Works (4)

Updated: July 5th, 2023 15:45

2016 conference paper

AppShell: Making data protection practical for lost or stolen Android devices

Noms 2016 - 2016 ieee/ifip network operations and management symposium, 502–508.

By: Y. Zhou n, K. Singh & X. Jiang n

TL;DR: The proposed solution enables adaptive protection by pro-actively stepping up or stepping down data security based on perceived contextual risk of the device by transparently encrypting the data, and discarding the encryption key, when required, for enhanced protection. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2013 book

Android malware

By: X. Jiang n & Y. Zhou n

TL;DR: Android Malware presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform, covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2013 conference paper

Fast, scalable detection of "piggybacked" mobile applications

ACM Conference on Data and Application Security and Privacy, 185–195.

By: W. Zhou n, Y. Zhou n, M. Grace n, X. Jiang n & S. Zou*

TL;DR: This paper proposes a module decoupling technique to partition an app's code into primary and non-primary modules, and develops a feature fingerprint technique to extract various semantic features from primary modules and convert them into feature vectors. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2012 article

Dissecting Android Malware: Characterization and Evolution


By: Y. Zhou n & X. Jiang n

author keywords: Android malware; smartphone security
TL;DR: Systematize or characterize existing Android malware from various aspects, including their installation methods, activation mechanisms as well as the nature of carried malicious payloads reveal that they are evolving rapidly to circumvent the detection from existing mobile anti-virus software. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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