Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Physical‐layer intrusion detection system for smart jamming attacks

View through CrossRef
AbstractIn modern electronic warfare, physical‐layer security threats have evolved from traditional jammers to smart jammers. Smart jammers, due to their stealthy nature, make wireless communication systems vulnerable. They can easily deceive a detection system. In this paper, a physical‐layer intrusion detection system (PLIDS) for direct‐sequence spread‐spectrum systems is developed against smart jammers, which is efficient due to its high detection rates, usability, and accuracy. Smart jamming noise is modeled as wide‐sense stationary, additive, and colored. This random process is decomposed into a series expansion of independent and uncorrelated random variables. The decomposition helps in designing a signal processing algorithm for PLIDS. The algorithm is easily implemented via correlators. PLIDS is evaluated using a simulated electronic warfare environment, and its performance is measured in terms of detection capability, precision, and accuracy. It performs error‐free detection by adjusting its tuning parameter. Moreover, different performance tradeoffs are observed for different values of the tuning parameter. Finally, comparisons of PLIDS are done with competitive intrusion detection systems.
Title: Physical‐layer intrusion detection system for smart jamming attacks
Description:
AbstractIn modern electronic warfare, physical‐layer security threats have evolved from traditional jammers to smart jammers.
Smart jammers, due to their stealthy nature, make wireless communication systems vulnerable.
They can easily deceive a detection system.
In this paper, a physical‐layer intrusion detection system (PLIDS) for direct‐sequence spread‐spectrum systems is developed against smart jammers, which is efficient due to its high detection rates, usability, and accuracy.
Smart jamming noise is modeled as wide‐sense stationary, additive, and colored.
This random process is decomposed into a series expansion of independent and uncorrelated random variables.
The decomposition helps in designing a signal processing algorithm for PLIDS.
The algorithm is easily implemented via correlators.
PLIDS is evaluated using a simulated electronic warfare environment, and its performance is measured in terms of detection capability, precision, and accuracy.
It performs error‐free detection by adjusting its tuning parameter.
Moreover, different performance tradeoffs are observed for different values of the tuning parameter.
Finally, comparisons of PLIDS are done with competitive intrusion detection systems.

Related Results

Cooperative Jamming Resource Allocation with Joint Multi-Domain Information Using Evolutionary Reinforcement Learning
Cooperative Jamming Resource Allocation with Joint Multi-Domain Information Using Evolutionary Reinforcement Learning
Addressing the formidable challenges posed by multiple jammers jamming multiple radars, which arise from spatial discretization, many degrees of freedom, numerous model input param...
Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach
Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach
Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming ...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Analysis of a Fuzzy Based Intrusion Detection System in Wireless Ad Hoc Networks
Analysis of a Fuzzy Based Intrusion Detection System in Wireless Ad Hoc Networks
Technology and its growth is considerably enormous. This massive growth allows the opening of new fields of application in the domain of wireless networking and mobile ad-hoc netwo...
A SURVEY ON JAMMING AND FRIENDLY JAMMING TECHNIQUES
A SURVEY ON JAMMING AND FRIENDLY JAMMING TECHNIQUES
Wireless communication is the most growing area in the field of communications and wireless networks as their key components become increasingly important in our life. Despite the ...
Development and application of biological intelligence technology in computer
Development and application of biological intelligence technology in computer
To study the development and application of biological intelligence technology in computers and realize high-precision network anomaly detection, a distributed intrusion detection ...
Survey on cognitive anti‐jamming communications
Survey on cognitive anti‐jamming communications
In this study, the authors review various jamming and anti‐jamming strategies in the context of cognitive radios (CRs). The study explores different jamming models and classifies t...
Detectability of an intermediate layer by magnetotelluric sounding
Detectability of an intermediate layer by magnetotelluric sounding
Abstract The recent publication by Verma and Mallick (1979) on the detectability of an intermediate layer by time domain EM sounding provides some informative ans...

Back to Top