new DV-Hop localization algorithm based on half-measure weighted centroid. This algorithm followed the two-dimensional position distribution, designed the minimum communication radius, and formed a reasonable network connectivity firstly. Then, the algorithm corrected the distance between the beacon node and its neighbour node to form a more accurate jump distance so that the shortest path can be optimized. Finally, we theorized the proposed localization algorithm and verified it in simulation experiments, including same communication radius, different communication radii, and different node densities in same communication radius, and have compared the localization error and localization accuracy, respectively, between the proposed algorithm and the DV-Hop localization algorithm. The experiment’s result shows that the proposed localization algorithm have reduced the localization’s average error and improved the localization’s accuracy.

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Adaptive jammer localization in wireless networks

Cited by 21 publications

References 13 publications

Satellite-Based Communications Security: A Survey of Threats, Solutions, and Research Challenges

Satellite-Based Communications Security: A Survey of Threats, Solutions, and Research Challenges

Leveraging Jamming to Help Drones Complete Their Mission

A New Distance Vector-Hop Localization Algorithm Based on Half-Measure Weighted Centroid

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