Mika Ylianttila

Prof. Mika Ylianttila

Centre for Wireless Communications, University of Oulu, Oulu, Finland
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2021 in IEEE Communications Surveys & Tutorials
Verified
Journal Article
Open access
YSYushan Siriwardhana
Yushan Siriwardhana
PPPawani Porambage
Pawani Porambage
Madhusanka LiyanageMadhusanka Liyanage
Madhusanka Liyanage
Mika YlianttilaMika Ylianttila
Mika Ylianttila
The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth of powerful, less expensive mobile devices, and the emergence of sophisticated communication infrastructure, Mobile Augmented Reality (MAR) applications are gaining increased popularity. MAR allows users to run AR applications on mobile devices with greater mobility and at a lower cost. The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings enhanced computational power closer to the users to complement MAR. This paper extensively discusses the landscape of MAR through the past and its future prospects with respect to the 5G systems and complementary technology MEC. The paper especially provides an informative analysis of the network formation of current and future MAR systems in terms of cloud, edge, localized, and hybrid architectural options. The paper discusses key application areas for MAR and their future with the advent of 5G technologies. The paper also discusses the requirements and limitations of MAR technical aspects such as communication, mobility management, energy management, service offloading and migration, security, and privacy and analyzes the role of 5G technologies.

27 August 2015 in IEEE Communications Surveys & Tutorials
Verified
Journal Article
Closed access
IAIjaz Ahmad
Ijaz Ahmad
SNSuneth Namal
Suneth Namal
Mika YlianttilaMika Ylianttila
Mika Ylianttila
Andrei GurtovAndrei Gurtov
Andrei Gurtov
Software defined networking (SDN) decouples the network control and data planes. The network intelligence and state are logically centralized and the underlying network infrastructure is abstracted from applications. SDN enhances network security by means of global visibility of the network state where a conflict can be easily resolved from the logically centralized control plane. Hence, the SDN architecture empowers networks to actively monitor traffic and diagnose threats to facilitates network forensics, security policy alteration, and security service insertion. The separation of the control and data planes, however, opens security challenges, such as man-in-the middle attacks, denial of service (DoS) attacks, and saturation attacks. In this paper, we analyze security threats to application, control, and data planes of SDN. The security platforms that secure each of the planes are described followed by various security approaches for network-wide security in SDN. SDN security is analyzed according to security dimensions of the ITU-T recommendation, as well as, by the costs of security solutions. In a nutshell, this paper highlights the present and future security challenges in SDN and future directions for secure SDN.

10 May 2021 in IEEE Open Journal of the Communications Society
Verified
Journal Article
Open access
PPPawani Porambage
Pawani Porambage
GGGürkan Gür
Gürkan Gür
DODiana Pamela Moya Osorio
Diana Pamela Moya Osorio
Madhusanka LiyanageMadhusanka Liyanage
Madhusanka Liyanage
Andrei GurtovAndrei Gurtov
Andrei Gurtov
Mika YlianttilaMika Ylianttila
Mika Ylianttila
Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion. Therefore, in order to consolidate and solidify the security and privacy in 6G networks, we survey how security may impact the envisioned 6G wireless systems, possible challenges with different 6G technologies, and the potential solutions. We provide our vision on 6G security and security key performance indicators (KPIs) with the tentative threat landscape based on the foreseen 6G network architecture. Moreover, we discuss the security and privacy challenges that may encounter with the available 6G requirements and potential 6G applications. We also give the reader some insights into the standardization efforts and research-level projects relevant to 6G security. In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication (VLC), THz, and quantum computing. All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.

10 May 2019 in IEEE Communications Surveys & Tutorials
Verified
Journal Article
Closed access
IAIjaz Ahmad
Ijaz Ahmad
SSShahriar Shahabuddin
Shahriar Shahabuddin
Tanesh KumarTanesh Kumar
Tanesh Kumar
JOJude Okwuibe
Jude Okwuibe
Andrei GurtovAndrei Gurtov
Andrei Gurtov
Mika YlianttilaMika Ylianttila
Mika Ylianttila
The development of the Fifth Generation (5G) wireless networks is gaining momentum to connect almost all aspects of life through the network with much higher speed, very low latency and ubiquitous connectivity. Due to its crucial role in our lives, the network must secure its users, components, and services. The security threat landscape of 5G has grown enormously due to the unprecedented increase in types of services and in the number of devices. Therefore, security solutions if not developed yet must be envisioned already to cope with diverse threats on various services, novel technologies, and increased user information accessible by the network. This article outlines the 5G network threat landscape, the security vulnerabilities in the new technological concepts that will be adopted by 5G, and provides either solutions to those threats or future directions to cope with those security challenges. We also provide a brief outline of the post-5G cellular technologies and their security vulnerabilities which is referred to as Future Generations (XG) in this paper. In brief, this article highlights the present and future security challenges in wireless networks, mainly in 5G, and future directions to secure wireless networks beyond 5G.

1 April 2000 in IEEE Wireless Communications
Verified
Journal Article
Closed access
KPK. Pahlavan
K. Pahlavan
PKP. Krishnamurthy
P. Krishnamurthy
AHA. Hatami
A. Hatami
Mika YlianttilaMika Ylianttila
Mika Ylianttila
JMJ.P. Makela
J.P. Makela
JVJ. Vallstron
J. Vallstron
With the emergence of a variety of mobile data services with variable coverage, bandwidth, and handoff strategies, and the need for mobile terminals to roam among these networks, handoff in hybrid data networks has attracted tremendous attention. This article presents an overview of issues related to handoff with particular emphasis on hybrid mobile data networks. Issues are logically divided into architectural and handoff decision time algorithms. The handoff architectures in high-speed local coverage IEEE 802.11 wireless LANs, and low-speed wide area coverage CDPD and GPRS mobile data networks are described and compared. A survey of traditional algorithms and an example of an advanced algorithm using neural networks for PTO decision time in homogeneous networks are presented. The HO architectural issues related to hybrid networks are discussed through an example of a hybrid network that employs GPRS and IEEE 802.11. Five architectures for the example hybrid network, based on emulation of GPRS entities within the WLAN, mobile IP, a virtual access point, and a mobility gateway (proxy), are described and compared. The mobility gateway and mobile IP approaches are selected for more detailed discussion. The differences in applying a complex algorithm for HO decision time in a homogeneous and a hybrid network are shown through an example.

25 May 2016 in IEEE Cloud Computing
Verified
Journal Article
Closed access
PPPawani Porambage
Pawani Porambage
Mika YlianttilaMika Ylianttila
Mika Ylianttila
CSCorinna Schmitt
Corinna Schmitt
Pardeep KumarPardeep Kumar
Pardeep Kumar
Andrei GurtovAndrei Gurtov
Andrei Gurtov
AVAthanasios V. Vasilakos
Athanasios V. Vasilakos
The Internet of Things (IoT) is the current evolutionary paradigm of networking and the key driving force toward a smart world. Although privacy in the IoT is highly regarded to ensure the protection of users and personal information from the perspective of individual or cooperative users, it's insufficiently studied. As members of the always-connected paradigm of the massive IoT world, people can scarcely control the disclosure of their personal information. The biggest challenge is to allow users to experience the best utilization of IoT-based products and services with the fewest privacy threats and failures. This article provides a holistic view of the challenges of and issues related to preserving IoT privacy, as well as the existing solutions. Privacy by design (PbD) is identified as the key solution for many IoT privacy issues. The article also discusses hot topics in IoT privacy and future research directions.