Scalable detection of botnets based on DGA
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-018-03703-8
Abstract: Botnets are evolving, and their covert modus operandi, based on cloud technologies such as the virtualisation and the dynamic fast-flux addressing, has been proved challenging for classic intrusion detection systems and even the so-called next-generation… read more here.
Keywords: scalable detection; botnets based; dga; detection botnets ... See more keywords
Interactions Between Hydrated Cerium(III) Cations and Carboxylates in an Aqueous Solution: Anomalously Strong Complex Formation with Diglycolate, Suggesting a Chelate Effect
Sign Up to like & getrecommendations! Published in 2020 at "ACS Omega"
DOI: 10.1021/acsomega.0c04724
Abstract: Interactions between hydrated Ce3+ and various carboxylates are of fundamental interest. Anomalously strong interactions with Ce3+ occur when diglycolic acid (DGA) is added into a Ce3+ aqueous solution, unlike various other carboxylic acids. Herein, the… read more here.
Keywords: chelate effect; dga; anomalously strong; complex formation ... See more keywords
Enhancing the Diagnostic Accuracy of DGA Techniques Based on IEC-TC10 and Related Databases
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3107332
Abstract: Investigating and enhancing the accuracy of widespread dissolved gas analysis (DGA) techniques based on IEC-TC10 and related databases was implemented. The current work aimed to help the experts to diagnose the transformers’ faults accurately. The… read more here.
Keywords: dga; diagnostic accuracy; accuracy; based iec ... See more keywords
Reliable Estimation for Health Index of Transformer Oil Based on Novel Combined Predictive Maintenance Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3156102
Abstract: Transformer oil insulation condition may be deteriorated due to electrical and thermal faults, which may lead to transformer failure and system outage. In this regard, the first part of this paper presents comprehensive maintenance for… read more here.
Keywords: transformer; dga; health index; oil ... See more keywords
Robust Botnet DGA Detection: Blending XAI and OSINT for Cyber Threat Intelligence Sharing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3162588
Abstract: We investigated 12 years DNS query logs of our campus network and identified phenomena of malicious botnet domain generation algorithm (DGA) traffic. DGA-based botnets are difficult to detect using cyber threat intelligence (CTI) systems based… read more here.
Keywords: cti; intelligence; xai osint; cyber threat ... See more keywords
Automatic Detection of DGA-Enabled Malware Using SDN and Traffic Behavioral Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3173591
Abstract: Enterprise networks are under enormous threats from sophisticated cyber-attacks. Various kinds of malware are installed by attackers on compromised hosts, acting as bots that typically use Domain Generation Algorithms (DGAs) to communicate with their Command… read more here.
Keywords: dga enabled; malware; traffic; detection ... See more keywords
The long‐term effect of previous dental treatment under general anaesthesia on children's dental fear and anxiety
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Paediatric Dentistry"
DOI: 10.1111/ipd.12455
Abstract: BACKGROUND Dental treatment under general anaesthesia (DGA) is deemed to contribute to children's dental fear and anxiety (DFA), both in the short term and long term. OBJECTIVE To compare DFA between children who had previous… read more here.
Keywords: term; anxiety; dga; group ... See more keywords
A Multinomial DGA Classifier for Incipient Fault Detection in Oil-Impregnated Power Transformers
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14040128
Abstract: This study investigates the use of machine-learning approaches to interpret Dissolved Gas Analysis (DGA) data to find incipient faults early in oil-impregnated transformers. Transformers are critical pieces of equipment in transmitting and distributing electrical energy.… read more here.
Keywords: dga; multinomial dga; power; dga data ... See more keywords