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An Empirical Investigation on Snort NIDS versus Supervised Machine Learning Classifiers
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With the vast usage of network services, Security became an important issue for all network types. Various techniques emerged to grant network security; among them is Network Intrusion Detection System (NIDS). Many extant NIDSs actively work against various intrusions, but there are still a number of performance issues including high false alarm rates, and numerous undetected attacks. To keep up with these attacks, some of the academic researchers turned towards machine learning (ML) techniques to create software that automatically predict intrusive and abnormal traffic, another approach is to utilize ML algorithms in enhancing Traditional NIDSs which is a more feasible solution since they are widely spread. To upgrade the detection rates of current NIDSs, thorough analyses are essential to identify where ML predictors outperform them. The first step is to provide assessment of most used NIDS worldwide, Snort, and comparing its performance with ML classifiers. This paper provides an empirical study to evaluate performance of Snort and four supervised ML classifiers, KNN, Decision Tree, Bayesian net and Naïve Bays against network attacks, probing, Brute force and DoS. By measuring Snort metric, True Alarm Rate, F-measure, Precision and Accuracy and compares them with the same metrics conducted from applying ML algorithms using Weka tool. ML classifiers show an elevated performance with over 99% correctly classified instances for most algorithms, While Snort intrusion detection system shows a degraded classification of about 25% correctly classified instances, hence identifying Snort weaknesses towards certain attack types and giving leads on how to overcome those weaknesses. 

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Publication Date
Sat Jun 03 2023
Journal Name
Iraqi Journal Of Science
Fuzzy Based Spam Filtering
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Emails have proliferated in our ever-increasing communication, collaboration and
information sharing. Unfortunately, one of the main abuses lacking complete benefits of
this service is email spam (or shortly spam). Spam can easily bewilder system because
of its availability and duplication, deceiving solicitations to obtain private information.
The research community has shown an increasing interest to set up, adapt, maintain and
tune several spam filtering techniques for dealing with emails and identifying spam and
exclude it automatically without the interference of the email user. The contribution of
this paper is twofold. Firstly, to present how spam filtering methodology can be
constructed based on the concep

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Publication Date
Tue Mar 30 2021
Journal Name
Baghdad Science Journal
User-Oriented Preference Toward a Recommender System
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            Nowadays, it is convenient for us to use a search engine to get our needed information. But sometimes it will misunderstand the information because of the different media reports. The Recommender System (RS) is popular to use for every business since it can provide information for users that will attract more revenues for companies. But also, sometimes the system will recommend unneeded information for users. Because of this, this paper provided an architecture of a recommender system that could base on user-oriented preference. This system is called UOP-RS. To make the UOP-RS significantly, this paper focused on movie theatre information and collect the movie database from the IMDb website that provides informatio

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Publication Date
Mon Jan 07 2013
Journal Name
Journal Of Educational And Psychological Researches
Administrative decision-making strategies Concepts - theories factors affecting
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Objective: To know the recent shifts in the decision-making process and theories and stages, techniques and systems affecting it.
      The need for research coming  because of the problems that accompany the decision as a result of the failure Sometimes, poor visualization or the narrow perspective of decision-making than miss the opportunity to choose alternatives or options of the most effective and appropriate to solve a problem.
      And has received exceptional decision-making process in administrative studies and research to enable the organization to continue its activities and its high efficiency, especially successful that the decision depends on the future,

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Publication Date
Fri Oct 19 2018
Journal Name
Journal Of Economics And Administrative Sciences
Reflecting the mental abilities of decision-makers in defining the strategic orientation
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        The purpose of this research is to highlight the nature of the relationship between the mental abilities of decision makers and strategic orientation . The intellectual capacity of decision-makers is the cornerstone for the implementation of all the tasks and duties of the Organization and constitutes the most important of its capabilities. As a result of the sharp changes in the environment in which it operates, this organization must accurately define its strategic directions to ensure its

survival and continuity. The problem of field research was to answer a fundamental question: Is the Iraqi director aware of how to employ mental abilities in strategic direc

