Predictive Model for Exploit Kit based Attacks

Slim Trabelsi; Skander Ben Mahmoud; Anis Zouaoui

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Paper

Predictive Model for Exploit Kit based Attacks

Topics: Security and Privacy in Social Networks

In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 0ICETE, 477-482, 2016 , Lisbon, Portugal

Authors: Slim Trabelsi ¹ ; Skander Ben Mahmoud ¹ and Anis Zouaoui ²

Affiliations: ¹ SAP Security Research, France ; ² ESPRIT, Tunisia

Keyword(s): Cybersecurity, Predictive, Exploit, Attack, Hacking, Vulnerabilities, Social Media.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Information and Systems Security ; Security and Privacy in Social Networks

Abstract: Exploit kits are becoming frequently used to generate attacks against systems and software components. These exploit kits are really popular among the non-expert community (script kiddies) and are publicly available on Social Medias. In this paper we demonstrate how this popularity of such exploit kits on social media can impact the severity of the attacks generated from these tools. We propose we propose a new predictive model to estimate in advance the possible attacks that could be generated from trendy kits.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Trabelsi, S.; Mahmoud, S. and Zouaoui, A. (2016). Predictive Model for Exploit Kit based Attacks. In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT; ISBN 978-989-758-196-0; ISSN 2184-3236, SciTePress, pages 477-482. DOI: 10.5220/0005999904770482

@conference{secrypt16,
author={Slim Trabelsi. and Skander Ben Mahmoud. and Anis Zouaoui.},
title={Predictive Model for Exploit Kit based Attacks},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT},
year={2016},
pages={477-482},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005999904770482},
isbn={978-989-758-196-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT
TI - Predictive Model for Exploit Kit based Attacks
SN - 978-989-758-196-0
IS - 2184-3236
AU - Trabelsi, S.
AU - Mahmoud, S.
AU - Zouaoui, A.
PY - 2016
SP - 477
EP - 482
DO - 10.5220/0005999904770482
PB - SciTePress