Titlebook: Computer Security – ESORICS 2017; 22nd European Sympos Simon N. Foley,Dieter Gollmann,Einar Snekkenes Conference proceedings 2017 Springer

翻布寻找

,A Traceability Analysis of Monero’s Blockchain,In light of our findings, we discuss mitigations to strengthen Monero against these attacks. We shared our findings with the Monero development team and the general community. This has resulted into several discussions and proposals for fixes.

痛恨

Practical Keystroke Timing Attacks in Sandboxed JavaScript,ck runs in a background tab, possibly in a minimized browser window, displaying a malicious online advertisement. We show that we can observe the exact inter-keystroke timings for a user’s PIN or password, infer URLs entered by the user, and distinguish different users time-sharing a computer. Our a

NAV

Throttle

Infusion

妨碍议事

LeaPS: Learning-Based Proactive Security Auditing for Clouds,ty auditing of cloud operations. We integrate LeaPS to OpenStack, a popular cloud platform, and perform extensive experiments in both simulated and real cloud environments that show a practical response time (e.g., 6 ms to audit a cloud of 100,000 VMs) and a significant improvement (e.g., about 50%

PAGAN

Identifying Multiple Authors in a Binary Program, level, our approach for identifying external template library code, and a new approach to capture correlations between the authors of basic blocks in a binary. Our experiments show strong evidence that programming styles can be recovered at the basic block level and it is practical to identify mult

亚当心理阴影

Secure IDS Offloading with Nested Virtualization and Deep VM Introspection,btain the internal state of target VMs inside the VM for running a virtualized system. We have implemented V-Met in Xen and confirmed that the performance of offloaded legacy IDSes was comparable to that in traditional IDS offloading.

nonplus

Privacy Implications of Room Climate Data,ing the set of actions allows to achieve even higher prediction rates. For example, we discriminate standing and walking occupants with 95.1% accuracy. Our results provide evidence that even the leakage of such ‘inconspicuous’ data as temperature and relative humidity can seriously violate privacy.

peak-flow