Evaluating Network-Based DoS Attacks under the Energy Consumption Perspective: New Security Issues in the Coming Green ICT Area

In the green Information and Communication Society (ICS), new form of Denial of Service (DoS) attacks may be put in place: exploiting the computational and storage resources of datacenters with the aim of consuming as much energy as possible, causing detrimental effects, from high costs in the energy bill, to penalization for exceeding the agreed quantity of CO2 emissions, up to complete denial of service due to power outages. To the best of our knowledge, this is the first paper which investigates the impacts of network-based DoS attacks under the energy consumption perspective. We analyzed different types of such attacks with their impacts on the energy consumption, and showed that current energy-aware technologies may provide attackers with great opportunities for raising the target facility energy consumption and consequently its green house gases (GHG) emissions and costs.

[1]  Nian-Feng Tzeng,et al.  Chaotic attractor prediction for server run-time energy consumption , 2010 .

[2]  Thomas F. Wenisch,et al.  PowerNap: eliminating server idle power , 2009, ASPLOS.

[3]  Luiz André Barroso,et al.  The Case for Energy-Proportional Computing , 2007, Computer.

[4]  Bruce Nordman,et al.  Data Center Power Requirements: Measurements From Silicon Valley , 2003 .

[5]  Qijun Gu,et al.  Denial of Service Attacks , 2012 .

[6]  Wolf-Dietrich Weber,et al.  Power provisioning for a warehouse-sized computer , 2007, ISCA '07.

[7]  Michael Kistler,et al.  The case for power management in web servers , 2002 .

[8]  Francesco Palmieri,et al.  Analyzing Local Strategies for Energy-Efficient Networking , 2011, Networking Workshops.

[9]  Liviu Iftode,et al.  Security versus energy tradeoffs in host-based mobile malware detection , 2011, MobiSys '11.

[10]  Pedro Reviriego,et al.  IEEE 802.3az: the road to energy efficient ethernet , 2010, IEEE Communications Magazine.

[11]  Nian-Feng Tzeng,et al.  Run-time Energy Consumption Estimation Based on Workload in Server Systems , 2008, HotPower.

[12]  Emmanuel Agu,et al.  Experimental Evaluation of Energy-Based Denial-of Service Attacks in Wireless Networks , 2007 .

[13]  Mahmut T. Kandemir,et al.  Reducing Disk Power Consumption in Servers with DRPM , 2003, Computer.

[14]  Andrew W. Moore,et al.  Characterizing 10 Gbps network interface energy consumption , 2010, IEEE Local Computer Network Conference.

[15]  Johannes G. Janzen Calculating Memory System Power for DDR SDRAM , 2001 .

[16]  George Forman,et al.  Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center , 2007, USENIX Annual Technical Conference.