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Pierdomenico Fiadino

Pierdomenico Fiadino
Typeform · Data & Analytics

PhD

About

36
Publications
4,914
Reads
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468
Citations
Additional affiliations
January 2016 - present
Eurecat, Technology Centre of Catalonia
Position
  • Data Scientist
October 2010 - December 2015
Forschungszentrum Telekommunikation Wien
Position
  • Researcher
Education
October 2012 - November 2015
TU Wien
Field of study
  • Electrical Engineering and Information Technology
September 2008 - September 2010
Sapienza University of Rome
Field of study
  • Computer Engineering, school in Computer Networks
September 2005 - September 2008
Sapienza University of Rome
Field of study
  • Computer Engineering

Publications

Publications (36)
Conference Paper
Full-text available
The exploitation of cellular network data for studying human mobility has been a popular research topic in the last decade. Indeed, mobile terminals could be considered ubiquitous sensors that allow the observation of human movements on large scale without the need of relying on non-scalable techniques, such as surveys, or dedicated and expensive m...
Poster
Network security represents a keystone to ISPs, who need to cope with an increasing number of network attacks that put the network’s integrity at risk. The high-dimensionality of network data provided by current network monitoring systems opens the door to the massive application of machine learning approaches to improve the detection and classific...
Conference Paper
Full-text available
Network security represents a keystone to ISPs, who need to cope with an increasing number of network attacks that put the network's integrity at risk. The high-dimensionality of network data provided by current network monitoring systems opens the door to the massive application of machine learning approaches to improve the detection and classific...
Conference Paper
The ever-increasing number of mobile devices connected to cellular networks is heavily modifying the traffic observed in these networks. The traffic volumes and patterns generated by smartphones pose novel challenges to cellular network operators. One of these challenges relates to the automatic detection and diagnosis of unforeseen network traffic...
Article
Internet access through cellular networks is rapidly growing, driven by the great success of the mobile apps paradigm and the overwhelming popularity of social-related multimedia services such as YouTube, Facebook, or even WhatsApp. Understanding the functioning, performance, and traffic generated by these applications is paramount for ISPs, especi...
Conference Paper
Despite the long literature and assorted list of proposed systems for performing detection and classification of anomalies in operational networks, Internet Service Providers (ISPs) are still looking for effective means to manage the ever-growing number of network traffic anomalies they face in their daily business. In this paper we address the pro...
Article
Unveiling network and service performance issues in complex and highly decentralized systems such as the Internet is a major challenge. Indeed, the Internet is based on decentralization and diversity. However, its distributed nature leads to operational brittleness and difficulty in identifying the root causes of performance degradation. In such a...
Conference Paper
Full-text available
The DNS protocol has proved to be a valuable means for identifying and dissecting large-scale anomalies in omnipresent Over The Top (OTT) Internet services. In this paper, we present and evaluate a framework for detecting and diagnosing traffic anomalies via DNS traffic analysis. Detection of such anomalies is achieved by monitoring different DNS-r...
Conference Paper
Full-text available
The DNS protocol has proved to be a valuable means for identifying and dissecting large-scale anomalies in omnipresent Over The Top (OTT) Internet services. In this paper, we present and evaluate a framework for detecting and diagnosing traffic anomalies via DNS traffic analysis. Detection of such anomalies is achieved by monitoring different DNS-r...
Conference Paper
In this paper we challenge the applicability and performance of entropy-based approaches for detecting and diagnosis network traffic anomalies, and claim that full statistics (i.e., empirical probability distributions) should be applied to improve the change-detection capabilities. We support our claim by detecting and diagnosing large-scale traffi...
Conference Paper
The popularity of Online Social Networks (OSNs) has created an immense amount of research for the analysis of these networks and the traffic produced by popular applications such as Facebook. In this paper we study the networking characteristics of OSNs in mobile networks, analyzing the most popular OSNs in western countries: Facebook and WhatsApp....
Conference Paper
Online Social Networks (OSNs) have rapidly become an integral part of our daily lives, and hundreds of millions of people are nowadays remotely connected through popular OSNs such as Facebook, Google+, Twitter and WhatsApp. While much has been said and studied about the social aspects of OSNs, little is known about the network side of OSNs, special...
Conference Paper
Full-text available
Instant Multimedia Messaging (IMM) applications are increasing their popularity in cellular networks, rapidly taking over the traditional SMS and MMS messaging service. This paper presents the first large-scale characterization of WhatsApp, the new giant in IMM. Understanding how it works is paramount for cellular operators and service providers, b...
