COMPARATIVE AND QOS PERFORMANCE ANALYSIS OF TERRESTRIAL-AERIAL PLATFORMS-SATELLITES SYSTEMS FOR TEMPORARY EVENTS

Faris. A. Almalki

Department of Computer Engineering, College of Computers and Information Technology
Taif University, Kingdom of Saudi Arabia

Abstract 

Wireless communications, nowadays, becomes a vital element of people’s daily life. Providing global connectivity in future communication systems via the heterogeneous network opens up many research topics to investigate potentialities, enabling technologies, and challenges from the perspective of the integrated wireless systems. This paper aims to drive a comprehensive and comparative study on terrestrial-aerial platforms- satellite wireless communications systems, includes their characteristics and unravelling challenges. The comparison focuses on issues that reportedly can evaluate any wireless systems for temporary events. These issues are altitude and coverage, Radio Frequency (RF) propagation, interference, handover, power supply constraints, deployment and maintenance challenges, reliability on special events or disaster relief, cost-effectiveness and environmental impact. Last, Quality of service (QoS) performance is analysed for the four wireless communication systems from the temporary events perspective using the OPNET Modeller simulation tool. Results infer that space-based wireless systems outperform terrestrial ones.

Keywords 

Terrestial; Aerial Platforms; Satellites; QoS Performance; Temporary Events
                       

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MULTI-CLUSTER MULTI-CHANNEL SCHEDULING (MMS) ALGORITHM FOR MAXIMUM DATA COLLECTION WITH DELAY MINIMIZATION IN WSN

A. Vijayalakshmi¹ and P. Vanaja Ranjan²

 ¹Department of Electronics and Communication Engineering Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India

²Department of Electrical and Electronics Engineering, College of Engineering Anna University, Chennai. India

Abstract 

Interference during data transmission can cause performance degradation like packet collisions in Wireless Sensor Networks (WSNs). While multi-channels available in IEEE 802.15.4 protocol standard WSN technology can be exploited to reduce interference, allocating channel and channel switching algorithms can have a major impact on the performance of multi-channel communication. This paper presents an improved Fuzzy Logic based Cluster Formation and Cluster Head (CH) Selection algorithm with enhanced network lifetime for multi-cluster topology. The Multi-Cluster Multi-Channel Scheduling (MMS) algorithm proposed in this paper improves the data collection by minimizing the maximum interference and collision. The presented work has developed Cluster formation and cluster head (CH) selection algorithm and Interference-free data communication by proper channel scheduled. The extensive simulation and experimental outcomes prove that the proposed algorithm not only provides an interference-free transmission but also provides delay minimization and longevity of the network lifetime, which makes the presented algorithm suitable for energy-constrained wireless sensor networks.

Keywords 

Wireless Sensor Networks, Fuzzy Logic, Cluster Formation, Cluster Head, Channel Assignment, Channel Switching, Delay Minimization, Network Lifetime.
                       

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THE METHOD OF DETECTING ONLINE PASSWORD ATTACKS BASED ON HIGH-LEVEL PROTOCOL ANALYSIS AND CLUSTERING TECHNIQUES

Nguyen Hong Son¹ and Ha Thanh Dung²

¹Faculty of Information Technology Posts and Telecommunications Institute of Technology, Vietnam 

²Faculty of Information Systems and Remote Sensing Ho Chi Minh City University of Natural Resources and Environments, Vietnam

Abstract 

Although there have been many solutions applied, the safety challenges related to the password security mechanism are not reduced. The reason for this is that while the means and tools to support password attacks are becoming more and more abundant, the number of transaction systems through the Internet is increasing, and new services systems appear. For example, IoT also uses password-based authentication. In this context, consolidating password-based authentication mechanisms is critical, but monitoring measures for timely detection of attacks also play an important role in this battle. The password attack detection solutions being used need to be supplemented and improved to meet the new situation. In this paper we propose a solution that automatically detects online password attacks in a way that is based solely on the network, using unsupervised learning techniques and protected application orientation. Our solution therefore minimizes dependence on the factors encountered by host-based or supervised learning solutions. The certainty of the solution comes from using the results of in-depth analysis of attack characteristics to build the detection capacity of the mechanism. The solution was implemented experimentally on the real system and gave positive results.

Keywords 

Online password attack detection, unsupervised learning, protocol analysis, DBSCAN clustering algorithm 
                       

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