In recent years, with the growing size and the importance of computer networks, it is very necessary to provide adequate protection for users data from snooping through the use of one of the protection techniques: encryption, firewall and intrusion detection systems etc. Intrusion detection systems is considered one of the most important components in the computer networks that deal with Network security problems. In this research, we suggested the intrusion detection and classification system through merging Fuzzy logic and Artificial Bee Colony Algorithm. Fuzzy logic has been used to build a classifier which has the ability to distinguish between the behavior of the normal user and behavior of the intruder. The artificial bee colony algorithm has been used to build the classifier which was used to classify the intrusion into one of the main types (DoS, R2L , U2R, Prob). The proposed system has the ability to detect and classify intrusion at high speed with a small percentage of false alarms as well as to detect the new attacks. The NSL-KDD dataset used in the training and testing the proposed system.The results of experiments showed that the efficiency of the proposed system performance were (97.59%) for the intrusion detection, and (0.12%) for the false alarms. Also, the Classification rates for classes (DoS, R2L,U2R,Prob) were (97.19, 77.09, 98.43, 93.23) Respectively, which is considered a superior performance comparing with other methods in the literature.
(2)
(2)
In this paper, we apply the notion of a bipolar fuzzy n-fold KU-ideal of KU- algebras. We introduce the concept of a bipolar fuzzy n-fold KU-ideal and investigate several properties. Also, we give relations between a bipolar fuzzy n- fold KU-ideal and n-fold KU-ideal. The image and the pre-image of bipolar fuzzy n-fold KU-ideals in KU-algebras are defined and how the image and the pre- image of bipolar fuzzy n-fold KU-ideals in KU-algebras become bipolar fuzzy n- fold KU-ideals are studied. Moreover, the product of bipolar fuzzy n-fold KU- ideals in Cartesian product KU-algebras is given.
(1)
Urinary tract infections (UTI) are some of the most common infections experienced by humans, exceeded in frequency among ambulatory patient only by respiratory and gastrointestinal infections. It is also the most common cause of nosocomial infection in adults. A total of three hundred urine sample were collected in age (1-69 years old) in both gender, with (UTI) symptoms referred to AL-Yarmok Teaching Hospital at Baghdad city during the period from January 2010 till August 2010. The commonest isolates were Escherichia coli (E.Coli), Proteus mirabilis and Klebsiella pneumoniae (These represented 49.2%, 22 %, and16 % of isolates respectively). The percentage of bacteria incidence in females
... Show MoreThere is not enough studies about bacterial contamination of air condition system in the cars and houses, bacterial detection of such surrounding is necessary for the human environment.
The object of recent study was to evaluate the level of bacterial contamination in air conditioner in cars and houses in Baghdad city, Iraq.
Air samples were taken indoor from cars and house air conditioner in the Baghdad city. The result indicated that gram positive bacteria more than gram negative bacteria in air conditioner. Air condition of cars (20-500 CFU) was more contaminated than of houses (10-100 CFU).
Bacillus was the most frequently bacterial isolates genus with recovery rate B
... Show MoreBackground: Candida tropicalis is one of the most causes of vulvovaginal candidiasis (VVC) in women. Systemic candidiasis and candidemia may also occur in pregnancies. Objective: This study was carried out to detect and isolate of this yeast from aborted placenta, which may cause severe complications such as spontaneous abortion. Materials and methods: Fresh aborted placenta were collected and washed by normal saline to remove the blood. Then, cut it into portions and place it in test tube containing 5 ml of normal saline. Finally, shake for 10 minutes, after that, cultured for microbial isolation. Isolation and detection were done by some conventional methods with Api candida and CHROMagar. Results: The results showed that four iso
... Show More
(1)
(1)
Pseudomonas aeruginosa has variety of virulence factors that contribute to its pathogenicity. Therefore, rapid detection with high accuracy and specificity is very important in the control of this pathogenic bacterium. To evaluate the accuracy and specificity of Polymerase Chain Reaction (PCR) assay, ETA and gyrB genes were targeted to detect pathogenic strains of P. aeruginosa. Seventy swab samples were taken from patients with infected wounds and burns in two hospitals in Erbil and Koya cities in Iraq. The isolates were traditionally identified using phenotypic methods, and DNA was extracted from the positive samples, to apply PCR using the species specific primers targeting ETA, the gene encoding for exotoxin A, and gyrB gene. The res
... Show More
(5)
The study aims to detect the presence of carbapenems genes and the prevalence of antibiotic-resistant E. coli in the Tigris River. Samples were collected from three sites of the Tigris River: S1Adhamiya, S2 Medical city hospital, and S3 Abu Nuwas. It diagnosed 40 isolates of E. coli out of 67 isolates of bacteria by Vitek2. The antibiotic sensitivity was determined by the disk diffusion method. E.coli isolates were tested against 7 antibiotics these belonged to β-lactam, Carbapenem. Also, the resistance genes) blaVIM and blaNDM) detected for these isolates of E. coli. The results appeared resistance of E.coli against AMC 82.5%, PRL 62.5%, AM 55%, and moderate resistance
... Show More
(1)
(1)