Cyber threat intelligence mining for proactive cybersecurity defense: a survey and new perspectives
Today's cyber attacks have become more severe and frequent, which calls for a new line of
security defenses to protect against them. The dynamic nature of new-generation threats …
security defenses to protect against them. The dynamic nature of new-generation threats …
Demystifying IoT security: An exhaustive survey on IoT vulnerabilities and a first empirical look on Internet-scale IoT exploitations
The security issue impacting the Internet-of-Things (IoT) paradigm has recently attracted
significant attention from the research community. To this end, several surveys were put …
significant attention from the research community. To this end, several surveys were put …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
A comprehensive survey of recent internet measurement techniques for cyber security
MS Pour, C Nader, K Friday, E Bou-Harb - Computers & Security, 2023 - Elsevier
As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …
vulnerable to its security flaws. Despite substantial efforts to address many of these …
State-of-the-art survey of artificial intelligent techniques for IoT security
TA Ahanger, A Aljumah, M Atiquzzaman - Computer Networks, 2022 - Elsevier
The data protection problem concerning the Internet of Things (IoT) paradigm has drawn the
innovation community's considerable attention. Several surveys have covered different IoT …
innovation community's considerable attention. Several surveys have covered different IoT …
[HTML][HTML] Cybercrime threat intelligence: A systematic multi-vocal literature review
Significant cybersecurity and threat intelligence analysts agree that online criminal activity is
increasing exponentially. To offer an overview of the techniques and indicators to perform …
increasing exponentially. To offer an overview of the techniques and indicators to perform …
Defense mechanisms against DDoS attacks in a cloud computing environment: State-of-the-art and research challenges
N Agrawal, S Tapaswi - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
The salient features of cloud computing (such as on-demand self-service, resource pooling,
broad network access, rapid elasticity, and measured service) are being exploited by …
broad network access, rapid elasticity, and measured service) are being exploited by …
Didarknet: A contemporary approach to detect and characterize the darknet traffic using deep image learning
Darknet traffic classification is significantly important to categorize real-time applications.
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
Although there are notable efforts to classify darknet traffic which rely heavily on existing …
Target detection of forward-looking sonar image based on improved YOLOv5
H Zhang, M Tian, G Shao, J Cheng, J Liu - IEEE Access, 2022 - ieeexplore.ieee.org
Forward-looking sonar is a commonly used underwater detection device at present, but the
detection accuracy is poor due to the complex underwater environment, small target …
detection accuracy is poor due to the complex underwater environment, small target …
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
J Lan, X Liu, B Li, Y Li, T Geng - Computers & Security, 2022 - Elsevier
Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …
defensing cyber crimes. Although notable research efforts have been dedicated to …