Results 71 to 80 of about 4,251 (194)

Malicious Traffic Detection System using Publicly Available Blacklist’s

International Journal of Engineering and Advanced Technology, 2019
In this fastest growing technology with the increase in internet usage, the communication became much faster and easier which resulted in the massive growth in digitalization. With this the cyber crimes were increasing day-by-day . They employ every possible technique and trick to make the users as zombies for their malicious activities or Crypto ...
Sudarshan N, P. Dass
openaire   +1 more source

“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India

Regulation &Governance, EarlyView.
ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe, Bonnie J. Palifka, Lasse Buschmann Alsbirk   +2 more
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications

Software: Practice and Experience, Volume 56, Issue 4, Page 339-356, April 2026.
ABSTRACT Software agents and multi‐agent systems are critical components in the development of distributed autonomous systems, as they exhibit a wide range of “intelligence,” from reactive behaviors to advanced reasoning and planning. Integrating these capabilities into multi‐agent systems enables distributed artificial intelligence, a programming ...
Davide Carnemolla, Fabrizio Messina, Federico Fausto Santoro, Corrado Santoro   +3 more
wiley   +1 more source

An FPGA System for Detecting Malicious DNS Network Traffic [PDF]

, 2011
Billions of legitimate packets traverse computer networks every day. Unfortunately, malicious traffic also traverses these same networks. An example is traffic that abuses the Domain Name System (DNS) protocol to exfiltrate sensitive data, establish backdoor tunnels or control botnets. This paper describes the TRAPP-2 system, an extended version of the
Thomas, Brennon, Mullins, Barry, Peterson, Gilbert, Mills, Robert   +3 more
openaire   +2 more sources

MLDAS: Machine Learning Dynamic Algorithm Selection for Software‐Defined Networking Security

Concurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.
ABSTRACT Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning (ML) algorithms with Software‐Defined Networking (SDN) controllers to enhance network security through adaptive ...
Pablo Benlloch, Oscar Romero, Antonio Leon, Jaime Lloret   +3 more
wiley   +1 more source

Enhancing Detection of Malicious Traffic Through FPGA-Based Frequency Transformation and Machine Learning

IEEE Access
In recent years, with the development of modern network, in order to avoid threats caused by cyber attacks, it is important to understand how to implement effective security measures.
Zhenguo Hu, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada   +3 more
doaj   +1 more source

Clinical Correlates of Compliance, Appeasement and Resistance in Command Hallucinations: A Systematic Review

Clinical Psychology &Psychotherapy, Volume 33, Issue 2, March/April 2026.
ABSTRACT Objective Command hallucinations (CHs) are a subtype of auditory hallucination commonly observed in psychosis and are strongly associated with harmful behaviours towards the self and others. Despite their clinical relevance, no review has synthesised the clinical variables associated with compliance, appeasement and resistance.
M. Medas, A. Georgiades
wiley   +1 more source

Privacy-preserving payload-based correlation for accurate malicious traffic detection

Proceedings of the 2006 SIGCOMM workshop on Large-scale attack defense, 2006
With the increased use of botnets and other techniques to obfuscate attackers' command-and-control centers, Distributed Intrusion Detection Systems (DIDS) that focus on attack source IP addresses or other header information can only portray a limited view of distributed scans and attacks. Packet payload sharing techniques hold far more promise, as they
Parekh, Janak J., Wang, Ke, Stolfo, Salvatore   +2 more
openaire   +4 more sources

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source