Informatica 41 (2017) 131–131 131 
Editors' Introduction to the Special Issue on ‟Information and 
Communication Technology” 
Since 2010, Symposium on Information and 
Communication Technology-SoICT has been organised 
annually. The symposium provides an academic forum 
for researchers to share their latest research findings and 
to identify future challenges in computer science. The 
best papers from SoICT 2015 have been extended and 
published in the Special issue “SoICT 2015” of 
Informatica Journal, Vol.40, No.2 (2016). In 2016, 
SoICT was held in Hochiminh city, Vietnam, during 
December 8-9th.  The symposium covered four major 
areas of research including Artificial Intelligence and Big 
Data, Information Networks and Communication 
Systems, Human-Computer Interaction, Software 
Engineering and Applied Computing. 
In 130 submissions from 20 countries, 58 papers 
were accepted for presentation at SoICT’2016. Among 
them, 6 papers were carefully selected, after further 
extension and additional reviews, for inclusion in this 
special issue.  
Paper “Improvement of Person Tracking Accuracy 
in Camera Network by Fusing WiFi and Visual 
Information” by Thi Thanh Thuy Pham, Thi-Lan Le and 
Trung-Kien Dao addresses the problem of person 
tracking in camera network. The authors assign the 
trajectory by person identity (ID) determined at each 
video frame. In order to improve the accuracy of vision-
based person tracking, authors propose a fusion scheme 
of WiFi and visual signals for person tracking. The 
fusion method allows tracking by identification in non-
overlapping cameras, with clear identity information 
taken from WiFi adapter.  
Paper “Persons-In-Places: A Deep Features Based 
Approach For Searching A Specific Person In A Specific 
Location” by Vinh-Tiep Nguyen, Thanh Duc Ngo, Minh-
Triet Tran, Duy-Dinh Le and Duc Anh Duong considers 
the problem of video retrieval with complex queries 
which simultaneously covers person and location 
information. Authors introduce a framework to leverage 
Bag-Of-Visual-Words (BOW) model and deep features 
for person-place video retrieval.  
Research in the paper “Another Look at Radial 
Visualization for Class-preserving Multivariate Data 
Visualization” was conducted by Van Long Tran. Radial 
visualization is one of common information visualization 
concepts for visualizing multivariate data. However, 
radial visualization may display different information 
about structures of multivariate data. For example, all 
points that are multiplicatives of given points may map to 
the same point in the visual space. An optimal layout of 
radial visualization is usually found by defining a 
suitable order of data dimensions on the unit circle. In 
this paper, author proposes a novel method that improves 
the radial visualization layout for cluster preservation of 
multivariate data.  
Paper “Key-Value-Links: A New Data Model for 
Developing Efficient RDMA-Based In-Memory Stores” 
by Hai Duc Nguyen, The De Vu, Duc Hieu Nguyen, 
Minh Duc Le, Tien Hai Ho and Tran Vu Pham proposes 
a new data model, named Key-Value-Links (KVL), to 
improve in-memory store using RDMA. The KVL data 
model is essentially a key-value model with several 
extensions. The model named KELI. The results of 
experiments on real-life workload indicate that KELI, 
without being applied much optimization, easily 
outperform Memcached, a popular in-memory key-value 
store, in many cases. 
Paper “Defense Strategies against Byzantine Attacks 
in a Consensus-Based Network Intrusion Detection 
System” by Michel Toulouse, Hai Le, Cao Vien Phung 
and Denis Hock is interested in a security problem. 
Although the purpose of Network Intrusion Detection 
System (NIDS) is to monitor network traffic such as to 
detect malicious usages of network facilities, NIDS can 
itself be attacked. The paper investigates such 
vulnerabilities in a recent consensus-based NIDS 
proposal. It is known that consensus algorithms are not 
resilient to compromised nodes sharing falsified 
information, i.e. they can be the targets of Byzantine 
attacks. The paper proposes two different strategies 
aiming at identifying compromised NIDS modules 
sharing falsified information. Also, a simple approach is 
proposed to isolate compromised modules, returning the 
NIDS into a non-compromised state. Validations of the 
defense strategies are provided through several 
simulations of Distributed Denial of Service attacks 
using the NSL-KDD data set.  
Paper “Emotional contagion model for group 
evacuation simulation” by Xuan Hien Ta, Benoit 
Gaudou, Dominique Longin and Tuong Vinh Ho focuses 
on fear-related emotions and their positive impact on the 
survival capabilities of human beings in case of crisis 
situations. Authors proposed a new model of emotional 
contagion based on some main findings in social 
psychology. This model was formalized mathematically, 
implemented and tested in the GAMA agent-based 
simulation platform in the context of evacuation 
simulation. Authors assessed experimentally the impact 
of three factors (emotion decay, environment, neighbors’ 
emotional contagion) on emotion dynamics at individual 
and group levels. 
       
Luc De Raedt 
Marc Bui 
Yves Deville 
Dieu-Linh Truong