Defense against node compromise in sensor network security

Recent advances in electronic and computer technologies lead to wide-spread deployment of wireless sensor networks (WSNs). WSNs have wide range applications, including military sensing and tracking, environment monitoring, smart environments, etc. Many WSNs have mission-critical tasks, such as military applications. Thus, the security issues in WSNs are kept in the foreground among research areas. Compared with other wireless networks, such as ad hoc, and cellular networks, security in WSNs is more complicated due to the constrained capabilities of sensor nodes and the properties of the deployment, such as large scale, hostile environment, etc. Security issues mainly come from attacks. In general, the attacks in WSNs can be classified as external attacks and internal attacks. In an external attack, the attacking node is not an authorized participant of the sensor network. Cryptography and other security methods can prevent some of external attacks. However, node compromise, the major and unique problem that leads to internal attacks, will eliminate all the efforts to prevent attacks. Knowing the probability of node compromise will help systems to detect and defend against it. Although there are some approaches that can be used to detect and defend against node compromise, few of them have the ability to estimate the probability of node compromise. Hence, we develop basic uniform, basic gradient, intelligent uniform and intelligent gradient models for node compromise distribution in order to adapt to different application environments by using probability theory. These models allow systems to estimate the probability of node compromise. Applying these models in system security designs can improve system security and decrease the overheads nearly in every security area. Moreover, based on these models, we design a novel secure routing algorithm to defend against the routing security issue that comes from the nodes that have already been compromised but have not been detected by the node compromise detecting mechanism. The routing paths in our algorithm detour those nodes which have already been detected as compromised nodes or have larger probabilities of being compromised. Simulation results show that our algorithm is effective to protect routing paths from node compromise whether detected or not.

Defense Expenditure: Central America and The Dominican Republic

It is often speculated that the high allocation of funds to retirement pension systems has influenced the capacity of Central American and Dominican Republic military to modernize. Yet, the comparative study of the allocation of pension and social funds in these particular countries suggest that there is not direct linkage between the poor funding of military modernization plans and the allocation of funds to military pension systems. The research conducted on this subject shows the following results: 1. The Dominican Republic is the only country that has embarked on a considerable procurement of modern equipment and still reports the largest proportion of social expenditures. 2. El Salvador’s defense budget allocates minimal funding to Social Welfare Institute, which as alternative sources of funding. In 2009, El Salvador increased 15 percent funding to the military to respond to increased role in domestic security issues. 3. The Guatemalan defense expenditure on social programs is fairly low, but it has grown during the past six years due to processes of demobilization. However, the Military Social Welfare Institute is administered by a decentralized institution funded directly by the Ministry of Finance. If it were to be considered as a part of the defense budget, its social expenses would account for almost 16% of it. 4. The Honduran Defense Budget has faced a considerable enlargement during the past four years, with social spending expenses taken precedence over modernization efforts. 2 5. The Nicaraguan system of military pensions is administered by a decentralized entity (IPSM) through a system of salary deductions. Information on the funding of this entity is inconclusive. The Nicaraguan Defense spending on social services has reported a drastic 90% drop since the year 2007.

South American Defense Council: What it Means for Regional Security?

The South American Defense Council (CSD), created in March 2009 as a military coordinating body of the Union of South American Nations (UNASUR) demonstrates a growing trend among Latin American countries to approach matters of regional security independent of the United States. The CSD also indicates a maturation of democratic civil military relations in a region once dominated by authoritarian military regimes. The CSD aims to facilitate the exchange of information about regional defense policies, promote collaboration for disaster relief, and promote civil-military engagement. In less than a year it is hardly a tested entity, but the presence of 12 South American states coming together around security policy marks an important moment in the evolution of civil-military relations in the region. Brazil has taken on an important leadership role in the CSD, acting as a leader in recent regional peacekeeping efforts. As a geopolitical move, Brazil also sees a benefit in promoting good relationships with all countries of South america, given its common border with nine of them. Although the United States is not a member of the CSD, the organization's agenda of infromation exchange of defense policies, military cooperation, and capacity building, including disaster assistance and preparedness provide opportunities for greater collaboration. The CSD is not part of the Inter-American System created after the Second World War. It is unclear how its work will coincide with the OAS Committee on Hemispheric Security or its Secretariat for Multidimensional Security. The U.S. should view the CSD as a mechanism to promote joint initiatives that encourage democratic governance in the region.

Defense Against Node Compromise in Sensor Network Security

Recent advances in electronic and computer technologies lead to wide-spread deployment of wireless sensor networks (WSNs). WSNs have wide range applications, including military sensing and tracking, environment monitoring, smart environments, etc. Many WSNs have mission-critical tasks, such as military applications. Thus, the security issues in WSNs are kept in the foreground among research areas. Compared with other wireless networks, such as ad hoc, and cellular networks, security in WSNs is more complicated due to the constrained capabilities of sensor nodes and the properties of the deployment, such as large scale, hostile environment, etc. Security issues mainly come from attacks. In general, the attacks in WSNs can be classified as external attacks and internal attacks. In an external attack, the attacking node is not an authorized participant of the sensor network. Cryptography and other security methods can prevent some of external attacks. However, node compromise, the major and unique problem that leads to internal attacks, will eliminate all the efforts to prevent attacks. Knowing the probability of node compromise will help systems to detect and defend against it. Although there are some approaches that can be used to detect and defend against node compromise, few of them have the ability to estimate the probability of node compromise. Hence, we develop basic uniform, basic gradient, intelligent uniform and intelligent gradient models for node compromise distribution in order to adapt to different application environments by using probability theory. These models allow systems to estimate the probability of node compromise. Applying these models in system security designs can improve system security and decrease the overheads nearly in every security area. Moreover, based on these models, we design a novel secure routing algorithm to defend against the routing security issue that comes from the nodes that have already been compromised but have not been detected by the node compromise detecting mechanism. The routing paths in our algorithm detour those nodes which have already been detected as compromised nodes or have larger probabilities of being compromised. Simulation results show that our algorithm is effective to protect routing paths from node compromise whether detected or not.