Cooperative Group Key Generation Using IR-UWB Multipath Channels

Tunaru, Iulia; Denis, B.; Perrier, Regis; Uguen, Bernard

doi:10.1109/icuwb.2015.7324430

Cited by 5 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The trials show that all the phishing pages (100%) can be simply worked to avoid the discovery of GPPF. Our learning establishes that the surviving client-side classifiers are identical exposed to classifiers cracking attacks [14].…”

Section: Related Workmentioning

confidence: 84%

Evaluating Phishing Website Detection On Client Side

Prabu,

Sumathi

2019

IJEAT

View full text Add to dashboard Cite

In a web based application phishing attack plays a vital role. To find a solution for this problem, lots of work is carried out over a year, but still now no solution is find out for this problem. The existing solution, suffers from a few drawbacks such as to count potential to compromise consumer privacy. That is the reason for difficulty of detecting phishing attacks in the websites. In addition to this problem, the website content is changed dynamically, and confidence depends on the features of specific provisions of data. To solve these issues, a new direction for the detection of phishing attacks in web-pages is approached here. The proposed system, inherent the phishing limits starting from the constraints they faced while built a web-page. subsequently the implementation of our approach includes, off-the-hook- focused on extraordinary precision and brand-independence and semantic individuality. Here the off-the-hook is constructed from the fully-client-side browser add-on, which describes the user privacy. Additionally, off-the-hook focused on the target website and the phishing webpage is attempting to imitate and comprises this objective with warning. The proposed method is evaluated our genetic algorithm in below user studies.

show abstract

Section: Related Workmentioning

confidence: 84%

Evaluating Phishing Website Detection On Client Side

Prabu,

Sumathi

2019

IJEAT

View full text Add to dashboard Cite

show abstract

“…Similarly, for outdoor scenario with mobility, KDR is 0.12 and indoor scenario with mobility, KDR is 0.08. For a network size of 10, for static scenario a PCC of ~0.85 is obtained and for mobile, ~0.95 is obtained.Tunaru 38 , et. al.…”

Section: Group Secret Key Generationmentioning

confidence: 99%

Secret Key Generation Schemes for Physical Layer Security

Ramanathan

Jayakumar

et al. 2021

Def. Sc. J.

View full text Add to dashboard Cite

Physical layer security (PLS) has evolved to be a pivotal technique in ensuring secure wireless communication. This paper presents a comprehensive analysis of the recent developments in physical layer secret key generation (PLSKG). The principle, procedure, techniques and performance metricesare investigated for PLSKG between a pair of users (PSKG) and for a group of users (GSKG). In this paper, a detailed comparison of the various parameters and techniques employed in different stages of key generation such as, channel probing, quantisation, encoding, information reconciliation (IR) and privacy amplification (PA) are provided. Apart from this, a comparison of bit disagreement rate, bit generation rate and approximate entropy is also presented. The work identifies PSKG and GSKG schemes which are practically realizable and also provides a discussion on the test bed employed for realising various PLSKG schemes. Moreover, a discussion on the research challenges in the area of PLSKG is also provided for future research.

show abstract

“…It has been brought to our knowledge that ideas similar to our whispering concept have been studied before [25] or in parallel [26] to our initial work [9] [10]. In a sense, channel whispering is more general than the aforementioned studies because they deal with the RSS metric [25] or narrow-band frequencyflat fading channels [26] for which the whispering is equivalent to subtraction and quotient operations respectively.…”

Section: Contributions and Limitationsmentioning

confidence: 99%

“…• a cooperative protocol to generate a secret group key within the source model of the paradigm of physical layer key generation [9] [10]; • the evaluation of several temporal deconvolution solutions required for the application of the cooperative protocol to the IR-UWB physical layer (one of the most challenging for the cooperative key generation purpose), thus assessing the feasibility and the robustness of the solution; • a signal model for EM-based deconvolution that can be extended to include a channel estimation error model; • a complete comparison of the proposed group key generation protocol to an alternative approach based on group key distribution. This comparison extends the previous results [9] by adding a general traffic analysis for an arbitrary number of nodes in the network, emphasizing thus the scalability aspects. b) Limitations: The present work focuses on the signal-processing aspects of the achievement of common randomness in IR-UWB mesh networks.…”

Section: Contributions and Limitationsmentioning

confidence: 99%

Channel Whispering: a Protocol for Physical Layer Group Key Generation. Application to IR-UWB through Deconvolution

Tunaru,

Denis,

Perrier

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

As wireless ad hoc and mobile networks are emerging and the transferred data become more sensitive, information security measures should make use of all the available contextual resources to secure information flows. The physical layer security framework provides models, algorithms, and proofs of concept for generating pairwise symmetric keys over single links between two nodes within communication range. In this study, we focus on cooperative group key generation over multiple Impulse Radio -Ultra Wideband (IR-UWB) channels according to the source model. The main idea, proposed in previous work, consists in generating receiver-specific signals, also called s-signals, so that only the intended receiver has access to the non-observable channels corresponding to its non-adjacent links. Herein, we complete the analysis of the proposed protocol and investigate several signal processing algorithms to generate the s-signal expressed as a solution to a deconvolution problem in the case of IR-UWB. Our findings indicate that it is compulsory to add a parameterizable constraint to the searched s-signal and that the Expectation-Maximization algorithm can provide a stable self-parameterizable solution. Compared to physical layer key distribution methods, the proposed key generation protocol requires less traffic overhead for small cooperative groups while being robust at medium and high signal-to-noise ratios.

show abstract

Cooperative Group Key Generation Using IR-UWB Multipath Channels

Cited by 5 publications

References 12 publications

Evaluating Phishing Website Detection On Client Side

Evaluating Phishing Website Detection On Client Side

Secret Key Generation Schemes for Physical Layer Security

Channel Whispering: a Protocol for Physical Layer Group Key Generation. Application to IR-UWB through Deconvolution

Contact Info

Product

Resources

About