Results 91 to 100 of about 1,097,826 (233)

Traffic-based Malicious Switch Detection in SDN

International Journal of Security and Its Applications, 2014
In Software Defined Networking (SDN) architecture, the control plane is separated from the data plane. On one hand, OpenFlow switches can only store and forward packets, which leaves all decisions to be made by the controller. On the other hand, the controller has a global view over the SDN. But if any switch is captured by an adversary, it may mislead
Xiaodong Du, Ming-Zhong Wang, Xiaoping Zhang, Liehuang Zhu   +3 more
openaire   +1 more source

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

Escape method of malicious traffic based on backdoor attack

Tongxin xuebao
Launching backdoor attacks against deep learning (DL)-based network traffic classifiers, and a method of malicious traffic escape was proposed based on the backdoor attack.
MA Bowen, GUO Yuanbo, MA Jun, ZHANG Qi, FANG Chen   +4 more
doaj   +2 more sources

Neurobiological correlates of obsessive‐compulsive disorder (OCD): A narrative review

Ibrain, Volume 12, Issue 1, Page 86-95, Spring 2026.
Obsessive‐compulsive disorder (OCD) is a common and disabling, as well as underdiagnosed, neuropsychiatric condition characterized by involuntary and unwanted obsessions and/or compulsions often accompanied by states of severe anxiety, distress and shame, as well as other comorbid disorders. Despite the extensive literature available to date, only some
Giulio Perrotta, Anna Sara Liberati
wiley   +1 more source

Do Fans of Violent Stories Show a Higher Potential for Creative Harm? True Crime as a Stimulating Environment for Malevolent Creativity

The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
ABSTRACT The media we consume may shape our cognition, emotion, and behavior. While violent media effects on aggression have been studied extensively, one popular media genre has escaped scrutiny until now: true crime, featuring real stories of assault, murder, or serial killings.
Corinna M. Perchtold‐Stefan, David Cropley, Katharina Sattler, Christian Rominger, Andreas Fink, Matthijs Baas   +5 more
wiley   +1 more source

Malicious Domain Detection Based on Traffic Similarity

DEStech Transactions on Computer Science and Engineering, 2017
Domain name system is an important resource in the Internet. Malicious domain detection techniques are used to find the malicious domains which are designed for malicious behaviors. The paper analyzes the existing malicious domain detection techniques and then proposes a new malicious domain detection technique based on traffic similarity.
JIANPING HU, YONGYI WANG, FAN SHI, CHENGXI XU   +3 more
openaire   +2 more sources

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems

Software: Practice and Experience, Volume 56, Issue 3, Page 239-259, March 2026.
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar, Tommaso Zoppi, Andrea Ceccarelli, Leonardo Montecchi, Andrea Bondavalli   +4 more
wiley   +1 more source

Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network. [PDF]

Sensors (Basel), 2022
Alalwany E, Mahgoub I.
europepmc   +1 more source

Edge‐Oriented DoS/DDoS Intrusion Detection and Supervision Platform

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT This work presents an Edge Node‐Oriented DoS/DDoS Intrusion Detection and Monitoring Platform, a novel anomaly detection system based on temporal analysis with machine learning (ML) and deep learning (DL) algorithms, specifically designed to operate on edge servers with limited resources.
Geraldo Eufrazio Martins Júnior, Thales Guimaraes Marques, Wendley Souza da Silva, Joaquim Celestino Junior   +3 more
wiley   +1 more source