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Detection Application Layer DDoS Attack Using Score Function for A connection

Research Abstract
The HTTP flooding attack is the hardest type of DDoS attacks to detect since the malicious packets are hidden in the huge amount of normal traffic. Most detection schemes available up to now use similarity method of communication attributes (i.e. fixed threshold for every attribute ) or machine learning algorithms.it is notable,however,that attributes number very dramatically according to the users activity. Also, using machine learning need a large amount of data for training.In this paper, we introduce a new detection scheme for HTTP flooding attack that exhausting servers. the proposed detection scheme is based on HTTP request/raspons protocol.During normal cases, any server can measure various statistical attributes for its users and their traffic. a server can keep the statistical attributes as a reference profile. during the attack time, measuring some attributes for every connection (i.e. Request number, Response number, Not finished connections number, Number of TCP packets, Number of UDP packets and Number of ICMP packets) then computes distance between its attributes and statistical attributes in normal cases. the proposed detection scheme uses small amount of data to specify the score for a normal connection, also it does not take into consideration a fixed threshold for every attribute in normal connections. Extensive trace-driven simulation has been conducted to demonstrate the efficiency of the proposed scheme in terms of its detection rate, probability of false positive and also average detection time.
Research Authors
Dalia Nashat, S.Khairi and T. Ibrahim
Research Journal
The Third International Conference on New Horizons in Basics and Applied Science [ICNHBAS], 5–7 August, Hurghada, Egypt
Research Pages
NULL
Research Publisher
NULL
Research Rank
3
Research Vol
NULL
Research Website
NULL
Research Year
2017

A smart chemosensor: Discriminative multidetection and various logic operations in aqueous solution at biological pH

Research Abstract
A novel rhodamine-pyrazole based molecular probe was designed and easily synthesized. The probe could to detect several analytes in aqueous solution at biological pH (HEPES, pH = 7.2). Several heavy metal cations, including Cu2+, Fe3+, Al3+, Hg2+ and Ni2+ were detected discriminately by the probe. Also, the novel compound exhibited a good sensory selectivity towards S2O52− by both absorption and emission spectra. Moreover, probe/Cu2+ complex could to detect several anions, including F−, CN−, S2−, CH3COO−, CO32– and NO2−. Furthermore, the probe exhibited a high potential to work as a molecular system able to perform a number of logical operations such as AND, NAND, NOR and INHIBIT logic gates.
Research Authors
Awad I. Said, Nikolai I. Georgiev, Vladimir B. Bojinov
Research Journal
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Research Pages
117304
Research Publisher
Elsevier
Research Rank
1
Research Vol
223
Research Website
https://www.sciencedirect.com/science/article/pii/S1386142519306948
Research Year
2019

Fluctuation, Diamagnetic Transition, and FTIR Spectra of La Substituting Ca in (Bi, Pb): 2223 Superconductor

Research Abstract
The normal and superconducting properties of Bi1.7Pb0.30Sr2Ca2−xLaxCu2Oy (Bi, Pb):2223 system with various x values (0.00 ≤ x ≤ 0.30) have been reported. It is found that the replacement of Ca2+ by La3+ up to 0.30 does not influence the phase purity of the pure system, while the orthorhombic distortion, excess oxygen, effective Cu valance and hole carriers/Cu ions are clearly affected. Further, the doping distance and crystal geometry factor are decreased, but the distance between neighboring Cu-atoms and density of excess doping are increased. Furthermore, the DTA diagrams show strong endothermic peaks Tm at 844.1, 848, 850.1 and 857.4 °C for pure and La samples, respectively. The mass loss determined by TGA displayed a sharp mass loss started at about 800 °C and extended to 1000 °C for all samples. Although the critical temperatures Tc of the samples are decreased by La insertion …
Research Authors
A Sedky, Amna Salah
Research Journal
Journal of Superconductivity and Novel Magnetism
Research Pages
11
Research Publisher
Springer US
Research Rank
1
Research Vol
6(10)
Research Website
https://link.springer.com/article/10.1007/s10948-020-05651-7
Research Year
2020

Comparative ameliorative actions of extracted bradykinin potentiating fraction from cobra snake venom and synthetic antioxidants on hepatic tissue of aflatoxicosed rats.

Research Abstract
NULL
Research Authors
Ahmed Y. Nassara, Safaa A. Mahgoub, Hossam-El-Din M. Omar, Sally M. Bakkar, Amany A. Osman

Research Journal
journal of applied animal research
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
NULL
Research Website
NULL
Research Year
2020

Comparative ameliorative actions of extracted bradykinin potentiating fraction from cobra snake venom and synthetic antioxidants on hepatic tissue of aflatoxicosed rats.

Research Abstract
NULL
Research Authors
Ahmed Y. Nassara, Safaa A. Mahgoub, Hossam-El-Din M. Omar, Sally M. Bakkar, Amany A. Osman

Research Journal
journal of applied animal research
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
NULL
Research Website
NULL
Research Year
2020

Ameliorative effects of bradykinin potentiating factor, butylated hydroxy toluene and oltipraz on biochemical and histological structure of lymph follicles in aflatoxicosed female rats.

Research Abstract
NULL
Research Authors
Safaa A. Mahgoub, Ahmed Y. Nassar, Hossam-El-Din M. Omar, Amany A. Osman
Research Journal
المجلة العلمية بكلية العلوم
Research Pages
NULL
Research Publisher
NULL
Research Rank
2
Research Vol
NULL
Research Website
NULL
Research Year
2020

First report of environmental isolation of Cryptococcus neoformans and other fungi from pigeon droppings in Makkah, Saudi Arabia and in vitro susceptibility testing


Research Abstract
NULL
Research Authors
Hussein Hasan Abulreesh, Sameer Rushdi Organji, KhaledElbannaa, Gamal Ebrahim Haridy Osman, Meshal Helal Kareem Almalki, Ahmed Yahya Abdel-Mallek
Research Journal
Asian Pacific Journal of Tropical Disease
Research Pages
622-626
Research Publisher
NULL
Research Rank
1
Research Vol
5, (8)
Research Website
NULL
Research Year
2015

Solving Two-Class Classification Problem Using Memetic Programming

Research Abstract
NULL
Research Authors
Amal A. Farhat, I.E. El-Semman, Emad Mabrouk.
Research Journal
Assiut Univ. J. of Mathematics and Computer Science
Research Pages
NULL
Research Publisher
NULL
Research Rank
2
Research Vol
NULL
Research Website
NULL
Research Year
2019
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