Indicators of Compromise (IOCs) are forensic artifacts that are used as signs that a system has been compromised by an attack or that it has been infected with a particular malicious software. In this paper we propose for the first time an automated technique to extract and validate IOCs for web applications, by analyzing the information collected by a high-interaction honeypot.

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Airline websites are the victims of unauthorised online travel agencies and aggregators that use armies of bots to scrape prices and flight information. These so-called Advanced Persistent Bots (APBs) are highly sophisticated. On top of the valuable information taken away, these huge quantities of requests consume a very substantial amount of resources on the airlines' websites. In this work, we propose a deceptive approach to counter scraping bots. We present a platform capable of mimicking airlines' sites changing prices at will. We provide results on the case studies we performed with it. We have lured bots for almost 2 months, fed them with indistinguishable inaccurate information. Studying the collected requests, we have found behavioural patterns that could be used as complementary bot detection. Moreover, based on the gathered empirical pieces of evidence, we propose a method to investigate the claim commonly made that proxy services used by web scraping bots have millions of residential IPs at their disposal. Our mathematical models indicate that the amount of IPs is likely 2 to 3 orders of magnitude smaller than the one claimed. This finding suggests that an IP reputation-based blocking strategy could be effective, contrary to what operators of these websites think today.

In multiphase Wireless Sensor Networks (WSNs), sensor nodes are redeployed periodically to replace nodes with depleted batteries. In order to keep the network resilient against node capture attacks across different deployment epochs, called generations, it is necessary to refresh the key pools from which cryptographic keys are distributed. In this thesis, we propose Uneven Key Predistribution (UKP) scheme that uses multiple different key pools at each generation. Keys are drawn unevenly from these key pools and loaded to sensor nodes prior to deployment. Nodes are loaded with keys not only from their current generation, but also from future generations. We conduct simulation based performance evaluation in mobile environments using three different mobility models. One of them, Circular Move Mobility model, is first proposed in this thesis. Our UKP scheme provides self healing that improves the resiliency of the network up to 50% under heavy attack as compared to an existing scheme in the literature. Moreover, our scheme provides almost perfect local and global connectivity.