Master Thesis, Signaling Anomaly Detection

Job description

Ericsson Overview

Ericsson is a world-leading provider of telecommunications equipment & services to mobile & fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, & more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business & society, we are working towards the Networked Society, in which everything that can benefit from a connection will have one. At Ericsson, we apply our innovation to market-based solutions that empower people & society to help shape a more sustainable world.

We are truly a global company, working across borders in 175 countries, offering a diverse, performance-driven culture & an innovative & engaging environment where employees enhance their potential everyday. Our employees live our vision & core values. They share a passion to win & a high responsiveness to customer needs that in turn makes us a desirable partner to our clients. To ensure professional growth, Ericsson offers a stimulating work experience, continuous learning & growth opportunities that allow you to acquire the knowledge & skills necessary to reach your career goals.

We welcome the opportunity to meet you!

Thesis Assignment

Ericsson, as a major player in the mobile telecommunication market, has a keen interest in ensuring the security and performance of our customers' networks, and the systems we deliver and manage.
Traffic monitoring and analysis play an important role in identifying potentially harmful or malicious behavior.
Anomaly detection is one of the most useful techniques in this space, as evidenced by its success and popularity in the enterprise and IT market, mainly targeting IP networks.
Some of these anomaly detection tools can be readily applied for user-plane analysis in mobile networks as well, but similar tools and techniques are not yet (or only partially) developed for signaling traffic carried by the associated control-plane.

The goal of this thesis is to identify the most promising use cases and implement relevant techniques for Signaling Anomaly Detection in a "big data" environment based on Hadoop/YARN and Spark.
The main research question is whether or not early detection of malicious activity, such as the recent large-scale IoT botnet attacks,based only on signalling anomalies can be meaningfully achieved.

Desired profile

Position Qualifications

We are looking for a motivated MSc student with a keen interest in radio systems, security, and big data analytics, who has fulfilled their course requirements.

Thorough knowledge of standard coding concepts and good programming skills, as well as excellent spoken and written English are required.

Familiarity with the Linux operating system is assumed.

Candidates with demonstrated fluency in Scala, previous experience with Apache Hadoop and Spark, exposure to low-level radio protocols, or a background in statistical analysis will be given preference.

Minimum Qualifications & Experience Requirements:

·  MSc level in a technical discipline or the equivalent level of knowledge
·  Good English Skills

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.

Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.

Primary country and city: Sweden (SE) || || Stockholm || Stud&YP

Req ID: 193512