DAP: Efficient Detection Against Probabilistic Cloning Attacks in Anonymous RFID Systems

2021 ◽  
pp. 1-1
Author(s):  
Honglong Chen ◽  
Xin Ai ◽  
Kai Lin ◽  
Na Yan ◽  
Zhibo Wang ◽  
...  
Keyword(s):  
Rfid Systems ◽  
Efficient Detection

Efficient detection of missing tags for passive RFID systems

2016 ◽  
Vol 29 (9) ◽  
pp. 1545-1567 ◽  
Author(s):  
Leonardo Sanchez ◽  
Victor Ramos ◽  
Oscar Ledesma
Keyword(s):  
Rfid Systems ◽  
Efficient Detection ◽  
Passive Rfid

Efficient Detection of Suspected areas in Mammographic Breast Cancer Images

2015 ◽  
Vol 1 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Bhagwati Charan Patel ◽  
◽  
Dr.G.R. Sinha ◽  
Keyword(s):  
Breast Cancer ◽  
Efficient Detection

scholarly journals Online Judging Platform Utilizing Dynamic Plagiarism Detection Facilities

Computers ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 47
Author(s):  
Fariha Iffath ◽  
A. S. M. Kayes ◽  
Md. Tahsin Rahman ◽  
Jannatul Ferdows ◽  
Mohammad Shamsul Arefin ◽  
...  
Keyword(s):  
Source Code ◽  
Large Data ◽  
Large Data Sets ◽  
Detection Technique ◽  
Data Sets ◽  
Plagiarism Detection ◽  
Source Codes ◽  
Efficient Detection ◽  
Mathematical Problems ◽  
Automatic Scoring

A programming contest generally involves the host presenting a set of logical and mathematical problems to the contestants. The contestants are required to write computer programs that are capable of solving these problems. An online judge system is used to automate the judging procedure of the programs that are submitted by the users. Online judges are systems designed for the reliable evaluation of the source codes submitted by the users. Traditional online judging platforms are not ideally suitable for programming labs, as they do not support partial scoring and efficient detection of plagiarized codes. When considering this fact, in this paper, we present an online judging framework that is capable of automatic scoring of codes by detecting plagiarized contents and the level of accuracy of codes efficiently. Our system performs the detection of plagiarism by detecting fingerprints of programs and using the fingerprints to compare them instead of using the whole file. We used winnowing to select fingerprints among k-gram hash values of a source code, which was generated by the Rabin–Karp Algorithm. The proposed system is compared with the existing online judging platforms to show the superiority in terms of time efficiency, correctness, and feature availability. In addition, we evaluated our system by using large data sets and comparing the run time with MOSS, which is the widely used plagiarism detection technique.

Sign in / Sign up

Export Citation Format

Share Document