A cryptanalytic attack on the knapsack cryptosystem using binary Firefly algorithm

Palit, Supravo; Sinha, Saptarshi Neil; Molla, Mostafiz Amin; Khanra, Atreyee; Kule, Malay

doi:10.1109/iccct.2011.6075143

Cited by 72 publications

(30 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A Binary Firefly Algorithm (BFA) is used to solve discrete problems [34]. In this model, the position of each firefly is characterized by two values of 0 and 1 in each dimension.…”

Section: Binary Fierfly Algorithm (Bfa)mentioning

confidence: 99%

An Artificial Predictive Modeling Framework for Automatically Detecting Problematic Use of Internet

Hassani¹,

Pakzad²,

Asghari³

2018

IJCA

View full text Add to dashboard Cite

The Internet is one of the most influential new communications technologies that have been affected both social and health aspects of users' lives. Despite many advantages and its positive pointes in communication, the excessive use of Internet make a serious danger that has adverse impacts on overall health. The inability of individuals to control the Internet use has been defined as Internet Addiction (IA). There are a lot of studies on IA over the topics of diagnosis, phenomenology, epidemiology, and treatment based on statistical analysis, but a few research works are conducted by machine learning techniques. So our research focuses on diagnosing and counseling to prevent IA by developing prediction models based on ensemble method with machine learning algorithms and finding the most important risk factors in diagnosing the status of users' IA. Experiment results demonstrate that this hybrid machine learning model by considering students field and location along with items 1, 3, 4, 5,10,12,14,15,19,20 from Internet Addiction Test (IAT) as the most important risk factors can identify the status of users' IA with 99.75% accuracy attains a performance superior to traditional single classifier systems.

show abstract

“…A Binary Firefly Algorithm (BFA) is used to solve discrete problems [34]. In this model, the position of each firefly is characterized by two values of 0 and 1 in each dimension.…”

Section: Binary Fierfly Algorithm (Bfa)mentioning

confidence: 99%

An Artificial Predictive Modeling Framework for Automatically Detecting Problematic Use of Internet

Hassani¹,

Pakzad²,

Asghari³

2018

IJCA

View full text Add to dashboard Cite

show abstract

“…B 0 bir ateşböceğinin diğer komşu ateşböceğine aradaki mesafe r=0 olduğundaki çekicilik miktarıdır. B(r) ise B0 çekiciliğe sahip ateşböceğinin r mesafedeki çekicilik miktarıdır [32]. …”

Section: Ateşböceği̇ Opti̇mi̇zasyon Algori̇tmasi (Firefly Optimization Alunclassified

Değiştirilmiş ateşböceği optimizasyon algoritması ile kural tabanlı çoklu sınıflama yapılması

Aydilek¹

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

View full text Add to dashboard Cite

show abstract

“…An improved firefly and particle swarm optimization hybrid algorithm was applied to the unit commitment problem [38]. A cryptanalytic attack on the knapsack cryptosystem was approached using the binary firefly algorithm [42]. The network and reliability constrained unit commitment problem was solved using a binary real coded firefly algorithm [43].…”

Section: Binarization Methodsmentioning

confidence: 99%

A Binary Cuckoo Search Big Data Algorithm Applied to Large‐Scale Crew Scheduling Problems

et al. 2018

View full text Add to dashboard Cite

The progress of metaheuristic techniques, big data, and the Internet of things generates opportunities to performance improvements in complex industrial systems. This article explores the application of Big Data techniques in the implementation of metaheuristic algorithms with the purpose of applying it to decision-making in industrial processes. This exploration intends to evaluate the quality of the results and convergence times of the algorithm under different conditions in the number of solutions and the processing capacity. Under what conditions can we obtain acceptable results in an adequate number of iterations? In this article, we propose a cuckoo search binary algorithm using the MapReduce programming paradigm implemented in the Apache Spark tool. The algorithm is applied to different instances of the crew scheduling problem. The experiments show that the conditions for obtaining suitable results and iterations are specific to each problem and are not always satisfactory.

show abstract

A cryptanalytic attack on the knapsack cryptosystem using binary Firefly algorithm

Cited by 72 publications

References 4 publications

An Artificial Predictive Modeling Framework for Automatically Detecting Problematic Use of Internet

An Artificial Predictive Modeling Framework for Automatically Detecting Problematic Use of Internet

Değiştirilmiş ateşböceği optimizasyon algoritması ile kural tabanlı çoklu sınıflama yapılması

A Binary Cuckoo Search Big Data Algorithm Applied to Large‐Scale Crew Scheduling Problems

Contact Info

Product

Resources

About