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Publication Date
Wed Jan 12 2022
Journal Name
Iraqi Journal Of Science
Multilevel Analysis to Recognize Original Voucher from Faked Voucher
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Voucher documents have become a very important information carrier in daily lives to be used in many applications. A certain class of people could exploit the trust and indulge in forging or tampering for short or long term benefits unlawfully. This holds a serious threat to the economics and the system of a nation. The aim of this paper is to recognize original voucher document through its contents. Forgery of voucher document could have serious repercussions including financial losses, so the signature, logo and stamp that are used to determine being a genuine or not by using multilevel texture analysis. The proposed method consists of several operations. First, detection and extraction of signature, logo and stamp images from original

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Publication Date
Fri Apr 01 2022
Journal Name
Baghdad Science Journal
Tourism Companies Assessment via Social Media Using Sentiment Analysis
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In recent years, social media has been increasing widely and obviously as a media for users expressing their emotions and feelings through thousands of posts and comments related to tourism companies. As a consequence, it became difficult for tourists to read all the comments to determine whether these opinions are positive or negative to assess the success of a tourism company. In this paper, a modest model is proposed to assess e-tourism companies using Iraqi dialect reviews collected from Facebook. The reviews are analyzed using text mining techniques for sentiment classification. The generated sentiment words are classified into positive, negative and neutral comments by utilizing Rough Set Theory, Naïve Bayes and K-Nearest Neighbor

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Publication Date
Sun Oct 30 2022
Journal Name
Iraqi Journal Of Science
Using Sequencing Technique for Diagnostic Different Species of Genus Rhizobium Which Isolated from Legume Plants
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      Samples of the root nodules were collected to isolate different species of the genus Rhizobium from several leguminous plants; Trigonella  foenum-graecum, Medicago sativa, Lens culinaris, Vigna mungo, Vicia faba,  Phaseolus vulgaris, and Cicer arietinum, and based on their morphological, cultural, and biochemical characteristics, in addition to the identification of each isolate at the species level by amplified polymerase chain reaction (PCR) and using the sequencing of the nitrogenous bases of the 16S rRNA gene, it was identified as Sinrhizobium meliloti, Sinrhizobium meliloti, Bradyrhizobium elkanii, Rhizobium leguminosarium biovar viciae, Rhizobium leguminosarium biovar phaseoli and Mesorh

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Publication Date
Fri Dec 08 2023
Journal Name
Iraqi Journal Of Science
Sequence Variation and Phylogenetic Relationships Among Ten Iraqi Rice Varieties Using RM171 Marker
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In the present study rice microsatellite marker (RM 171) was used to evaluate the genetic diversity and determining cultivar identity among ten rice varieties (oryza sativa L.) (Seven local and three commercial varieties). PCR technique was performed using two specific primers. The result showed presence of a band (305bp) DNA sequencing was done to PCR product to detect sequence variation between the ten rice varieties. In order to detect the relationship among all varieties, alignment of RM171 marker sequence was carried out for each variety. Amber and Daawat varieties showed the highest similarity with 98% identity, while the difference (2%) consists of two gaps and two transition mutations (T/C) and (C/T). Furthermore, Amber was align

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Publication Date
Wed Aug 30 2023
Journal Name
Iraqi Journal Of Science
Molecular Identification and Phylogenetic-tree Analysis of Hard Ticks from Long Eared Hedgehog Hemiechinus auritus (Gmelin, 1770) in Iraq
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     A total of 77 (35 female and 42 male) hard ticks samples were isolated from 22 long-eared hedgehog during January 2021 to May 2022. All animals were infested with one or two species of hard ticks with 100% infestation rate With the density of infestation mean of 3.5. The areas of collection were Baghdad, Wasit, Karbala and Al-Anbar provinces. Morphological study revealed that both species belonged to one genus of hard ticks: Rhipicephalus sanguineus (Neumann, 1904) 50.64% and Rhipicephalus turanicus (Morel, 1969) 49.35%. The molecular investigation of current study revealed that the sensitive and specific PCR assay allowing rapid and reliable identification of Rhipicephalus sp. by the fragment size amp

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Publication Date
Thu Nov 17 2022
Journal Name
Journal Of Discrete Mathematical Sciences And Cryptography
Minimum spanning tree application in Covid-19 network structure analysis in the countries of the Middle East
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Coronavirus disease (Covid-19) has threatened human life, so it has become necessary to study this disease from many aspects. This study aims to identify the nature of the effect of interdependence between these countries and the impact of each other on each other by designating these countries as heads for the proposed graph and measuring the distance between them using the ultrametric spanning tree. In this paper, a network of countries in the Middle East is described using the tools of graph theory.

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