Article
Full-text available
YouTube is the most popular service in today’s Internet. Google relies on its massive Content Delivery Network (CDN) to push YouTube videos as close as possible to the endusers, both to improve their watching experience as well as to reduce the load on the core of the network, using dynamic server selection strategies. However, we show that such a...
Article
The ever-increasing number of mobile devices is heavily mod- ifying the traffic observed in cellular networks. From smart- phones and tablets to Machine-to-Machine (M2M) devices, the traffic volumes and patterns generated by end-user and M2M applications introduce novel challenges to cellular net- work operators. One of these relates to the detecti...
Conference Paper
YouTube is the most popular service in today's Internet. Google relies on its massive Content Delivery Network (CDN) to push YouTube videos as close as possible to the end-users to improve their Quality of Experience (QoE), using dynamic server selection strategies. Such traffic delivery policies can have a relevant impact on the traffic routed thr...
Conference Paper
YouTube is the most popular and volume-dominant service in today's Internet, and is changing the way ISPs manage their networks. Understanding the performance of YouTube traffic is paramount for ISPs, specially for mobile operators, who must handle the huge surge of traffic with the constraints and challenges of cellular networks. In this paper we...
Conference Paper
Today’s Internet traffic is largely dominated by major content providers and highly distributed Content Delivery Networks (CDNs). Internet-scale applications like Facebook and YouTube are served by large CDNs like Akamai and Google CDN, which push content as close to end-users as possible to improve the overall performance of the applications, mini...
Article
Full-text available
WhatsApp, the new giant in instant multimedia messaging in mobile networks is rapidly increasing its popularity, taking over the traditional SMS/MMS messaging. In this paper we present the first large-scale characterization of WhatsApp, useful among others to ISPs willing to understand the impacts of this and similar applications on their networks....
Conference Paper
Full-text available
Internet-scale services like YouTube are provisioned by large Content Delivery Networks (CDNs), which push content as close as possible to the end-users to improve their Quality of Experience (QoE) and to pursue their own optimization goals. Adopting space and time variant traffic delivery policies, CDNs serve users’ requests from multiple servers/c...
Conference Paper
Full-text available
Today’s Internet consists of massive scale web services and Content Delivery Networks (CDNs). This paper sheds light on the way major Internet-scale web services content is hosted and delivered. By analyzing a full month of HTTP traffic traces collected at the mobile network of a major European ISP, we characterize the paradigmatic case of Facebook,...
Conference Paper
YouTube is the most popular service in today’s Internet. Its own success forces Google to constantly evolve its functioning to cope with the ever growing number of users watching YouTube. Understanding the characteristics of YouTube’s traffic as well as the way YouTube flows are served from the massive Google CDN is paramount for ISPs, specially fo...
Conference Paper
YouTube is the most popular service in today’s Internet. Its own success forces Google to constantly evolve its functioning to cope with the ever growing number of users watching YouTube. Understanding the characteristics of YouTube’s traffic as well as the way YouTube flows are served from the massive Google CDN is paramount for ISPs, specially fo...
Conference Paper
Today’s Internet is dominated by HTTP services and Content Delivery Networks (CDNs). Popular web services like Facebook and YouTube are hosted by highly distributed CDNs like Akamai and Google. Understanding this new complex Internet scenario is paramount for network operators, to control the traffic on their networks and to improve the quality exp...
Conference Paper
Going back to the Internet of one decade ago, HTTP-based content and web services were provided by centralized or barely distributed servers. Single hosts providing exclusive services at fixed IP addresses was the standard approach. Current situation has drastically changed, and the mapping of IPs to different content and services is nowadays extre...
Conference Paper
The popularity of web-based services and multimedia applications like YouTube, Google Web Search, Facebook, and a bewildering range of Internet applications has taken HTTP back to the pole position on end-user traffic consumption. Today's Internet users exchange most of their content via HTTP. In this paper we address the problem of on-line HTTP tr...
Conference Paper
In this paper we demonstrate the potential of using cellular network signalling data to extract and analyse macro-mobility patterns. We show that, by properly processing anonymized signalling data passively collected from a cellular core network, our approach is able to catch crucial characteristics of wide-area mobility patterns. By means of simpl...
Conference Paper
Full-text available
The signaling traffic of a cellular network is rich of information related to the movement of devices across cell boundaries. Thus, passive monitoring of anonymized signaling traffic enables the observation of the devices' mobility patterns. This approach is intrinsically more powerful and accurate than previous studies based exclusively on Call Da...

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