A dynamic taint tracking optimized fuzz testing method based on multi-modal sensor data fusion

Abstract

The safety of the Industrial Internet Control Systems has been a hotspot in the information security. To meet the needs of communication, a large variety of proprietary protocols have emerged in the field of industrial control. The protocol field is often trusted in the implementation of industrial control terminal code. If attackers modify the data of these fields using the protocol defect, the operation of the program can be controlled and the entire system will be affected. To cope with such security threats, academia and industry generally adopt fuzz test methods. However, the current industrial control protocol fuzz test methods generally have low code coverage, where unified description models are missing and test cases are not targeted. A method of fuzzification processing combined with dynamic multimodal sensor communication data is proposed. To track the program execution, the dynamic pollution analysis is used to search for the input fields that affect the execution of the conditional branch and capture the dependencies between the conditional branches to guide the grammar generation of test cases, which can increase the chances of executing deep code. The experimental results show that the proposed method improves the validity and code coverage of test cases to a certain extent and greatly increases the probability of anomaly detection in the protocol implementation.

The Application of Multimedia Information Fusion Technology in the Construction of University Intelligent Libraries

“…First, colleges and universities should adopt an inclusive learning attitude, actively study and learn from the excellent experience in the construction of intelligent libraries in colleges and universities at home and abroad, pay attention to the parallel development of software and hardware in the construction of college libraries, pay attention to the construction of spiritual culture, and achieve green, sustainable development (Fu & Yang, 2017;Li et al, 2020). Second, in response to funding issues, colleges and universities should "open source and reduce expenditure."…”

Assistive Multimodal Robotic System (AMRSys): Security and Privacy Issues, Challenges, and Possible Solutions

“…It can even recognize content through a mix of inference and combinatorial search techniques. Other processes such as fuzzification in combination with dynamic multimodal sensor communication improve the probability of anomaly detection, as highlighted in [30]; while the work of [31] designed an active multimodal sensor to recognize, track, and incorporate the visibility of an infrared unit with a hyperspectral sensor, which could all but eliminate ambiguous recognition. Other authors, such as in [32], addressed simultaneous tracking and recognition of people within the robot sensing range and integrated with leg and face detection.…”

Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing

“…For a single redundancy architecture, the expected transformation period is always shorter than the time taken for an attack to succeed [34][35][36][37][38]. It is as same as multi redundancy architecture.…”