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108 results for “Random Network”
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Research ArticleOpen accessEvery word in the titleRandom Forests for Online Intrusion Detection in Computer NetworksHeitor Scalco Neto, Wilian Soares Lacerda, Rafael Verão FrançozoThis study proposes a methodology to build an Online Network Intrusion Detection System by using the Computational Intelligence technique called Random Forests and an API to preprocess the network packets. The experiments were carried out from two network traffic databases: The ISCX (i); and a test database (ii) created with the proposed API in our own network environment. The results … …Journal of Computer Science, Vol. 17, Issue 10 · 19 Oct 2021 · 6,955 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDENIAL OF SERVICE ATTACK IN DISTRIBUTED WIRELESS NETWORK BY DISTRIBUTED JAMMER NETWORK: A BIRTH-DEATH RANDOM PROCESS ANALYSISR. Dhanasekaran, G. SingaravelLarge number of low power, tiny radio jammers are constituting a Distributed Jammer Network (DJN) is used nowadays to cause a Denial of Service (DoS) attack on a Distributed Wireless Network (DWN). Using NANO technologies, it is possible to build huge number of tiny jammers in millions, if not more. The Denial of Service (DoS) attacks in Distributed Wireless Network … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,802 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandom Dummy Packet Distribution Approach for Detection of Routing Misbehavior in Mobile Ad Hoc NetworkT. Sakthivel, R. M. Chandrasekaran, S. Vijay BhanuA Mobile Ad hoc Network (MANET) works on the assumption that mobile nodes are cooperative. On the other hand, in practical, it may not be possible due to selfish, malicious and misbehaving nodes present in the network. These nodes are capable of interrupting the communication process and there is a potential for serious performance degradation. To improve the performance of … …Journal of Computer Science, Vol. 8, Issue 11 · 6 Nov 2012 · 6,974 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe use of Random Forest Classification and K-means Clustering Algorithm for Detecting Time Stamped Signatures in the Active NetworksKamalanaban Ethala, R. Shesadri, N. G. RenganathanIn day to day information security infrastructure, intrusion detection is indispensible. Signature based intrusion detection system mechanisms are often available in detecting many types of attacks. But this mechanism alone is not sufficient in many cases. Another intrusion detection method viz K-means is employed for clustering and classifying the unlabelled data. IDS is a special embedded device or relied software … …Journal of Computer Science, Vol. 9, Issue 7 · 18 Jun 2013 · 7,496 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePriority and Random Selection for Dynamic Window Secured Implicit Geographic Routing in Wireless Sensor NetworkZurina Mohd Hanapi, Mahmod Ismail, Kasmiran JumariProblem statement: Sensor nodes are easily exposed to many attacks since it were deployed in unattended adversarial environment with no global addressing and used for critical applications such as battlefield surveillance and emergency response. While the sensor also needs to act as a router to relay a message to a required recipient, then this increased the vulnerabilities to a network … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,652 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Comparison of Two On-demand Routing Protocols for Ad-hoc Networks based on Random Way Point Mobility ModelGeetha Jayakumar, G. GopinathAd hoc networks are characterized by multihop wireless connectivity, frequently changing network topology and the need for efficient dynamic routing protocols plays an important role. We compare the performance of two prominent on-demand routing protocols for mobile ad hoc networks: Dynamic Source Routing (DSR), Ad Hoc On-demand distance Vector Routing (AODV). A detailed simulation model with MAC and physical layer … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,692 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRandom Graph Generation Based p-Method and Box Method for the Evaluation of Power-Aware Routing Protocols of Ad hoc NetworksSaleh H. Al-SharaehThe objective of this paper is to investigate the best solution such that on which decision should be made to forward a wireless packet. The decision should be made in such a way to keep the node alive by choosing an alternate path, through those nodes that have more power reserve. Minimizing the consumption of the reserve power will results … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,762 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCardiovascular Disease Prediction using Various Machine Learning AlgorithmsDebabrata Swain, Badal Parmar, Hansal Shah et al.Almostone-third of all deaths caused around the world were caused due tocardiovascular diseases. Even if death was not the result, much cost isincurred during the treatment of such diseases. But much of these deaths andtreatments could have been prevented with prior action. Advance knowledge ofthe symptoms and consequently proper care can lead us to avoid such diseases.Thus, current research proposes … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 9,394 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,234 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLarge Deviation, Basic Information Theory for Wireless Sensor NetworksKwabena Doku-AmponsahIn this research paper, we establish Shannon-McMillan-Breiman Theorem for Wireless Sensor Networks modelled as Coloured Geometric Random Networks. For, large n we show that a Wireless Sensor Network consisting of n sensors in [0; 1]d linked by an expected number of edges of order n log n can be transmitted by approximately [n(log n)2 πd/2/(d/2)!] H bits, where H is … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 20 Oct 2017 · 7,117 accessesView PDFCite