Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
A SECURE ARCHITECTURE FOR DEFENDING ARP SPOOFING ATTACKS USING A SWITCH BASED METHODOLOGY
1
19
15759
10.21608/ijicis.2014.15759
EN
W
Elkilani
Computer Systems Department, Faculty of Computers and Information, Ain Shames University
Cairo, Egypt
Journal Article
2018
10
03
In local networks, security weaknesses in the data link layer enable internal attacks. Although<br />switches and routers have some built in security features, they are not enough to fully ensure the<br />security of local networks. Moreover, these features require network administrators' involvement and<br />are prone to miss-configuration. In addition, data link layer protocols used in local area networks<br />(LANs) are not designed with built-in security features. The most dangerous attacks on layer 2 are ARP<br />spoofing and MAC flooding attacks. Several schemes to mitigate, detect and prevent these attacks have<br />been proposed, but each has its limitations. This paper proposes a detection and prevention system for<br />ARP spoofing attacks. The system consists of two back to back servers. An application on the servers<br />allows authentication of users to a centralized server. The server, in turn, retrieves logged users to the<br />switch. Hence filtering of untrusted users is performed by telneting the main switch. The Performance<br />study has shown the efficiency and superiority of the proposed system, as compared to the previous<br />work. Several performance metrics have been measured to show its fast response to detection and<br />prevention of the ARP spoofing attacks. The system has been compared to one of the famous<br />commercial tools. The comparison has shown the superiority of our system, since the system detection<br />time is 20 time faster than that of the commercial tool.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
MEDICAL DECISION SUPPORT SYSTEM FOR HEPATITIS C VIRUS PREDICTION USING DATA MINING TECHNIQUES
21
35
15760
10.21608/ijicis.2014.15760
EN
M
Girgis
Department of Computer Science, Faculty of Science, Minia University, Egypt
T
Mahmoud
Department of Computer Science, Faculty of Science, Minia University, Egypt
E
Eliwa
Department of Computer Science, Faculty of Science, Minia University, Egypt
Journal Article
2018
10
03
The healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge<br />poor’. Which, unfortunately, are not “mined” to discover hidden information for effective decision<br />making by healthcare practitioners. The health-care knowledge management can be improved through<br />the integration of data mining and decision support. In this paper, we present a prototype Hepatitis C<br />Virus Decision Support System (HCVDSS) that uses three data mining classification techniques,<br />namely, Decision Trees, Naïve Bayes and Neural Network. Results show that each technique has its<br />own strength in realizing the objectives of the defined mining goals. HCVDSS can answer complex<br />“what if” queries. Using medical profiles such as gender, residence, Alt and Ast the proposed HCVDSS<br />can predict the likelihood of patients getting HCV disease. It enables significant knowledge, e.g.,<br />patterns, relationships between medical factors related to HCV disease, to be established. The proposed<br />HCVDSS, which is implemented on the .Net platform, is windows application, user-friendly, scalable,<br />reliable and expandable.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
PERFORMANCE EVALUATION OF HYBRID PTS-SLM TECHNIQUES VERSUS CONVENTIONAL PTS
37
50
15763
10.21608/ijicis.2014.15763
EN
I
Tarrad
Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo- Egypt
Journal Article
2018
10
03
Orthogonal Frequency Division Multiplexing (OFDM) is an attractive technique for wireless<br />communication over frequency-selective fading channels. Suffer from high Peak-to-Average Power<br />Ratio (PAPR) limiting OFDM usage and reduces the efficiency of High Power Amplifier (HPA) or<br />worse degrade BER. Many PAPR reduction techniques have been proposed in the literature, among<br />them Partial Transmit Sequence (PTS) and Selected Mapping (SLM) are highly successful PAPR<br />reduction techniques. However, the highly computational complexities of these techniques limit their<br />PAPR reduction capability. Recently different hybrid schemes combine PTS and SLM aim to reduce the<br />computational complexity or obtain a better PAPR reduction performance compared with conventional<br />PTS. In this paper, a fairly comparison between PTS and the other hybrid techniques is done,<br />considering technique that can reduce number of required additions and multiplications or at least one<br />of them less than PTS, as the best technique among others. Results show that only SH which can<br />achieve this condition while the other hybrid techniques can't achieve that.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
HM-LEACH: ENERGY EFFICIENT HETEROGENEOUS MOBILE LEACH PROTOCOL FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS
51
61
15764
10.21608/ijicis.2014.15764
EN
E
Selem
Mathematics Department. Zagazig
University, Zagazig, Egypt
A
Khedr
Computer Science Department, .
