ORGANISATION/COMPANYDelft University of Technology
RESEARCH FIELDComputer science › InformaticsEconomics › EconometricsEngineering › Computer engineeringMathematics › Applied mathematicsTechnology › Telecommunications technology
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE30/11/2018 23:00 - Europe/Brussels
LOCATIONNetherlands › Delft
TYPE OF CONTRACTTemporary
HOURS PER WEEK38
OFFER STARTING DATE01/01/2019
The insecurity of Internet-connected Internet-of-Things (IoT) devices poses a major security risk to critical Internet infrastructure. These IoT devices are often inadequately protected leading to substantial damage. Currently, the IoT has enabled devices that previously lacked communication capabilities to be controlled and openly accessible through the Internet. The great bulk of these devices do not only lack of adequate security controls but also cannot be updated. Until vendors start manufacturing IoT devices with security in mind, it is important for network operators to have tools available to detect intrusion attempts and infected devices before they participate in a DDoS attack or other malicious activity. In addition to the technical aspects, there are also economic forces at play which are incentivizing profit motivated attackers to infect large numbers of IoT devices and rent out the resulting botnets for DDoS attacks. Understanding the economics behind IoT botnets and structure of intermediaries they depend on (i.e. anti-DDoS services, customer support, hosting, and payment processors) might illuminate bottlenecks in the operation that lead to effective non-technical or hybrid approaches for mitigating profit-fueled IoT-based DDoS services.
During this thesis, the PhD student will partner with the Dutch registry and New York University to design, build, and evaluate practical techniques and tools for mitigating the threat from IoT powered DDoS attacks.
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home, and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.phd.tudelft.nl for more information.
For more information about this position, please contact Dr. Carlos H Ganan, email: email@example.com. To apply, please e-mail a detailed CV along with your academic transcripts and a letter of application to the same email address.
As part of the cybersecurity group within TU Delft we offer:
an international, dynamic and multicultural working environment at one of the best universities in Europe,
the opportunity to develop know-how and expertise in state-of-the-art technologies,
support in the further development of your competences to analyze strategic research problems and to design, develop, and evaluate innovative solutions with industrial applicability,
a stimulating context to build up research and innovation skills that are essential for a future career in industrial as well as academic R&D environments.
REQUIRED EDUCATION LEVELTechnology: Master Degree or equivalent
REQUIRED LANGUAGESENGLISH: Excellent
- Hold a Master’s degree in Computer Science, Data Science, Engineering or related field.
- Preferably with a strong background in one of the following topics:
- Networks or telematics
- Data mining, machine learning, and security protocols for them
- Ability to collaborate within an interdisciplinary team
- Excellent communication skills (oral, written, presentation)
- Capacity to generate new ideas, concepts, and solutions
- Programming skills in Python is a plus
- Latex scientific writing is a plus
- Relevant experience in IoT-related R&D activities is a plus
- Have an excellent command of English
EURAXESS offer ID: 281682
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