Výsledky vyhledávání - "Hojjat Aghakhani"

DEEPCASE

Autor: Thijs van Ede, Hojjat Aghakhani, Noah Spahn, Riccardo Bortolameotti, Marco Cova, Andrea Continella, Maarten van Steen, Andreas Peter, Christopher Kruegel, Giovanni Vigna

Publikováno v: 2022 IEEE Symposium on Security and Privacy (SP), 522-539
STARTPAGE=522;ENDPAGE=539;TITLE=2022 IEEE Symposium on Security and Privacy (SP)

Security monitoring systems detect potentially malicious activities in IT infrastructures, by either looking for known signatures or for anomalous behaviors. Security operators investigate these events to determine whether they pose a threat to their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d15d4075c29ced4fc9d284ff476a63
https://doi.org/10.1109/sp46214.2022.9833671

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One Size Does Not Fit All

Autor: Daniela Oliveira, Hojjat Aghakhani, Paulo Licio de Geus, Christopher Kruegel, André Grégio, Giovanni Vigna, Marcus Botacin, Stefano Ortolani

Publikováno v: ACM Transactions on Privacy and Security. 24:1-31

Malware analysis is an essential task to understand infection campaigns, the behavior of malicious codes, and possible ways to mitigate threats. Malware analysis also allows better assessment of attackers’ capabilities, techniques, and processes. A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a5b850c8003098961ac1f6c7175fe7e
https://doi.org/10.1145/3429741

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Bran: Reduce Vulnerability Search Space in Large Open Source Repositories by Learning Bug Symptoms

Autor: Priyanka Bose, Dongyu Meng, Andrea Continella, Christopher Kruegel, Hojjat Aghakhani, Aravind Machiry, Giovanni Vigna, Michele Guerriero

Publikováno v: ACM ASIA Conference on Computer and Communications Security (ASIACCS), 731-743
STARTPAGE=731;ENDPAGE=743;TITLE=ACM ASIA Conference on Computer and Communications Security (ASIACCS)
AsiaCCS

Software is continually increasing in size and complexity, and therefore, vulnerability discovery would benefit from techniques that identify potentially vulnerable regions within large code bases, as this allows for easing vulnerability detection by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c8d9b92650194ea2ef104113a9a1fb
https://doi.org/10.1145/3433210.3453115

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Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability

Autor: Christopher Kruegel, Hojjat Aghakhani, Yu-Xiang Wang, Giovanni Vigna, Dongyu Meng

Publikováno v: EuroS&P

A recent source of concern for the security of neural networks is the emergence of clean-label dataset poisoning attacks, wherein correctly labeled poison samples are injected into the training dataset. While these poison samples look legitimate to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d58214372327c57fa05d4b90fced23f7
http://arxiv.org/abs/2005.00191

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When Malware is Packin' Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features

Autor: Giovanni Vigna, Stefano Ortolani, Fabio Gritti, Davide Balzarotti, Francesco Mecca, Hojjat Aghakhani, Christopher Kruegel, Martina Lindorfer

Publikováno v: Network and Distributed System Security Symposium
Network and Distributed System Security Symposium, Feb 2020, San Diego, United States. ⟨10.14722/ndss.2020.24310⟩
NDSS
Proceedings 2020 Network and Distributed System Security Symposium

International audience; Machine learning techniques are widely used in addition to signatures and heuristics to increase the detection rate of anti-malware software, as they automate the creation of detection models, making it possible to handle an e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b3e11c78c4946da1e2b0e7aedc75339
https://hal.science/hal-04093553/document

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Neurlux: Dynamic Malware Analysis Without Feature Engineering

Autor: Chani Jindal, Christopher Kruegel, Keith Long, Christopher Salls, Giovanni Vigna, Hojjat Aghakhani

Publikováno v: ACSAC

Malware detection plays a vital role in computer security. Modern machine learning approaches have been centered around domain knowledge for extracting malicious features. However, many potential features can be used, and it is time consuming and dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba4665739bd867d26e680d403f584c1
http://arxiv.org/abs/1910.11376

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Lightning Talk - Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis

Autor: Shirin Nilizadeh, Giovanni Vigna, Eric Gustafson, Hojjat Aghakhani, Christopher Kruegel

Publikováno v: WWW (Companion Volume)

Many crowd-sourced review platforms, such as Yelp, TripAdvisor, and Foursquare, have sprung up to provide a shared space for people to write reviews and rate local businesses. With the substantial impact of businesses’ online ratings on their selli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f95f878424c8d1faf1cd95fa73b34e34
https://doi.org/10.1145/3308560.3316477

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Think Outside the Dataset

Autor: Christopher Kruegel, Hojjat Aghakhani, Giovanni Vigna, Eric Gustafson, Shirin Nilizadeh

Publikováno v: WWW

While online review services provide a two-way conversation between brands and consumers, malicious actors, including misbehaving businesses, have an equal opportunity to distort the reviews for their own gains. We propose OneReview, a method for loc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::617abf49b68c9c861f1afe17d815018b
https://doi.org/10.1145/3308558.3313647

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Integrating evolutionary game theory into an agent-based model of ductal carcinoma in situ: Role of gap junctions in cancer progression

Autor: Mohammad Hossein Zangooei, Negin Malekian, Jafar Habibi, Hojjat Aghakhani

Publikováno v: Computer Methods and Programs in Biomedicine. 136:107-117

The propagation of signals via gap junctions is modeled by using evolutionary game theory.Game theory payoffs are considered to be a function of cellular context.The results show the gap junction communication reduces cancer progression.The model ill

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac8b3a4854670191b9695452ac6f892
https://doi.org/10.1016/j.cmpb.2016.08.011

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