Results 51 to 60 of about 11,129 (226)

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

open access: yesEnergy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali   +6 more
wiley   +1 more source

Pattern for malware remediation – A last line of defence tool against Malware in the global communication platform [PDF]

open access: yes, 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
core   +1 more source

Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis

open access: yesGlobal Business and Organizational Excellence, EarlyView.
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma   +4 more
wiley   +1 more source

Devious chatbots - interactive malware with a plot [PDF]

open access: yes, 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   +1 more source

Android malware family classification based on resource consumption over time [PDF]

open access: yes, 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

Dynamic Analysis for IoT Malware Detection With Convolution Neural Network Model

open access: yesIEEE Access, 2020
Internet of Things (IoT) technology provides the basic infrastructure for a hyper connected society where all things are connected and exchange information through the Internet.
Jueun Jeon   +2 more
doaj   +1 more source

Bayesian Active Malware Analysis

open access: yesInternational Joint Conference on Autonomous Agents and Multiagent Systems, 2020
We propose a novel technique for Active Malware Analysis (AMA) formalized as a Bayesian game between an analyzer agent and a malware agent, focusing on the decision making strategy for the analyzer. In our model, the analyzer performs an action on the system to trigger the malware into showing a malicious behavior, i.e., by activating its payload.
Riccardo Sartea   +3 more
openaire   +3 more sources

A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems

open access: yesSystems Engineering, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley   +1 more source

Fighting fire with fire – a Pre-emptive approach to restore control over IT assets from malware infection [PDF]

open access: yes, 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   +1 more source

Analysis of Malware Propagation in Twitter [PDF]

open access: yes2013 IEEE 32nd International Symposium on Reliable Distributed Systems, 2013
Malware propagation in social networks is a potential risk that has not been well-studied yet as there are no formal threat models for social networks. In this paper we investigate the vulnerability and cost of spreading malware via Twitter. Towards this end we present three specific attack scenarios targeted for Twitter and systematically analyze the ...
Ameya Sanzgiri   +2 more
openaire   +1 more source

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