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Maliciously prepared software packages are an extensively leveraged weapon for software supply chain attacks. The detection of malicious packages is undoubtedly of high priority and many academic and commercial approaches have been…

Cryptography and Security · Computer Science 2025-05-13 Marc Ohm , Timo Pohl , Felix Boes

Machine learning has proved invaluable for a range of different tasks, yet it also proved vulnerable to evasion attacks, i.e., maliciously crafted perturbations of input data designed to force mispredictions. In this paper we propose a…

Machine Learning · Computer Science 2020-07-07 Stefano Calzavara , Pietro Ferrara , Claudio Lucchese

Despite the massive investments in information security technologies and research over the past decades, the information security industry is still immature. In particular, the prioritization of remediation efforts within vulnerability…

Cryptography and Security · Computer Science 2019-08-15 Jay Jacobs , Sasha Romanosky , Benjamin Edwards , Michael Roytman , Idris Adjerid

Embedded software is developed under the assumption that hardware execution is always correct. Fault attacks break and exploit that assumption. Through the careful introduction of targeted faults, an adversary modifies the control-flow or…

Cryptography and Security · Computer Science 2020-03-25 Bilgiday Yuce , Patrick Schaumont , Marc Witteman

Malware detection is an ever-present challenge for all organizational gatekeepers, who must maintain high detection rates while minimizing interruptions to the organization's workflow. To improve detection rates, organizations often deploy…

Cryptography and Security · Computer Science 2020-05-21 Yoni Birman , Shaked Hindi , Gilad Katz , Asaf Shabtai

A software supply chain attack is characterized by the injection of malicious code into a software package in order to compromise dependent systems further down the chain. Recent years saw a number of supply chain attacks that leverage the…

Cryptography and Security · Computer Science 2020-05-20 Marc Ohm , Henrik Plate , Arnold Sykosch , Michael Meier

Proof-of-concept exploits help demonstrate software vulnerability beyond doubt and communicate attacks to non-experts. But exploits can be configuration-specific, for example when in Security APIs, where keys are set up specifically for the…

Cryptography and Security · Computer Science 2024-10-03 Robert Künnemann , Julian Biehl

Recent research has revealed an ever-growing class of microarchitectural attacks that exploit speculative execution, a standard feature in modern processors. Proposed and deployed countermeasures involve a variety of compiler updates,…

Cryptography and Security · Computer Science 2022-08-17 Jan Philipp Thoma , Jakob Feldtkeller , Markus Krausz , Tim Güneysu , Daniel J. Bernstein

Malicious websites are a major cyber attack vector, and effective detection of them is an important cyber defense task. The main defense paradigm in this regard is that the defender uses some kind of machine learning algorithms to train a…

Cryptography and Security · Computer Science 2014-08-12 Li Xu , Zhenxin Zhan , Shouhuai Xu , Keyin Ye

Penetration testing is an essential means of proactive defense in the face of escalating cybersecurity incidents. Traditional manual penetration testing methods are time-consuming, resource-intensive, and prone to human errors. Current…

Cryptography and Security · Computer Science 2024-09-24 Yunfei Ge , Quanyan Zhu

We propose a new formal criterion for evaluating secure compilation schemes for unsafe languages, expressing end-to-end security guarantees for software components that may become compromised after encountering undefined behavior---for…

Software diversity protects against a modern-day exploits such as code-reuse attacks. When an attacker designs a code-reuse attack on an example executable, it relies on replicating the target environment. With software diversity, the…

Programming Languages · Computer Science 2013-12-16 Michael Stewart

The Software Supply Chain (SSC) has captured considerable attention from attackers seeking to infiltrate systems and undermine organizations. There is evidence indicating that adversaries utilize Social Engineering (SocE) techniques…

Malware is a security threat, and various means are adapted to detect and block them. In this paper, we demonstrate a method where malware can evade malware analysis. The method is based on single-step reverse execution of code using the…

Cryptography and Security · Computer Science 2021-11-30 Adhokshaj Mishra , Animesh Roy , Manjesh Kumar Hanawal

Securing enterprise networks presents challenges in terms of both their size and distributed structure. Data required to detect and characterize malicious activities may be diffused and may be located across network and endpoint devices.…

Protecting state-of-the-art AI-based cybersecurity defense systems from cyber attacks is crucial. Attackers create adversarial examples by adding small changes (i.e., perturbations) to the attack features to evade or fool the deep learning…

Cryptography and Security · Computer Science 2025-08-28 Manabu Hirano , Ryotaro Kobayashi

Open source code is considered a common practice in modern software development. However, reusing other code allows bad actors to access a wide developers' community, hence the products that rely on it. Those attacks are categorized as…

Cryptography and Security · Computer Science 2022-09-19 Chen Tsfaty , Michael Fire

In the automotive security sector, the absence of a testing platform that is configurable, practical, and user-friendly presents considerable challenges. These difficulties are compounded by the intricate design of vehicle systems, the…

Cryptography and Security · Computer Science 2024-04-04 Sekar Kulandaivel , Wenjuan Lu , Brandon Barry , Jorge Guajardo

Package managers have become a vital part of the modern software development process. They allow developers to reuse third-party code, share their own code, minimize their codebase, and simplify the build process. However, recent reports…

Cryptography and Security · Computer Science 2020-12-03 Ruian Duan , Omar Alrawi , Ranjita Pai Kasturi , Ryan Elder , Brendan Saltaformaggio , Wenke Lee

Malware classifiers are subject to training-time exploitation due to the need to regularly retrain using samples collected from the wild. Recent work has demonstrated the feasibility of backdoor attacks against malware classifiers, and yet…

Cryptography and Security · Computer Science 2022-02-14 Limin Yang , Zhi Chen , Jacopo Cortellazzi , Feargus Pendlebury , Kevin Tu , Fabio Pierazzi , Lorenzo Cavallaro , Gang Wang
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