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Aloysius Wooi Kiak Ang

dblp:193/8234 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Authentication and access control · 67% Network security · 33%
Computer networks
1 paper
Network management and operations · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control › authentication
authentication system
0.312017
FACT: A Framework for Authentication in Cloud-Based IP Traceback · IEEE Trans. Inf. Forensics Secur. 2017
Network security
IP traceback
0.312017
FACT: A Framework for Authentication in Cloud-Based IP Traceback · IEEE Trans. Inf. Forensics Secur. 2017
Authentication and access control › user authentication
token-based authentication
0.312017
FACT: A Framework for Authentication in Cloud-Based IP Traceback · IEEE Trans. Inf. Forensics Secur. 2017
Network management and operations › fault management › fault diagnosis
network fault diagnosis
0.112017
FACT: A Framework for Authentication in Cloud-Based IP Traceback · IEEE Trans. Inf. Forensics Secur. 2017

Methods — techniques the papers use, named apart from their topics

temporal token embedding · 0.6access control · 0.6
YearPublicationVenuePosition
2017 FACT: A Framework for Authentication in Cloud-Based IP Traceback
abstract
IP traceback plays an important role in cyber investigation processes, where the sources and the traversed paths of packets need to be identified. It has a wide range of applications, including network forensics, security auditing, network fault diagnosis, and performance testing. Despite a plethora of research on IP traceback, the Internet is yet to see a large-scale practical deployment of traceback. Some of the major challenges that still impede an Internet-scale traceback solution are, concern of disclosing Internet Service Provider (ISP's) internal network topologies (in other words, concern of privacy leak), poor incremental deployment, and lack of incentives for ISPs to provide traceback services. In this paper, we argue that cloud services offer better options for the practical deployment of an IP traceback system. We first present a novel cloud-based traceback architecture, which possesses several favorable properties encouraging ISPs to deploy traceback services on their networks. While this makes the traceback service more accessible, regulating access to traceback service in a cloud-based architecture becomes an important issue. Consequently, we address the access control problem in cloud-based traceback. Our design objective is to prevent illegitimate users from requesting traceback information for malicious intentions (such as ISPs topology discovery). To this end, we propose a temporal token-based authentication framework, called FACT, for authenticating traceback service queries. FACT embeds temporal access tokens in traffic flows, and then delivers them to end-hosts in an efficient manner. The proposed solution ensures that the entity requesting for traceback service is an actual recipient of the packets to be traced. Finally, we analyze and validate the proposed design using real-world Internet data sets.
Long Cheng 0005, Dinil Mon Divakaran, Aloysius Wooi Kiak Ang, Wee-Yong Lim, Vrizlynn L. L. Thing
IEEE Trans. Inf. Forensics Secur.3