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Graph neural network‐based attack prediction for communication‐based train control systems
CAAI Transactions on Intelligence Technology, EarlyView.Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
Fighting fire with fire – a Pre-emptive approach to restore control over IT assets from malware infection [PDF]
, 2012 Malware is a major threat as they induce multiple risks to infected organizations. Current Anti-Malware solutions meant to keep Malware away are challenged on how to keep the risks at bay effectively. When a Malware manages to penetrate an organization’s
Pan, J.Y.
core
Effective and Reliable Malware Group Classification for a Massive Malware Environment
International Journal of Distributed Sensor Networks, 2016 Most of the cyber-attacks are caused by malware, and damage from them has escalated from cyber space to home appliances and infrastructure, thus affecting the daily living of the people. As such, anticipative analysis and countermeasures for malware have
Taejin Lee, Jin Kwak
doaj +1 more source
An Efficient Boosting-Based Windows Malware Family Classification System Using Multi-Features Fusion
Applied Sciences, 2023 In previous years, cybercriminals have utilized various strategies to evade identification, including obfuscation, confusion, and polymorphism technology, resulting in an exponential increase in the amount of malware that poses a serious threat to ...
Zhiguo Chen, Xuanyu Ren
doaj +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Devious chatbots - interactive malware with a plot [PDF]
, 2009 Many social robots in the forms of conversation agents or Chatbots have been put to practical use in recent years. Their typical roles are online help or acting as a cyber agent representing an organisation.
Wong, K.W., Fung, C.C., Pan, J.Y.
core
Malware Classification Using Ensemble Classifiers [PDF]
, 2018 Antimalware offers detection mechanism to detect and take appropriate action against malware detected. To evade detection, malware authors had introduced polymorphism to malware.
Mohd Hanafi Ahmad Hijazi +6 more
core +1 more source
Contemporary Accounting Research, EarlyView.ABSTRACT Using online job postings data, we explore whether auditors adjust their human capital in response to clients' cyber breach incidents. We find that audit offices increase their demand for cybersecurity specialists after their clients' cyber breaches, implying that cyber breaches change not only client risk but also their auditor's production ...
Bing Li +3 more
wiley +1 more source
Pattern for malware remediation – A last line of defence tool against Malware in the global communication platform [PDF]
, 2012 Malware is becoming a major problem to every organization that operates on the global communication platform. The malicious software programs are advancing in sophistication in many ways in order to defeat harden deployed defenses. When an organization’s
Fung, Chun Che +3 more
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File Entropy Signal Analysis Combined With Wavelet Decomposition for Malware Classification
IEEE Access, 2020 With the rapid development of the Internet, malware variants have increased exponentially, which poses a key threat to cyber security. Persistent efforts have been made to classify malware variants, but there are still many challenges, including the ...
Hui Guo +5 more
doaj +1 more source