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The Malware as a Service Ecosystem
The goal of this chapter is to illuminate the operational frameworks, key actors, and significant cybersecurity implications of the Malware as a Service (MaaS) ecosystem. Highlighting the transformation of malware proliferation into a service-oriented model, the chapter discusses how MaaS democratises access to sophisticated cyberattack capabilities ...
Patsakis, Constantinos +2 more
openaire +2 more sources
CSMC: A Secure and Efficient Visualized Malware Classification Method Inspired by Compressed Sensing
SensorsWith the rapid development of the Internet of Things (IoT), the sophistication and intelligence of sensors are continually evolving, playing increasingly important roles in smart homes, industrial automation, and remote healthcare.
Wei Wu +3 more
doaj +1 more source
HoneyBow:an automated malware collection tool based on the high-interaction honeypot principle
Tongxin xuebao, 2007 Malware has become one of the severest threats to the public Internet.To deal with the malware breakout ef-fectively as early as possible,an automated malware collection solution must be implemented as a precondition.An automated malware collection tool ...
ZHUGE Jian-wei1 +5 more
doaj +2 more sources
Android malware family classification based on resource consumption over time
, 2017 The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years.
Baldoni, R. +17 more
core +1 more source
Android Applications Security [PDF]
The use of smartphones worldwide is growing very fast and also the malicious attacks have increased. The mobile security applications development keeps the pace with this trend. The paper presents the vulnerabilities of mobile applications.
Paul POCATILU
core
En la actualidad, los emprendedores de la ciudad de Ambato se encuentran en una creciente dependencia de los dispositivos móviles para llevar a cabo sus operaciones comerciales.
Chacha Chadan, Édgar Fabricio
core +1 more source
Clustering android malware families by Http traffic
, 2015 Due to its popularity and open-source nature, Android is the mobile platform that has been targeted the most by malware that aim to steal personal information or to control the users??? devices. More specifically, mobile botnets are malware that allow an
Davide Maiorca +9 more
core +1 more source
Malware diffusion models for modern complex networks : theory and applications /
Malware Diffusion Models for Wireless Complex Networks: Theory and Applications provides a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators. As the proliferation of
Karyotis, Vasileios,author. +1 more
core
Detecting Self-Mutating Malware Using Control-Flow Graph Matching
, 2006 Next generation malware will by be characterized by the intense use of polymorphic and metamorphic techniques aimed at circumventing the current malware detectors, based on pattern matching. In order to deal with this new kind of threat, novel techniques
M. Monga +5 more
core +1 more source
Democratizing Generic Malware Unpacking
3038A significant obstacle to efficient analysis of malware are packers that encrypt or otherwise obfuscate malicious code. However, despite the prominence of packers, the research field about their countermeasures, i.e.
Jenke, Thorsten +5 more
core +1 more source