By Günther Pernul, Peter Y A Ryan, Edgar Weippl

The two-volume set, LNCS 9326 and LNCS 9327 constitutes the refereed complaints of the 20 th ecu Symposium on learn in machine defense, ESORICS 2015, held in Vienna, Austria, in September 2015.

The fifty nine revised complete papers provided have been conscientiously reviewed and chosen from 298 submissions. The papers tackle matters corresponding to networks and internet safeguard; approach protection; crypto software and assaults; hazard research; privateness; cloud safety; protocols and attribute-based encryption; code research and side-channels; detection and tracking; authentication; regulations; and utilized security.

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Additional resources for Computer Security – ESORICS 2015: 20th European Symposium on Research in Computer Security, Vienna, Austria, September 21–25, 2015, Proceedings, Part II

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We illustrate the process in Fig. 5 and then elaborate the details below3 : 2 3 IME accepts another kind of input event – MotionEvent [12], coming from soft keyboard (see Fig. 1). Its processing flow is different and not covered in this paper. 1 [2]. For other versions, the flows are mostly the same. Only the paths of source code could be different. 26 1 2 3 4 5 6 7 8 9 10 W. Diao et al. = injectionState - > injectorUid ) && ! h a s I n j e c t i o n P e r m i s s i o n ( injectionState - > injectorPid , injectionState - > injectorUid ) ) { ...

For example, as shown in Fig. 3, two typed characters “ba” lead to different lists of suggested words. “bankruptcy” is the first suggestion in the upper picture while “banquet” is the first Fig. 3. Dynamic order adjustment suggestion in the lower one. – Contact Names Suggestion. IME can suggest a name from user’s phone contact when part of the name is typed. In addition, suggestions also pop up when an unknown name is typed for correction. The READ CONTACTS permission needs to be granted to support this feature.

Their basic information and the final results are shown in Table 4. All the participants installed a modified version of DicThief on their phones before the experiment. All 2-initial combinations are probed, counting up to 529 rounds (23 × 23 combinations, see Sect. 3). To address the privacy concerns of our human subjects, we did not collect any word entries from their phones. Instead, we asked them to report the type and quantity of personalized entries (calculated by DicThief). The detailed result is presented in two aspects: 1.

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