Results 151 to 160 of about 616,005 (189)

Overlapping Domain Decomposition Algorithms for General Sparse Matrices

Numerical Linear Algebra with Applications, 1996
The authors construct additive and multiplicative Schwarz preconditioners based on an overlapping partitioning of the graph \(G= (W, E)\) of the system matrix \(A= [a_{i, j}]_{i, j= 1,\dots, n}\) that is supposed to be a sparse matrix with a symmetric non-zero pattern, where the set of vertices \(W= \{1,\dots, n\}\) of the graph \(G\) represents the ...
Cai, Xiao-Chuan, Saad, Yousef
openaire   +2 more sources

Detecting Broad Length Algorithmically Generated Domains

2017
Domain generation algorithm (DGA) represents a safe haven for modern botnets, as it enables them to escape detection. Due to the fact that DGA domains are generated randomly, they tend to be unusually long, which can be leveraged toward detecting them.
Aashna Ahluwalia, Issa Traore, Karim Ganame, Nainesh Agarwal   +3 more
openaire   +1 more source

Proactive detection of algorithmically generated malicious domains

2018 International Conference on Information Networking (ICOIN), 2018
Using an intrinsic feature of malicious domain name queries prior to their registration (perhaps due to clock drift), we devise a difference-based lightweight feature for malicious domain name detection. Using NXDomain query and response of a popular malware, we establish the effectiveness of our detector with 99% accuracy, and as early as more than 48
Spaulding, Jeffrey, Park, Jeman, Kim, Joongheon, Mohaisen, Aziz   +3 more
openaire   +2 more sources

Popularity-based Detection of Domain Generation Algorithms

Proceedings of the 12th International Conference on Availability, Reliability and Security, 2017
In order to stay undetected and keep their operations alive, cyber criminals are continuously evolving their methods to stay ahead of current best defense practices. Over the past decade, botnets have developed from using statically hardcoded IP addresses and domain names to randomly-generated ones, so-called domain generation algorithms (DGA ...
Jasper Abbink, Christian Doerr
openaire   +1 more source

Detecting Domain Generation Algorithms Based on Reinforcement Learning

2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2019
Ransomwares spread rapidly over the past two years, which poses great security threats to users. DGA domain name detection is one of the key technologies in detecting ransomwares. Existing detection methods are usually based on machine learning, which needs large amounts of training data.
Hua Cheng, Yiquan Fang, Lihuang Chen, Jing Cai   +3 more
openaire   +1 more source

Detecting Domain Generation Algorithms Based on Cascade Foresets

Proceedings of the 2019 International Conference on Data Mining and Machine Learning, 2019
In a botnet, the attacker often uses domain fluxing to hide communication channel. Domain Generation Algorithm (DGA) is a kind of technique which is usually utilized by domain fluxing. Each bot uses a DGA to generate plenty of domain names and one of them will be registered by the botmaster as the domain name mapping to the C&C server.
Xianrong Song, Haoliang Sun, Hong Zhang, Meng Zhang   +3 more
openaire   +1 more source

Domain Algorithmically Generated Botnet Detection and Analysis

2015
To detect domains used by botnet and generated by algorithms, a new technique is proposed to analyze the query difference between algorithmically generated domain and legal domain based on a fact that every domain name in the domain group generated by one botnet has similar live time and query style.
Xiaolin Xu, Yonglin Zhou, Qingshan Li
openaire   +1 more source

Mobility Based Distributed Domain Generation Algorithm for MANETs

2005 International Conference on Wireless Networks, Communications and Mobile Computing, 2005
Ad hoc networks are very important for scenarios where there is not fixed network infrastructure. These scenarios may appear both in the military and the commercial world. Even though there is much advancement in the area of these networks, they do not scale well.
K. Manousakis, J. Baras
openaire   +1 more source

Noise Reduction Algorithms in a Generalized Transform Domain

IEEE Transactions on Audio, Speech, and Language Processing, 2009
Noise reduction for speech applications is often formulated as a digital filtering problem, where the clean speech estimate is obtained by passing the noisy speech through a linear filter/transform. With such a formulation, the core issue of noise reduction becomes how to design an optimal filter (based on the statistics of the speech and noise signals)
Jacob Benesty, Jingdong Chen, Yiteng Arden Huang   +2 more
openaire   +1 more source

Feature Extraction Approach to Unearth Domain Generating Algorithms (DGAs)

2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2020
Domain name plays a crucial role today, a technique was developed to algorithmically generate do-main names (AGD) with the idea to solve the problem of designing domain names manually. Attackers deploy highly sophisticated tactics to compromise end-user systems to gain control as a target for malware to spread, as they are immune to static prevention ...
Shubhangi Upadhyay, Ali Ghorbani
openaire   +1 more source