scholarly journals SPCACF: Secured Privacy-Conserving Authentication Scheme using Cuckoo Filter in VANET

2020 ◽  
Vol 21 (1) ◽  
pp. 101-105
Author(s):  
A Rengarajan ◽  
M Mohammed Thaha

Providing security for vehicular communication is essential since the network is vulnerable to severe attacks.The message authentication between vehicles and pavement units are essential for the purpose of security. Messages that passed between the vehicles should be encrypted and verified before the vehicle nodes could be trusted. The original identity of nodes can only be traceable by authorized parties and should not be exposed at any cause. However authentication between vehicles during message transformation does not guarantees message authentication rate accurately. To address these issues, the SPCACF scheme is proposed which is based on software devoid of relying on any particular hardware. Binary search algorithm is added in partial with Cuckoo Filter to achieve higher accomplishment than the preceding schemes in the batch wise verification phase. In order to guarantee that it can assure message authentication constraint, existential enforceability of underlying signature against adaptively chosen-message attack is proved under the positive filter pool method.

2020 ◽  
Vol 16 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Israa AL-Forati ◽  
Abdulmuttalib Rashid

This paper proposes a low-cost Light Emitting Diodes (LED) system with a novel arrangement that allows an indoor multi-robot localization. The proposed system uses only a matrix of low-cost LED installed uniformly on the ground of an environment and low-cost Light Dependent Resistor (LDR), each equipped on bottom of the robot for detection. The matrix of LEDs which are driven by a modified binary search algorithm are used as active beacons. The robot localizes itself based on the signals it receives from a group of neighbor LEDs. The minimum bounded circle algorithm is used to draw a virtual circle from the information collected from the neighbor LEDs and the center of this circle represents the robot’s location. The propose system is practically implemented on an environment with (16*16) matrix of LEDs. The experimental results show good performance in the localization process.


2011 ◽  
Vol 181-182 ◽  
pp. 109-112
Author(s):  
Xian Min Wei

This paper describes several current routing lookup algorithms, to study and analysize the complexity and operating practical performance of these routing lookup algorithms. The results show that although the binary search algorithm is not greatly improved in the searching performance, but in IPv6 environment, because searching performance of multi-branch Trie tree will decrease greatly, thus the superiority of binary search algorithm will be reflected better.


2017 ◽  
Vol 10 (2) ◽  
pp. 52
Author(s):  
Natarajan Meghanathan

Results of correlation study (using Pearson's correlation coefficient, PCC) between decay centrality (DEC) vs. degree centrality (DEG) and closeness centrality (CLC) for a suite of 48 real-world networks indicate an interesting trend: PCC(DEC, DEG) decreases with increase in the decay parameter δ (0 < δ < 1) and PCC(DEC, CLC) decreases with decrease in δ. We make use of this trend of monotonic decrease in the PCC values (from both sides of the δ-search space) and propose a binary search algorithm that (given a threshold value r for the PCC) could be used to identify a value of δ (if one exists, we say there exists a positive δ-spacer) for a real-world network such that PCC(DEC, DEG) ≥ r as well as PCC(DEC, CLC) ≥ r. We show the use of the binary search algorithm to find the maximum Threshold PCC value rmax (such that δ-spacermax is positive) for a real-world network. We observe a very strong correlation between rmax and PCC(DEG, CLC) as well as observe real-world networks with a larger variation in node degree to more likely have a lower rmax value and vice-versa.


2020 ◽  
Vol 69 (5) ◽  
pp. 4968-4978 ◽  
Author(s):  
Xiaodong Sun ◽  
Changchang Hu ◽  
Gang Lei ◽  
Zebin Yang ◽  
Youguang Guo ◽  
...  

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