Security for wireless sensor networks in military operations

Gupta, Rajat; Sultania, Kaushal; Singh, Pallavi; Gupta, Archit

doi:10.1109/icccnt.2013.6726654

Cited by 17 publications

(11 citation statements)

References 6 publications

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“…The diverse kinds of keys are utilized in the encryption method. The various protocols suggested by a several researchers to solve the WSN security problem [31] such as SPINS, Tinysec, Minisec, LEAP, LEDS, Lightweight LCG, MiniSec, MASA, VEBEK of WSN). Related works of the researcher on this aspect: In [32] This work display the first secrecy and integrity of data that try to add security depend on watermarking and crypto graphical mechanisms to watermarking LEACH named enhanced proved watermarking-LEACH to fulfill data secrecy and integrity.…”

Section: Security Protocols In Wsnsmentioning

confidence: 99%

Study of environmentally sustainable security in wireless sensor networks

Hamza¹,

Al-Alak²

2019

PEN

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The popular technology Wireless sensor networks (WSNs) are used in many fields of the application such as the medical, the military, the industry, the agricultural, etc. In this paper, explains the security issues in the WSNs. Firstly explain the challenges of wireless sensor networks, the security requirements such as confidentiality, integrity, authenticity, data freshness, and availability and the attacks in the WSNs, the security issues are accomplished via these classes: [the encryption algorithms (symmetric, asymmetric, hybrid) , the security protocols such as (Tinysec, SPINS, LEDS, Minisec, LEAP, MASA, Lightweight LCG, MiniSec, VEBEK of WSN), the secure data aggregation, and the key management, etc.]. Also, this paper concentrates on the study researches that fulfill the high level of the security in the WSNs.

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Section: Security Protocols In Wsnsmentioning

confidence: 99%

Study of environmentally sustainable security in wireless sensor networks

Hamza¹,

Al-Alak²

2019

PEN

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“…The military's wireless sensor network is vulnerable to various kinds of attacks like node capturing, eavesdropping, and forging [28]. It needs the security mechanism in order to protect itself from the security threats.…”

Section: Securitymentioning

confidence: 99%

A survey in adaptive hybrid wireless Sensor Network for military operations

Pawgasame¹

2016

2016 Second Asian Conference on Defence Technology (ACDT)

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A Sensor Network is the primary source for acquiring information in today's military operations that require situation awareness (SA) of a battlefield. There are several types of sensor nodes, and each type of sensors has limited capability. The requirement for gathering and analyzing information about the field cannot be fulfilled by one type of sensor. Several sensors are needed to be networked and provide distributed sensing in such the way that the complete information about the field can be achieved. With current sensor and wireless technologies, a large number of heterogeneous sensor nodes can be rapidly deployed and wirelessly networked in a battlefield. These sensor nodes can perform distributed sensing tasks in collaborative and cooperative manner in order to extract features of the event in the field. Unlike any typical network, military wireless sensor network is operating under the harsh condition of a battlefield. Hence, the resources are constrained in terms of energy, bandwidth, and computing power, which limit the sensing capability of the wireless sensor network. In addition, a network is prone to attack by enemies. Such a network requires the selfadaptability that can cope with intermittent changes in a harsh environment. This paper presents a survey for adaptive hybrid wireless sensor networks in the military operations, which reviews their technologies, applications, constraints, architectures, and challenges.

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“…In recent decades, multi-sensor networks have been widely used in many fields [1][2][3][4][5], such as battlefield surveillance, traffic control, healthcare, and environment monitoring. As a typical application in battlefield surveillance, target tracking by multi-sensor networks has been a research hotspot in recent years, especially in modern network warfare.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor Optimization Scheduling for Target Tracking Based on PCRLB and a Novel Intercept Probability Factor

Pang

Duan

et al. 2019

Electronics

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In order to improve the survivability of active sensors, the problem of low probability of intercept (LPI) for a multi-sensor network system is studied in this paper. Two kinds of operational requirements are taken into account, the first of which is to ensure the survivability of sensors and the second is to improve the tracking accuracy of targets as much as possible. Firstly, the sensor tracking model and the posterior Carmér-Rao lower bound (PCRLB) of the target are presented to evaluate the sensor tracking benefits in next time. Then, a novel intercept probability factor (IPF) is proposed for multi-sensor multi-target tracking scenarios. At the basis of PCRLB and IPF, a myopic multi-sensor scheduling model for target tracking is set up to control the intercepted probability of sensors and improve the target tracking accuracy. At last, a fast solution algorithm based on an improved particle swarm optimization (PSO) algorithm is given to obtain the optimal scheduling actions. Simulation of experimental results show that the proposed model can effectively control the intercepted risk of every sensor, which can also obtain better target tracking performance than existing multi-sensor scheduling methods. of 22tracking accuracy, the survivability of sensor network should also be considered. It requires us to study new sensor scheduling methods considering both target tracking accuracy and battlefield survivability.Currently, there are four existing methods for active sensors to counter anti-radiation weapons: LPI waveform design technology [6][7][8], bistatic and distributed sensor technology [9,10], decoy and jamming technology [11], and sensor management technology [12][13][14]. Among them, the sensor management technology works through the cooperative work of multiple sensors. To realize the low intercepted probability of sensors, the key idea of sensor management technology is dynamically managing the existing sensor resources. It gives anti-radiation weapons difficulty in identifying the sensor or tracking the sensor for a long, continuous time. In this way, the anti-radiation weapon will not be able to position sensors or attack sensors further. This technology can reduce the intercepted probability of active sensors without increasing the hardware cost, which has become a research hotspot in this field. Reference [13] proposed a LPI controlling method based on Bhattacharyya distance and Jeffreys divergence, which can effectively control the intercepted risk of the whole radar network by reasonably allocating the radar working power. In [14], a low interception probability control method for multi-sensor networks based on mutual information entropy was presented. In [15,16], the radiation degree is used to quantify the intercepted risk of sensors. The radiation risk and the tracking accuracy are considered by information fusion method. However, combination of radiation risk and tracking precision is a single index. It is difficult to ensure that both of them can reach the ideal value. Secondly, the selection...

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Security for wireless sensor networks in military operations

Cited by 17 publications

References 6 publications

Study of environmentally sustainable security in wireless sensor networks

Study of environmentally sustainable security in wireless sensor networks

A survey in adaptive hybrid wireless Sensor Network for military operations

Multi-Sensor Optimization Scheduling for Target Tracking Based on PCRLB and a Novel Intercept Probability Factor

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