A survey of app store analysis for software engineering
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …
stores provide a wealth of information derived from users that would not exist had the …
Toward engineering a secure android ecosystem: A survey of existing techniques
The openness and extensibility of Android have made it a popular platform for mobile
devices and a strong candidate to drive the Internet-of-Things. Unfortunately, these …
devices and a strong candidate to drive the Internet-of-Things. Unfortunately, these …
Droiddetector: android malware characterization and detection using deep learning
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android
has been the most popular mobile operating system since 2012. However, owing to the …
has been the most popular mobile operating system since 2012. However, owing to the …
Acing the ioc game: Toward automatic discovery and analysis of open-source cyber threat intelligence
To adapt to the rapidly evolving landscape of cyber threats, security professionals are
actively exchanging Indicators of Compromise (IOC)(eg, malware signatures, botnet IPs) …
actively exchanging Indicators of Compromise (IOC)(eg, malware signatures, botnet IPs) …
{SmartAuth}:{User-Centered} authorization for the internet of things
Internet of Things (IoT) platforms often require users to grant permissions to third-party apps,
such as the ability to control a lock. Unfortunately, because few users act based upon, or …
such as the ability to control a lock. Unfortunately, because few users act based upon, or …
Mining apps for abnormal usage of sensitive data
V Avdiienko, K Kuznetsov, A Gorla… - 2015 IEEE/ACM 37th …, 2015 - ieeexplore.ieee.org
What is it that makes an app malicious? One important factor is that malicious apps treat
sensitive data differently from benign apps. To capture such differences, we mined 2,866 …
sensitive data differently from benign apps. To capture such differences, we mined 2,866 …
Ttpdrill: Automatic and accurate extraction of threat actions from unstructured text of cti sources
With the rapid growth of the cyber attacks, sharing of cyber threat intelligence (CTI) becomes
essential to identify and respond to cyber attack in timely and cost-effective manner …
essential to identify and respond to cyber attack in timely and cost-effective manner …
Extractor: Extracting attack behavior from threat reports
The knowledge on attacks contained in Cyber Threat Intelligence (CTI) reports is very
important to effectively identify and quickly respond to cyber threats. However, this …
important to effectively identify and quickly respond to cyber threats. However, this …
Towards the detection of inconsistencies in public security vulnerability reports
Public vulnerability databases such as Common Vulnerabilities and Exposures (CVE) and
National Vulnerability Database (NVD) have achieved a great success in promoting …
National Vulnerability Database (NVD) have achieved a great success in promoting …
A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …
escalation in the number and sophistication of the security threats targeted at mobile …