Results 1 to 10 of about 204,051 (262)
Security Responses in Software Development [PDF]
The pressure on software developers to produce secure software has never been greater. But what does security look like in environments that do not produce security-critical software? In answer to this question, this multi-sited ethnographic study characterizes security episodes and identifies five typical behaviors in software development.
Tamara Lopez +5 more
openaire +3 more sources
A crucial area of study in data mining is outlier detection, particularly in the areas of network security, credit card fraud detection, industrial flaw detection, etc.
Yuehua Huang +4 more
doaj +1 more source
Modern and flexible application-level software platforms increase the attack surface of connected vehicles and thereby require automotive engineers to adopt additional security control techniques. These techniques encompass host-based intrusion detection
David Schubert +2 more
doaj +1 more source
Analysis of identifiers in IoT platforms
The Internet of Things (IoT) provides new opportunities for different IoT platforms connecting various devices together. The need to identify those devices is the foremost important to perform any kind of operation. Many organizations and standard bodies
Haris Aftab +5 more
doaj +1 more source
Security and Independence of Process Safety and Control Systems in the Petroleum Industry
The developments of reduced manning on offshore facilities and increased information transfer from offshore to land continue and may also be a prerequisite for the future survival of the oil and gas industry.
Tor Onshus +8 more
doaj +1 more source
Speech Emotion Recognition TSTNet Based on Spatial-temporal Features [PDF]
For differences in tone, pitch, speaking speed, etc. of social speech and information loss or redundancy during filling, a speech emotional recognition method was proposed based on spatial-temporal features.
Xue Junxiao +4 more
doaj +1 more source
An Optimized Black-Box Adversarial Simulator Attack Based on Meta-Learning
Much research on adversarial attacks has proved that deep neural networks have certain security vulnerabilities. Among potential attacks, black-box adversarial attacks are considered the most realistic based on the the natural hidden nature of deep ...
Zhiyu Chen +7 more
doaj +1 more source
Test Data Generation for Stateful Network Protocol Fuzzing Using a Rule-Based State Machine
To improve the efficiency and coverage of stateful network protocol fuzzing, this paper proposes a new method, using a rule-based state machine and a stateful rule tree to guide the generation of fuzz testing data.
Rui Ma +4 more
doaj +1 more source
Formulating cryptographic definitions to protect against software piracy is an important research direction that has not received much attention. Since natural definitions using classical cryptography are impossible to achieve (as classical programs can always be copied), this directs us towards using techniques from quantum computing. The seminal work
Prabhanjan Ananth, Rolando L. La Placa
openaire +2 more sources
Semi-valid Fuzz Testing Case Generation for Stateful Network Protocol
Network protocols are divided into stateless and stateful. Stateful network protocols have complex communication interactions and state transitions. However, the existing network protocol fuzzing does not support state transitions very well.
Rui Ma +4 more
doaj +1 more source

