A Survey on Enhancing Wire/Wireless Routing Protocol Using Machine Learning Algorithms

Yas, Ruwaida M; Hashem, Soukaena H.

doi:10.1088/1757-899x/870/1/012037

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…This is due to the importance of WSN in real life that are presented as solutions for a lot of problems, especially in emergencies and monitoring systems. The applications of WSN varied from architecture to oil production to system management to smart housing to traffic control to heath monitoring, and so on [38][39][40][41][42][43][44][45][46][47]. Security in WSN has become as trending point by researchers due of the high importance of the exchanging data and information.…”

Section: Wsn Applicationsmentioning

confidence: 99%

Systematic Review on Cyber-Security Applications

2022

IJCCCE

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Cybersecurity systems have been taken into account in modern information systems and methods. This is due to the increase in electronic attacks on storage information in terms of transmission, reception and storage. Therefore, the need to produce such systems in a complete way to prevent their penetration into the network has increased. In addition, artificial intelligence (AI) methods are used in cybersecurity systems as classifiers, attack detectors, and components for predicting threats that surround the network. This requires more information about threats and vulnerabilities to be covered to avoid any errors. In this paper, a systematic review is conducted to cover cybersecurity used in various applications, including systems based on wireless, cloud, and mobile sensor networks (WSN). The systematic review approach is adopted on a two-way basis to produce a clear view of the research work to date and to provide a field that can be used for future work. Index Terms— WSN, Cyber-Security, Cyber Applications, AI.

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Section: Wsn Applicationsmentioning

confidence: 99%

Systematic Review on Cyber-Security Applications

2022

IJCCCE

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“…For many years, the TSP has played the role of an initial proving ground for the new ideas that are associated with those two alternatives. Those new ideas make the TSP an optimal subject for the case study [23][24][25].…”

Section: Case Study: Travelling Salesman Problem (Tsp)mentioning

confidence: 99%

Development of an enhanced scatter search algorithm using discrete chaotic Arnold’s cat map

Rafash

Saeed

Talib

2021

EEJET

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Solving optimization problems is an ever-growing subject with an enormous number of algorithms. Examples of such algorithms are Scatter Search (SS) and genetic algorithms. Modifying and improving of algorithms can be done by adding diversity and guidance to them. Chaotic maps are quite sensitive to the initial point, which means even a very slight change in the value of the initial point would result in a dramatic change of the sequence produced by the chaotic map Arnold's Cat Map. Arnold's Cat Map is a chaotic map technique that provides long non-repetitive random-like sequences. Chaotic maps play an important role in improving evolutionary optimization algorithms and meta-heuristics by avoiding local optima and speeding up the convergence. This paper proposes an implementation of the scatter search algorithm with travelling salesman as a case study, then implements and compares the developed hyper Scatter Arnold's Cat Map Search (SACMS) method against the traditional Scatter Search Algorithm. SACMS is a hyper Scatter Search Algorithm with Arnold's Cat Map Chaotic Algorithm. Scatter Arnold's Cat Map Search shows promising results by decreasing the number of iterations required by the Scatter Search Algorithm to get an optimal solution(s). Travelling Salesman Problem, which is a popular and well-known optimization example, is implemented in this paper to demonstrate the results of the modified algorithm Scatter Arnold's Cat Map Search (SACMS). Implementation of both algorithms is done with the same parameters: population size, number of cities, maximum number of iterations, reference set size, etc. The results show improvement by the modified algorithm in terms of the number of iterations required by SS with an iteration reduction of 10–46 % and improvements in time to obtain solutions with 65 % time reduction

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“…What if by just travelling a few kilometers more, it could prevent a mishap? Even on the public forums as "Crowd form" [13] a demand for such a solution is registered. Google too has taken notice of the problem and has initiated extensive work in a feature called lightning layer [14] which aims at preventing the not so secure routes by pin-pointing the location of the streetlights.…”

Section: Introductionmentioning

confidence: 99%

Safest Route Detection via Danger Index Calculation and K-Means Clustering

Puthige¹,

Bansal²,

Bindra³

et al. 2021

Computers, Materials &Amp; Continua

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The study aims to formulate a solution for identifying the safest route between any two inputted Geographical locations. Using the New York City dataset, which provides us with location tagged crime statistics; we are implementing different clustering algorithms and analysed the results comparatively to discover the best-suited one. The results unveil the fact that the K-Means algorithm best suits for our needs and delivered the best results. Moreover, a comparative analysis has been performed among various clustering techniques to obtain best results. we compared all the achieved results and using the conclusions we have developed a user-friendly application to provide safe route to users. The successful implementation would hopefully aid us to curb the ever-increasing crime rates; as it aims to provide the user with a beforehand knowledge of the route they are about to take. A warning that the path is marked high on danger index would convey the basic hint for the user to decide which path to prefer. Thus, addressing a social problem which needs to be eradicated from our modern era.

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A Survey on Enhancing Wire/Wireless Routing Protocol Using Machine Learning Algorithms

Cited by 5 publications

References 14 publications

Systematic Review on Cyber-Security Applications

Systematic Review on Cyber-Security Applications

Development of an enhanced scatter search algorithm using discrete chaotic Arnold’s cat map

Safest Route Detection via Danger Index Calculation and K-Means Clustering

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