Journal of Software Engineering & Intelligent Systems

ISSN: 2518-8739 (Online)

APRIL 2019 | VOLUME. 4  ISSUE. 1
Title:

INTRUSION PREVENTION SYSTEM ANALYSIS USING DATABASE RULE AND SIGNATURE ON UNIFIED THREAT MANAGEMENT

Authors:

Iyan Rahdian, Widya Silfianti

Abstract:

The use of the internet in the business world is making businesses more effective in improving services and cost effeciency. The internet enables computers to connect to each other with external networks. However, it has the risk of intrusion such as unknown IP addresses entering the network, causing slow connections between networks, even making web pages and applications unaccesible. Network security in this case is very important to detect and block intrusions; A solution to network security is needed such as the Unified Threat Management (UTM). One of the functions of UTM is Intrusion Prevention System (IPS), which has the function of analyzing intrusion using methods from database rules and signatures. IPS compares incoming data packets with patterns in database rules and signatures, if it has the same pattern then the package is considered as intrusion and is blocked, if the package does not have the same pattern as the pattern in the database rule and signatures, the data package is not considered as an intrusion. The use of IPS can provide information on intrusion and how to block them, making it easier to improve network security and accuracy in detecting systems infected with DDoS malware in 1000 tests performed, getting accuracy of about 98% with 12 false positives that occur during the experiment.

Keywords: network security; information system security; intruder prevention system (IPS); unified threat management (UTM);
Available: INTRUSION PREVENTION SYSTEM ANALYSIS USING DATABASE RULE AND SIGNATURE ON UNIFIED THREAT MANAGEMENT by Iyan Rahdian, Widya Silfianti will be available under cc by-nc 4.0 License on 30th April 2019. Permissions beyond the scope of this license may be available at JSEIS.
Title:

ANALYSIS OF THE EFFECT OF ETHNICITY, COLOR AND GENDER ON MULTI VIEW FACE EMOTION RECOGNITION

Authors:

Farhad Goodarzi, Fakhrul Zaman Bin Rokhani, M. Iqbal Saripan

Abstract:

Based on existing literature, there are seven basic emotions that humans can express. Human facial expression degree varies among different people. In this paper, real time face emotion recognition system is presented. The multi-view facial emotion recognition system works with frontal, non-frontal and side face view. A 3D face pose estimation algorithm detects head rotations of yaw, roll, and pitch for emotion recognition. UPM3D-FE and BU3D-FE databases were used in this research. After detecting the face, geometrical facial features combined with texture features are extracted automatically from specific areas of the face in a novel approach. The features are tested on different classifiers to determine the performance of the method. The results show improvement over existing approaches in neutral, happy, sad, disgust, anger and surprise when using the neural networks with GLCM texture operators, also a real time system is achieved. Other analysis about the role of ethnicity, gender, shows that gender has almost no effect on emotion recognition and in BU3DFE database, middle east, and southeast Asians achieve the highest accuracy result and the lowest are black and white ethnicities.

Keywords: facial expressions; basic emotions; real time; 3D face pose; back propagation; texture operator;
Available: ANALYSIS OF THE EFFECT OF ETHNICITY, COLOR AND GENDER ON MULTI VIEW FACE EMOTION RECOGNITION by Farhad Goodarzi, Fakhrul Zaman Bin Rokhani, M. Iqbal Saripan will be available under cc by-nc 4.0 License on 30th April 2019. Permissions beyond the scope of this license may be available at JSEIS.

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