Over the past decade, high performance computational (HPC) clusters have become mainstream in academic and industrial settings as accessible means of computation. Throughout their proliferation, HPC security has been a secondary concern to performance. It is evident, however, that ensuring HPC security presents different challenges than the ones faced when dealing with traditional networks. To design suitable security measures for high performance computing, it is necessary to first realize the threats faced by such an environment. This task can be accomplished by the means of constructing a comprehensive threat model. To our knowledge, no such threat model exists with regards to Cluster Computing. In this paper, we explore the unique challenges of securing HPCs and propose a threat model based on the classical Confidentiality, Integrity and Availability security principles.
Serverless computing is the latest paradigm in cloud computing, offering a framework for the development of event driven, pay-as-you-go functions in a highly scalable environment. While these traits offer a powerful new development paradigm, they have also given rise to a new form of cyber-attack known as Denial of Wallet (forced financial exhaustion). In this work, we define and identify the threat of Denial of Wallet and its potential attack patterns. Also, we demonstrate how this new form of attack can potentially circumvent existing mitigation systems developed for a similar style of attac…
With the proliferation of smart devices and revolutions in communications, electrical distribution systems are gradually shifting from passive, manually-operated and inflexible ones, to a massively interconnected cyber-physical smart grid to address the energy challenges of the future. However, the integration of several cutting-edge technologies has introduced several security and privacy vulnerabilities due to the large-scale complexity and resource limitations of deployments. Recent research trends have shown that False Data Injection (FDI) attacks are becoming one of the most malicious cyb…
In this work, we defined an attack vector for networks utilizing the Internet of Medical Things (IoMT) devices and compute the probability distribution of IoMT security threats based on Markov chain and Common Vulnerability Scoring System (CVSS). IoMT is an emerging technology that improves patients' quality of life by permitting personalized e-health services without restrictions on time and site. The IoMT consists of embedded objects, sensors, and actuators that transmit and receive medical data. These Medical devices are vulnerable to different types of security threats, and thus, they pose…
MH-1M: A 1.34 Million-Sample Comprehensive Multi-Feature Android Malware Dataset for Machine Learning, Deep Learning, Large Language Models, and Threat Intelligence Research
Federal University of Amazonas（亚马逊联邦大学）；Institute of Computing（计算学院）；Federal University of Pampa（帕姆帕联邦大学）；AI Horizon Labs（AI地平线实验室）
Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
State Key Laboratory of Mathematical Engineering and Advanced Computing（数学工程与先进计算国家重点实验室）；Information Engineering University（信息工程大学）；Henan Key Laboratory of Information Security（河南省信息安全重点实验室）；University of Chinese Academy of Sciences（中国科学院大学）
Industrial Internet of Things (IIoT) application provide a whole new set of possibilities to drive efficiency of industrial production forward. However, with the higher degree of integration among systems, comes a plethora of newthreats to the latter, as they are not yet designed to be broadly reachable and interoperable. To mitigate these vast amount of new threats, systematic and automated test methods are necessary. This comprehensiveness can be achieved by thorough threat modeling. In order to automate security test, we present an approach to automate the testing process from threat modeli…
ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance
College of Computer Science and Technology, Zhejiang University of Technology（浙江工业大学计算机科学与技术学院）；College of Geoinformatics, Zhejiang University of Technology（浙江工业大学地理信息学院）
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
School of Cyber Science and Engineering, Southeast University（电子科技大学信息与通信工程学院）；Data61, CSIRO（数据61，CSIRO）；Zhejiang Laboratory（浙江省实验室）；school of Computer Science and Artificial Intelligence, Wuhan University of Technology（计算机科学与人工智能学院，武汉理工大学）；College of Computing and Data Science, Nanyang Technological University（计算科学与数据科学学院，南洋理工大学）
Since the 2004 DARPA Grand Challenge, the autonomous driving technology has witnessed nearly two decades of rapid development. Particularly, in recent years, with the application of new sensors and deep learning technologies extending to the autonomous field, the development of autonomous driving technology has continued to make breakthroughs. Thus, many carmakers and high-tech giants dedicated to research and system development of autonomous driving. However, as the foundation of autonomous driving, the deep learning technology faces many new security risks. The academic community has propose…
In recent years, there has been a growing concern with software integrity, that is, the assurance that software has not been tampered with on the path between developers and users. This path is represented by a software development pipeline and plays a pivotal role in software supply chain security. While there have been efforts to improve the security of development pipelines, there is a lack of a comprehensive view of the threats affecting them. We develop a systematic threat model for a generic software development pipeline using the STRIDE framework and identify possible mitigations for ea…
Owing to recorded incidents of Information technology inclined organisations failing to respond effectively to threat incidents, this project outlines the benefits of conducting a comprehensive risk assessment which would aid proficiency in responding to potential threats. The ultimate goal is primarily to identify, quantify and control the key threats that are detrimental to achieving business objectives. This project carries out a detailed risk assessment for a case study organisation. It includes a comprehensive literature review analysing several professional views on pressing issues in In…
Threat emulators are tools or sets of scripts that emulate cyber attacks or malicious behavior. They can be used to create and launch single procedure attacks and multi-step attacks; the resulting attacks may be known or unknown cyber attacks. The motivation for using threat emulators varies and includes the need to perform automated security audits in organizations or reduce the size of red teams in order to lower pen testing costs; or the desire to create baseline tests for security tools under development or supply pen testers with another tool in their arsenal. In this paper, we review and…
The sophistication and complexity of cyber attacks and the variety of targeted platforms have been growing in recent years. Various adversaries are abusing an increasing range of platforms, e.g., enterprise platforms, mobile phones, PCs, transportation systems, and industrial control systems. In recent years, we have witnessed various cyber attacks on transportation systems, including attacks on ports, airports, and trains. It is only a matter of time before transportation systems become a more common target of cyber attackers. Due to the enormous potential damage inherent in attacking vehicle…
