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of 78
pro vyhledávání: '"GHARAKHEILI, HASSAN HABIBI"'
Behavioral transparency for Internet-of-Things (IoT) networked assets involves two distinct yet interconnected tasks: (a) characterizing device types by discerning the patterns exhibited in their network traffic, and (b) assessing vulnerabilities the
Externí odkaz:
http://arxiv.org/abs/2404.07408
Publikováno v:
NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, Korea, Republic of, 2024, pp. 1-5
With rising concerns about the security of IoT devices, network operators need better ways to handle potential risks. Luckily, IoT devices show consistent patterns in how they communicate. But despite previous efforts, it remains unclear how knowledg
Externí odkaz:
http://arxiv.org/abs/2401.00141
Publikováno v:
in IEEE Access, vol. 12, pp. 89363-89383, 2024
Enterprise networks that host valuable assets and services are popular and frequent targets of distributed network attacks. In order to cope with the ever-increasing threats, industrial and research communities develop systems and methods to monitor
Externí odkaz:
http://arxiv.org/abs/2306.16675
Autor:
Hamza, Ayyoob, Gharakheili, Hassan Habibi, Benson, Theophilus A., Batista, Gustavo, Sivaraman, Vijay
IoT networks are increasingly becoming target of sophisticated new cyber-attacks. Anomaly-based detection methods are promising in finding new attacks, but there are certain practical challenges like false-positive alarms, hard to explain, and diffic
Externí odkaz:
http://arxiv.org/abs/2304.04987
Autor:
Pashamokhtari, Arman, Okui, Norihiro, Nakahara, Masataka, Kubota, Ayumu, Batista, Gustavo, Gharakheili, Hassan Habibi
Millions of vulnerable consumer IoT devices in home networks are the enabler for cyber crimes putting user privacy and Internet security at risk. Internet service providers (ISPs) are best poised to play key roles in mitigating risks by automatically
Externí odkaz:
http://arxiv.org/abs/2301.06695
Machine Learning-based techniques have shown success in cyber intelligence. However, they are increasingly becoming targets of sophisticated data-driven adversarial attacks resulting in misprediction, eroding their ability to detect threats on networ
Externí odkaz:
http://arxiv.org/abs/2203.09792
Publikováno v:
IEEE Transactions on Network and Service Management, 2023
The Domain Name System (DNS) is a critical service that enables domain names to be converted to IP addresses (or vice versa); consequently, it is generally permitted through enterprise security systems (e.g., firewalls) with little restriction. This
Externí odkaz:
http://arxiv.org/abs/2201.07352
Publikováno v:
ACM Comput. Surv. 55, 8, Article 162 (August 2023), 28 pages (2022)
The domain name system (DNS) that maps alphabetic names to numeric Internet Protocol (IP) addresses plays a foundational role for Internet communications. By default, DNS queries and responses are exchanged in unencrypted plaintext, and hence, can be
Externí odkaz:
http://arxiv.org/abs/2201.00900
Social media, professional sports, and video games are driving rapid growth in live video streaming, on platforms such as Twitch and YouTube Live. Live streaming experience is very susceptible to short-time-scale network congestion since client playb
Externí odkaz:
http://arxiv.org/abs/2112.02637
Universities worldwide are experiencing a surge in enrollments, therefore campus estate managers are seeking continuous data on attendance patterns to optimize the usage of classroom space. As a result, there is an increasing trend to measure classro
Externí odkaz:
http://arxiv.org/abs/2104.10667