A comprehensive survey on deep learning based malware detection techniques
M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
A survey of android malware detection with deep neural models
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …
security research. Deep learning models have many advantages over traditional Machine …
Location privacy-preserving mechanisms in location-based services: A comprehensive survey
Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …
A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
[HTML][HTML] DL-Droid: Deep learning based android malware detection using real devices
The Android operating system has been the most popular for smartphones and tablets since
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
A survey on encrypted network traffic analysis applications, techniques, and countermeasures
E Papadogiannaki, S Ioannidis - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …
encryption protocols to secure communications and protect the privacy of users. In addition …
Computation offloading toward edge computing
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …
everyday. However, these devices are constrained by the battery and computational …
A multimodal deep learning method for android malware detection using various features
With the widespread use of smartphones, the number of malware has been increasing
exponentially. Among smart devices, android devices are the most targeted devices by …
exponentially. Among smart devices, android devices are the most targeted devices by …
A private and efficient mechanism for data uploading in smart cyber-physical systems
To provide fine-grained access to different dimensions of the physical world, the data
uploading in smart cyber-physical systems suffers novel challenges on both energy …
uploading in smart cyber-physical systems suffers novel challenges on both energy …
Angora: Efficient fuzzing by principled search
P Chen, H Chen - 2018 IEEE Symposium on Security and …, 2018 - ieeexplore.ieee.org
Fuzzing is a popular technique for finding software bugs. However, the performance of the
state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution …
state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution …