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MOBISYS
2008
ACM
16 years 5 months ago
Detecting energy-greedy anomalies and mobile malware variants
Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
Hahnsang Kim, Joshua Smith, Kang G. Shin
IMC
2009
ACM
16 years 12 days ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
SIGCOMM
2009
ACM
16 years 12 days ago
SMACK: a SMart ACKnowledgment scheme for broadcast messages in wireless networks
Network protocol designers, both at the physical and network level, have long considered interference and simultaneous transmission in wireless protocols as a problem to be avoide...
Aveek Dutta, Dola Saha, Dirk Grunwald, Douglas C. ...
EDOC
2008
IEEE
16 years 10 days ago
Reliable Discovery and Selection of Composite Services in Mobile Environments
Service providers as we know them nowadays are the always-on “static” web service providers, that aim at Five9 availability (99.999%). Formal, or de-facto, standards, such as ...
Lucia Del Prete, Licia Capra
MICRO
2008
IEEE
148views Hardware» more  MICRO 2008»
16 years 8 days ago
Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...
Ramazan Bitirgen, Engin Ipek, José F. Mart&...