The Internet and information communication technologies (ICT) became the most important components in everyday life, given the fact that they have altered the behaviour patterns and in many aspects made our lives simpler. Upcoming Internet of Things (IoT) will additionally have a positive influence on our Quality of Life (QoL). However, even now, the society is extremely vulnerable to disturbances that may affect the functioning of the Internet and ICT systems, and thereby jeopardise the reliability and security of the information they contain. The situation becomes even more complicated when IoT takes effect and cyber threats exceed the perimeter of information security and include physical security, existence and health. The world has shyly started to raise questions and perceive problems regarding the IoT, QoL and security issues that it will bring to the cyber space in order to find the appropriate solutions in time. Bosnia and Herzegovina, as well as any other modern country, needs to take place in these processes and newly opened research fields. This paper gives an overview of Bosnia and Herzegovina’s existing cybersecurity infrastructure and capacities in terms of legislation, security management structure, corresponding cybersecurity units, as well as their cooperation and qualification level. On that basis it is concluded that cybersecurity is not among the priorities in Bosnia and Herzegovina. The country “offers” problems for adequate and generally accepted solutions in the cybersecurity domain and needs to work on its readiness to contribute to the safety of IoT and cyber space, and consequently improving citizens’ QoL.

With the move towards converged all-IP wireless network environments, managing end-user Quality of Experience (QoE) poses a challenging task, aimed at meeting high user expectations and requirements regarding reliable and cost-effective communication, access to any service, anytime and anywhere, and across multiple operator domains. In this paper, we give a survey of state-of-the-art research activities addressing the field of QoE management, focusing in particular on the domain of wireless networks and addressing three management aspects: QoE modeling, monitoring and measurement, and adaptation and optimization. Furthermore, we identify and discuss the key aspects and challenges that need to be considered when conducting research in this area.

Next Generation Network (NGN) faces the challenge of the rapidly increasing amount of signaling. The growing amount of signaling is a consequence of several reasons arising from the fact that signaling is the main source of network intelligence, analysis, and user behavior monitoring. With the increase in signaling load and complexity, the network management becomes a challenging issue that can impact overall Quality of Service (QoS). To confront this issue, there is a need for reliable and forehand signaling transmission in NGN. As there is much confusion about the interpretation of this concept, this paper aims to provide an overview of the evolution of signaling transmission. Migration towards NGN is analyzed from the signaling perspective. The NGN signaling protocols and related transmission requirements are identified. Through the discussion of standard approaches, the paper considers our previously published approach to signaling transmission along with the current issues and emerging opportunities.

Next generation transport network is characterized by the use of in-band signaling, where Internet Protocol (IP) packets carrying signaling or media information are mixed in transmission. Since transport resources are limited, when any segment of access or core network is congested, IP packets carrying signaling information may be discarded. As a consequence, it may be impossible to implement reachability and quality of service (QoS). Since present approaches are insufficient to completely address this problem, a novel approach is proposed, which is based on prioritizing signaling information transmission. To proof the concept, a simulation study was performed using Network Simulator version 2 (ns-2) and independently developed Session Initiation Protocol (SIP) module. The obtained results were statistically processed using Statistical Package for the Social Sciences (SPSS) version 15.0. Summarizing our research results, several issues are identified for future work.