Biblio

Filters: Author is Rauti, Sampsa  [Clear All Filters]
2017-10-13
Mäki, Petteri, Rauti, Sampsa, Hosseinzadeh, Shohreh, Koivunen, Lauri, Leppänen, Ville.  2016.  Interface Diversification in IoT Operating Systems. Proceedings of the 9th International Conference on Utility and Cloud Computing. :304–309.

With the advancement of Internet in Things (IoT) more and more "things" are connected to each other through the Internet. Due to the fact that the collected information may contain personal information of the users, it is very important to ensure the security of the devices in IoT. Diversification is a promising technique that protects the software and devices from harmful attacks and malware by making interfaces unique in each separate system. In this paper we apply diversification on the interfaces of IoT operating systems. To this aim, we introduce the diversification in post-compilation and linking phase of the software life-cycle, by shuffling the order of the linked objects while preserving the semantics of the code. This approach successfully prevents malicious exploits from producing adverse effects in the system. Besides shuffling, we also apply library symbol diversification method, and construct needed support for it e.g. into the dynamic loading phase. Besides studying and discussing memory layout shuffling and symbol diversification as a security measures for IoT operating systems, we provide practical implementations for these schemes for Thingsee OS and Raspbian operating systems and test these solutions to show the feasibility of diversification in IoT environments.

2017-09-15
Laurén, Samuel, Rauti, Sampsa, Leppänen, Ville.  2016.  An Interface Diversified Honeypot for Malware Analysis. Proccedings of the 10th European Conference on Software Architecture Workshops. :29:1–29:6.

Defending information systems against advanced attacks is a challenging task; even if all the systems have been properly updated and all the known vulnerabilities have been patched, there is still the possibility of previously unknown zero day attack compromising the system. Honeypots offer a more proactive tool for detecting possible attacks. What is more, they can act as a tool for understanding attackers intentions. In this paper, we propose a design for a diversified honeypot. By increasing variability present in software, diversification decreases the number of assumptions an attacker can make about the target system.