Zobrazeno 1 - 10
of 625
pro vyhledávání: '"network traffic analysis"'
Autor:
Arkadii Kravchuk, Mykola Onai
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 3, Pp 132-155 (2024)
The subject matter of this article is the methods to detect distributed denial-of-service (DDoS) attacks at the Hypertext Transfer Protocol (HTTP) level with the purpose of justifying the requirements for creating software capable of identifying mali
Externí odkaz:
https://doaj.org/article/f82f5dd5051141b6bd007b1a1a52e0ce
Autor:
Joonseo Ha, Heejun Roh
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 594-599 (2024)
Recently, QUIC for the secure and faster connections has standardized but it is unclear that QUIC can cope with website fingerprinting (WF), a technique to infer visited websites from network traffic, since most existing efforts targeted TCP-induced
Externí odkaz:
https://doaj.org/article/5962e2e44f2f4a93abf2f327d931dfe7
Autor:
Marziyeh Bayat, Javad Garshasbi, Mozhgan Mehdizadeh, Neda Nozari, Abolghasem Rezaei Khesal, Maryam Dokhaei, Mehdi Teimouri
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Objectives Recognition of mobile applications within encrypted network traffic holds considerable effects across multiple domains, encompassing network administration, security, and digital marketing. The creation of network traffic classifi
Externí odkaz:
https://doaj.org/article/182778c2a94b4f1687190ddf19d82046
Autor:
Arkan Hammoodi Hasan Kabla, Achmad Husni Thamrin, Mohammed Anbar, Selvakumar Manickam, Shankar Karuppayah
Publikováno v:
EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-19 (2024)
Abstract The orientation of emerging technologies on the Internet is moving toward decentralisation. Botnets have always been one of the biggest threats to Internet security, and botmasters have adopted the robust concept of decentralisation to devel
Externí odkaz:
https://doaj.org/article/ea0e88f6a8cb4f4fa27ec2552f14d5d8
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 6, Pp 1301-1309 (2023)
The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things (IoT) highlight the necessity of the early detection of botnets (i.e., a network of infected devices) to gain an advantage against attacks
Externí odkaz:
https://doaj.org/article/48d3dd66a9164db18d02f804fc1dce2a
Publikováno v:
Dianxin kexue, Vol 39, Pp 129-140 (2023)
The identification of the risk of network behavior victimization was of great significance for the prevention and warning of telecom network fraud.Insufficient mining of network behavior features and difficulty in determining relationships, an integr
Externí odkaz:
https://doaj.org/article/940b7d5ba96e455291a3f4b7fe04ff78
Autor:
Merve Çelebi, Uraz Yavanoğlu
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 11, Iss 3, Pp 1546-1562 (2023)
Derin Paket İnceleme (Deep Packet Inspection-DPI), hem paket başlığı hem de paket yükü üzerinde ayrıntılı analizler gerçekleştirerek ağ trafiğinin tam görünürlüğünü sağlayan teknolojidir. DPI ile iyi bilinen kötü amaçlı yaz
Externí odkaz:
https://doaj.org/article/1ca300eb91034c80ad4e7c67947a7b66
Publikováno v:
Information, Vol 15, Iss 4, p 195 (2024)
The distributed denial of service attack poses a significant threat to network security. Despite the availability of various methods for detecting DDoS attacks, the challenge remains in creating real-time detectors with minimal computational overhead
Externí odkaz:
https://doaj.org/article/3c214ec733ca441a806e9687674f2c3f
Publikováno v:
IEEE Access, Vol 11, Pp 132792-132810 (2023)
Network Intrusion Detection Systems (NIDSs) are crucial tools for ensuring cyber security. Recently, machine learning-based NIDSs have gained popularity due to their ability to adapt to various anomalies. To enable machine learning techniques, packet
Externí odkaz:
https://doaj.org/article/4315d058776543a78c92e5edae561ba8
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