Research on Collision-free High-efficiency Pseudo-random Sequence Generation Algorithm

Author(s):  
Hanyue Liu ◽  
Chunsheng Zhang
Author(s):  
S.E. Nyssanbayeva ◽  
◽  
N.A. Kapalova ◽  
A. Haumen

Cryptographic technologies that have become widespread in the world are inex- tricably linked to the issues of secure storage, use of keys, and key exchange. Often, insecure key management reduces the quality of even exceptionally good systems, since the security of the algorithm is concentrated mainly in the key. This paper proposes a key management model in cryptographic systems. The model is based on creating a unified key database for all users. This database is filled with keys of a certain length, which are generated using a pseudo-random sequence generation algorithm.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ognjen Barcot ◽  
Matija Boric ◽  
Tina Poklepovic Pericic ◽  
Marija Cavar ◽  
Svjetlana Dosenovic ◽  
...  

Author(s):  
Bo Liu ◽  
Jiandong Liu ◽  
Shuhong Wang ◽  
Ming Zhong ◽  
Bo Li ◽  
...  

A selective encryption algorithm is proposed to improve the efficiency of high efficiency video coding (HEVC) video encryption and ensure the security of HEVC videos. The algorithm adopts the integer dynamic coupling tent mapping optimization model as the pseudo-random sequence generator, and multi-core parallelization is used as the sequence generation mechanism. The binstrings during the process of context adaptive binary arithmetic coding are selected for encryption, which conforms to the features of invariable binstream and compatible format in terms of video encryption. Performance tests for six types of standard videos with different resolutions were performed. The results indicated that the encryption algorithm has a large key space and benefits from a high encryption effect.


2018 ◽  
Author(s):  
Ognjen Barcot ◽  
Matija Boric ◽  
Tina Poklepovic Pericic ◽  
Marija Cavar ◽  
Svjetlana Dosenovic ◽  
...  

AbstractBackgroundPurpose of this study was to analyze adequacy of judgments about risk of bias (RoB) for random sequence generation in Cochrane systematic reviews (CSRs) of randomized controlled trials (RCTs).MethodsInformation was extracted from RoB tables of CSRs using automated data scraping. We categorized all comments provided as supports for judgments for RoB related to randomization. We analyzed number and type of various supporting comments and assessed adequacy of RoB judgment for randomization in line with recommendations from the Cochrane Handbook.ResultsWe analyzed 10527 RCTs that were included in 729 CSRs. For 5682 RCTs randomization was not described; for the others it was indicated randomization was done using computer/software/internet (N=2886), random number table (N=888), mechanic method (N=366), or it was incomplete/inappropriate (N=303).Overall, 1194/10125 trials (12%) had erroneous RoB judgment about randomization. The highest proportion of errors was found for trials with high RoB (28%), followed by those with low (19%), or unclear (3%). Therefore, one in eight judgments for the analyzed domain in CSRs was erroneous, and one in three if the judgment was “high risk”.ConclusionCochrane systematic reviews cannot be necessarily trusted when it comes to judgments for risk of bias related to randomized sequence generation.


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