Sharjah University, Sharjah, UAE27272
H
Nassar
Computer Science Department,
Suez Canal University, Ismailia, Egypt
Journal Article
2018
10
03
in wireless sensor networks (wsns) sensor nodes with sensing, computing and communication<br />infrastructure are randomly deployed and organized as clusters. most of the existing sensor networks<br />focus on homogeneous in which the cluster heads are changed periodically. to improve the lifetime of<br />energy constraint battery powered wsn; clustered heterogeneous sensor networks are analyzed. in this<br />paper, we study the impact of heterogeneity of nodes in terms of their energy in mobile wsns that are<br />hierarchically clustered. we assume that a percentage of the population of sensor nodes is equipped<br />with the additional energy resources. we also assume that the sensor nodes are randomly distributed<br />and are mobile, the coordinates of the sink and the dimensions of the sensor field are known.<br />homogeneous clustering protocols assume that all the sensor nodes are equipped with the same amount<br />of energy and as a result, they cannot take the advantage of the presence of node heterogeneity.<br />adapting this approach, we introduce an energy efficient heterogeneous mobile leach protocol for<br />heterogeneous wsns based on weighted election probabilities of each node to become a cluster head<br />according to the residual energy in each node. Finally, the simulation results demonstrate that our<br />proposed heterogeneous clustering approach is more effective in prolonging the network lifetime and<br />reduce energy consumption compared with m-leach protocol.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
AUTOMATIC MACHINE FAULT DIAGNOSIS BASED ON WAVELET TRANSFORM AND PROBABILISTIC NEURAL NETWORKS
63
79
15766
10.21608/ijicis.2014.15766
EN
Ahmed E
Amin
7 Mahmoud Hekal St.
Computer Science Department, Mansoura University, Mansoura - Egypt
0000-0003-4170-3653
Journal Article
2018
10
03
Machinery parts always put imprint on the product during the production processing.<br />Industry in the developing country the discovery of defects depends on the human experience and<br />spectrum analysis (SA). Fast Fourier Transform (FFT) is basis for SA and uses to extract the frequency<br />features which help the experts to identifying the causes of defected parts in machine. In this paper<br />presents a new technique to automatic fault diagnosis. The proposed technique is constituted of two<br />stages architecture: the first stage is analysis the product signals to extract the features by using<br />wavelet transform (WT). The second stage is devoted to the classification of defect from the features by<br />using probabilistic neural network (PNN). Naïve Bayesian algorithm and Bayesian net algorithm is<br />taken for classification and compared. The novelty of the proposed method resides in the ability not<br />only with higher precision, but also with dimensionality reduction and higher speed than method of<br />Fourier transform and mathematical statistics.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
PETRI NET PERFORMANCE AND RELIABILITY MODELS FOR WIRELESS NETWORKS
81
107
15768
10.21608/ijicis.2014.15768
EN
A
Koriem
National Authority for Remote
Sensing and Space Sciences
(NARSS), Cairo, Egypt
I
Tarrad
Electrical Engineering Department.,
Faculty of Eng., Al-Azhar
University, Cairo, Egypt
H
Farahat
Systems & Computers Eng. Department,
Faculty of Eng., Al-Azhar University,
Cairo, Egypt
Journal Article
2018
10
03
Since the dynamic behavior of wireless networks inherits different communication patterns<br />for the execution processes of the desired parallel tasks and the occurrence processes of handoff<br />operations, the available reliability metrics are not applicable to study and analyze such networks.<br />Therefore, in this paper, we propose a novel Petri net modeling methodology for accurately calculating<br />the reliability of wireless networks that incorporate theses aspects, such as wireless CORBA network.<br />The proposed reliability methodology is developed based on using the End-to-End Expected<br />Instantaneous Reliability (EIR) measure. The EIR has the capability to measure the reliability of<br />wireless networks that incorporate the handoff processes as well as the service processes. In the<br />proposed technique, we firstly build Generalized Stochastic Petri Net (GSPN) performance model for<br />describing the different communication pattern that can occur among the various network resources<br />under the execution of parallel tasks. Secondly, we build GSPN performance model for describing the<br />handoff communication processes among the various network resources. Finally, we build generic<br />reliability model consists of the following parts: the first part describes the execution of the desired<br />parallel tasks, the second part illustrates the mobility characteristic introduced by handoff processes,<br />and the third part describes the dynamic behavior of failure processes of network resources. We study<br />and analyze the various reliability results as well as the performance results obtained from the<br />developed GSPN models under the effect of communication distance among the CORBA network<br />resources.
Ain Shams University, Faculty of Computer and Information Science
International Journal of Intelligent Computing and Information Sciences
1687-109X
14
1
2014
01
01
A NEW ENHANCED AUTHENTICATED KEY AGREEMENT PROTOCOL
109
115
15769
10.21608/ijicis.2014.15769
EN
K
El-Dahshan
Faculty of Science, Mathematics Department, Al-Azhar University, Cairo - Egypt
E
Masameer
Faculty of Science, Mathematics Department, Al-Azhar University, Cairo - Egypt
Ab
Elhabshy
Faculty of Science, Mathematics Department, Al-Azhar University, Cairo - Egypt
Journal Article
2018
10
03
In 2010, Deng and Deng investigated several Seo-Sweeny related protocols and presented a<br />new improvement to Tseng’s protocol to avoid discovered attacks such as modification and off-line<br />password guessing attacks. In this paper, we show that Deng-Deng protocol is still vulnerable to offline<br />password guessing attack, and then we present an enhancement to prevent such attacks.