random early detection (RED)
Analysis of Detection Mechanism of Low Rate DDoS Attack Using Robust Random Early Detection Algorithm
... The most important characteristics of the Low Rate DDoS (distributed denial of service) attack is that it doesn’t send a high rate of attack packets over traffic streams, but it is sent on a short period of time for low ...
5
Performance Evaluation Of DropTail and Random Early Detection
... as Random Early Detection (RED) will reduce the problem of global synchronization and lock out , as well as keeping queue sizes down in the face of heavy load and bursty ...
7
Enhancing network performance using random early detection in virtual queue
... Random early detection (RED) is a adaptive queue management mechanism are used, so that RED provide adaptability of queue according to data sends by sender and minimized the data drop from the ...
6
Improved Congestion Control using Modified Red Algorithm over Manet
... “random early detection”, “random early discard”, “random early ...congestion early and reduce packet drop and increase network ...congestion early so that ...
5
Vol 12, No 1 (2020)
... with Random Early Detection (RED), Control Delay (CoDel), Proportional Integral controller Enhanced (PIE), Explicit Non-Congestion Notification (ENCN), TCP-Jersey and E-DCTCP schemes in a daisy-chain ...
8
A Review on an Access Point-Based FEC Mechanism for Video Transmission over Wireless LANs
... Enhanced Random Early Detection Forward Error Correction (ERED-FEC) mechanism is implemented to improve the quality of video transmissions over Wireless Local Area Networks ...
5
An Access Point-Based FEC Mechanism for Video Transmission over Wireless LANs
... Enhanced Random Early Detection Forward Error Correction (ERED-FEC) mechanism is implemented to improve the quality of video transmissions over Wireless Local Area Networks ...
6
Random Forest Algorithm in Intrusion Detection System : A Survey
... intrusion detection system. Among them the network intrusion detection system is most ...anomaly detection. KDD’99 dataset was used. Misuse detection part is handled by the random ...
6
Article Description
... The objective of an intrusion detection system is to provide data security and ensure continuity of services provided by a network [3]. Present networks provide critical services which are necessary for businesses ...
9
Comparative Analysis of Drop Tail, Red and NLRED Congestion Control Algorithms Using NS2 Simulator
... (DT), Early Random Drop (ERD) and Multithreshold Adaptive Early Random Drop (MTAERD) are compared using a Java framework and outcomes are showing the total improvement in the quality of ...
8
Supervised Metaphor Detection using Conditional Random Fields
... Conditional Random Fields ...metaphor detection using syntactic, conceptual, affective, and word embeddings based features which are extracted from MRC Psycholinguistic Database (MRCPD) and ...metaphor ...
10
Virus detection and identification using random multiplex (RT) PCR with 3' locked random primers
... 5'-VVVVVVVVAA-3' Primers Enable Random Multi- plex Amplification of Viral RNA from Human Plasma Inoculated with Coxsackie Virus A7. A. 1 ml of human plasma was inoculated with 5 µl of suspended Coxsackie Virus A7 ...
11
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token level Sequence Labeling with Argument specific Models
... Connective Detection, joint Sense Classification scores for explicit and non-explicit relations, and joint Argument Span Extraction score for explicit and non-explicit re- ...
7
Assessment of MDA in adjuvant with CA 125 in early ovarian cancer detection
... detected early in their development, they include a disproportionate number of fatal cancers, being responsible for almost half of death from human genital tract ...
8
Random walker Segmentation based Cancer Detection technique
... at early stages can save millions, if valuable treatment is making ...body. Early detection of cancer all the way through screening and diagnostic mammography enlarges breast cancer treatment options ...
5
A Survey on early stage detection of Microaneurysms
... Yuji et al. [12, 28] proposed a methodology to detect hemorrhage using density analysis, rule-based method in this paper. Gray level grouping based on contrast enhancement was implemented here to improve the contrast of ...
6
Feature Selection for Intrusion Detection Using Random Forest
... Unlike most other classifiers, Random Forest directly performs feature selection while a classification rule is built [25]. The two commonly used variable important measures in RF are Gini importance index and ...
12
Financial Fraud Detection Model Based on Random Forest
... fraud detection in recent years. In this study, we introduced Random Forest (RF) for financial fraud technique detection and detailed features selection, variables’ importance measurement, partial ...
12
Non Poisson variations in photomultipliers and implications for luminescence dating
... For an ideal detection system and random light source Poisson statistics are expected leading.. on average to k-values of 1.Values significantly different than one indicate non-random.[r] ...
31
Congenital heart disease: role of RBSK in reduction of morbidity & mortality in children in Kolhapur
... Any effective health intervention will reduce both direct costs and out-of-pocket expenditure and here, Child Health Screening and promotion of Early Intervention Services is more important for improvement in ...
5