Results 201 to 210 of about 3,299,036 (246)

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

A Novel Cyber Attack Detection Method in Networked Control Systems

IEEE Transactions on Cybernetics, 2018
This paper is concerned with cyber attack detection in a networked control system. A novel cyber attack detection method, which consists of two steps: 1) a prediction step and 2) a measurement update step, is developed.
Ljubo Vlačić, Fuwen Yang, Qing-Long Han   +2 more
exaly   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Detecting Cyber-Attacks

New Electronics, 2020
ULTRASOC AND AGILE ANALOG WORK TO DETECT PHYSICAL CYBER-ATTACKS.
openaire   +1 more source

Context and semantics for detection of cyber attacks

International Journal of Information and Computer Security, 2014
This paper presents a novel layered cyber-attack detection approach utilising: 1 semantic relationships between attacks to infer possible related suspicious network activities from connections between hosts; 2 contextual information expressed as attack context profiles on top of semantic relationships.
Ahmed Aleroud, George Karabatis, Prayank Sharma, Peng He   +3 more
openaire   +1 more source

IoT Cyber-Attack Detection: A Comparative Analysis

International Conference on Data Science, E-learning and Information Systems 2021, 2021
A cyber-attack is precautious manipulation of computer systems and networks using malware to conciliate data or restrict processes or operations. These types of attacks are vastly growing over the years. This increase in structure and complexity calls for advanced innovation in defensive strategies and detection.
Abdul Hanan K. Mohammed, Hrag-Harout Jebamikyous, Dina Nawara, Rasha F. Kashef   +3 more
openaire   +1 more source

Detection of collaborative misbehaviour in distributed cyber-attacks

Computer Communications, 2021
Abstract In this article, we consider the detection of suspiciously high correlation between malicious Internet users that are collaborating in order to cause a Distributed Denial of Service (DDoS) attack. The main goal is to obtain a method for judging correlated misbehaviour among the requests that are issued by different users, aiming to recognize
Marios Thoma, Christoforos N. Hadjicostis   +1 more
openaire   +1 more source

Scalable Detection of Cyber Attacks

2011
Attackers can exploit vulnerabilities to incrementally penetrate a network and compromise critical systems. The enormous amount of raw security data available to analysts and the complex interdependencies among vulnerabilities make manual analysis extremely labor-intensive and error-prone. To address this important problem, we build on previous work on
Massimiliano Albanese, Sushil Jajodia, Andrea Pugliese 0001, V. S. Subrahmanian   +3 more
openaire   +2 more sources

Detection of complex cyber attacks

SPIE Proceedings, 2006
One significant drawback to currently available security products is their inabilty to correlate diverse sensor input. For instance, by only using network intrusion detection data, a root kit installed through a weak username-password combination may go unnoticed.
Ian Gregorio- de Souza, Vincent H. Berk, Annarita Giani, George Bakos, Marion Bates, George Cybenko, Doug Madory   +6 more
openaire   +1 more source

Faults and Cyber Attacks Detection in Critical Infrastructures

2016
In this paper we study the case of Critical Infrastructures (CIs), and especially power grid systems, which nowadays rely on computers and the Internet for their operation. We propose a combinatorial method for automatic detection and classification of faults and cyber-attacks, when there is limited data from the power grid nodes due to cyber ...
Yannis Soupionis, Stavros Ntalampiras, Georgios Giannopoulos   +2 more
openaire   +3 more sources

Intrusion Detection Techniques for Detection of Cyber Attacks

2021
Intrusion detection system (IDS) is a software-related application where we can detect the system or network activities and notice if any suspicious task happens. Excellent broadening and the use of the Internet lift examine the communication and save the digital information securely. Nowadays, attackers use variety of attacks for fetching private data.
Shaikh Sahil Ahmed, Mahesh Kankar, Bhawana Rudra   +2 more
openaire   +1 more source