Titlebook: Data and Applications Security and Privacy XXXIV; 34th Annual IFIP WG Anoop Singhal,Jaideep Vaidya Conference proceedings 2020 IFIP Intern

Prophylaxis

Predictive Analytics to Prevent Voice over IP International Revenue Sharing Fraudwork in order to make expensive unauthorized phone calls on behalf of someone else. This results in massive phone bills that victims have to pay while number owners earn the money. Current anti-fraud solutions enable the detection of IRSF afterwards by detecting deviations in the overall caller’s ex

表被動

PUA Detection Based on Bundle Installer Characteristicsttempt to increase the application’s user base. When such applications also include functionalities which are added as a means of monetizing the applications and may cause inconvenience to the user or compromise the user’s privacy, they are referred to as potentially unwanted applications (PUAs). Co

IRS

Proactively Extracting IoT Device Capabilities: An Application to Smart Homesheir informational specifications to verify their potential threats, even before a device is installed. We apply our approach to the context of a smart home and evaluate its accuracy and efficiency on the devices from three different vendors.

Encumber

Inference-Proof Monotonic Query Evaluation and View Generation Reconsideredk, we carefully describe and inspect the underlying function and attack scenario and summarize and analyze basic approaches for controlled interactions within an abstract framework for epistemic states.

labile

fallible

Information Flow Security Certification for SPARK Programssensitive data. We also show how SPARK can be extended for realizing MLS systems that invariably need . through the illustration of an application of the method for security analysis of Needham-Schroeder public-key protocol.

chandel

agenda

手段

親密

Designing a Decision-Support Visualization for Live Digital Forensic Investigations